Amazon Web Services Real Dumps Practice Exam Questions by Dumpswarp

AWS Certified DevOps Engineer - Professional Questions and Answers

Question 1

A company has an organization in AWS Organizations. A DevOps engineer needs to maintain multiple AWS accounts that belong to different OUs in the organization. All resources, including 1AM policies and Amazon S3 policies within an account, are deployed through AWS CloudFormation. All templates and code are maintained in an AWS CodeCommit repository Recently, some developers have not been able to access an S3 bucket from some accounts in the organization.

The following policy is attached to the S3 bucket.

What should the DevOps engineer do to resolve this access issue?

Options:

Modify the S3 bucket policy Turn off the S3 Block Public Access setting on the S3 bucket In the S3 policy, add the awsSourceAccount condition. Add the AWS account IDs of all developers who are experiencing the issue.

Verify that no 1AM permissions boundaries are denying developers access to the S3 bucket Make the necessary changes to IAM permissions boundaries. Use an AWS Config recorder in the individual developer accounts that are experiencing the issue to revert any changes that are blocking access. Commit the fix back into the CodeCommit repository. Invoke deployment through Cloud Formation to apply the changes.

Configure an SCP that stops anyone from modifying 1AM resources in developer OUs. In the S3 policy, add the awsSourceAccount condition. Add the AWS account IDs of all developers who are experiencing the issue Commit the fix back into the CodeCommit repository Invoke deployment through CloudFormation to apply the changes

Ensure that no SCP is blocking access for developers to the S3 bucket Ensure that no 1AM policy permissions boundaries are denying access to developer 1AM users Make the necessary changes to the SCP and 1AM policy permissions boundaries in the CodeCommit repository Invoke deployment through CloudFormation to apply the changes

Question 2

A company has containerized all of its in-house quality control applications. The company is running Jenkins on Amazon EC2 instances, which require patching and upgrading. The compliance officer has requested a DevOps engineer begin encrypting build artifacts since they contain company intellectual property.

What should the DevOps engineer do to accomplish this in the MOST maintainable manner?

Options:

Automate patching and upgrading using AWS Systems Manager on EC2 instances and encrypt Amazon EBS volumes by default.

Deploy Jenkins to an Amazon ECS cluster and copy build artifacts to an Amazon S3 bucket with default encryption enabled.

Leverage AWS CodePipeline with a build action and encrypt the artifacts using AWS Secrets Manager.

Use AWS CodeBuild with artifact encryption to replace the Jenkins instance running on EC2 instances.

Question 3

A DevOps engineer is working on a data archival project that requires the migration of on-premises data to an Amazon S3 bucket. The DevOps engineer develops a script that incrementally archives on-premises data that is older than 1 month to Amazon S3. Data that is transferred to Amazon S3 is deleted from the on-premises location The script uses the S3 PutObject operation.

During a code review the DevOps engineer notices that the script does not verity whether the data was successfully copied to Amazon S3. The DevOps engineer must update the script to ensure that data is not corrupted during transmission. The script must use MD5 checksums to verify data integrity before the on-premises data is deleted.

Which solutions for the script will meet these requirements ' ? (Select TWO.)

Options:

Check the returned response for the Versioned Compare the returned Versioned against the MD5 checksum.

Include the MD5 checksum within the Content-MD5 parameter. Check the operation call ' s return status to find out if an error was returned.

Include the checksum digest within the tagging parameter as a URL query parameter.

Check the returned response for the ETag. Compare the returned ETag against the MD5 checksum.

Include the checksum digest within the Metadata parameter as a name-value pair After upload use the S3 HeadObject operation to retrieve metadata from the object.

Question 4

A company discovers that its production environment and disaster recovery (DR) environment are deployed to the same AWS Region. All the production applications run on Amazon EC2 instances and are deployed by AWS CloudFormation. The applications use an Amazon FSx for NetApp ONTAP volume for application storage. No application data resides on the EC2 instances. A DevOps engineer copies the required AMIs to a new DR Region. The DevOps engineer also updates the CloudFormation code to accept a Region as a parameter. The storage needs to have an RPO of 10 minutes in the DR Region. Which solution will meet these requirements?

Options:

Create an Amazon S3 bucket in both Regions. Configure S3 Cross-Region Replication (CRR) for the S3 buckets. Create a scheduled AWS Lambda function to copy any new content from the FSx for ONTAP volume to the S3 bucket in the production Region.

Use AWS Backup to create a backup vault and a custom backup plan that has a 10-minute frequency. Specify the DR Region as the target Region. Assign the EC2 instances in the production Region to the backup plan.

Create an AWS Lambda function to create snapshots of the instance store volumes that are attached to the EC2 instances. Configure the Lambda function to copy the snapshots to the DR Region and to remove the previous copies. Create an Amazon EventBridge scheduled rule that invokes the Lambda function every 10 minutes.

Create an FSx for ONTAP instance in the DR Region. Configure a 5-minute schedule for a volume-level NetApp SnapMirror to replicate the volume from the production Region to the DR Region.

Question 5

A company has a single developer writing code for an automated deployment pipeline. The developer is storing source code in an Amazon S3 bucket for each project. The company wants to add more developers to the team but is concerned about code conflicts and lost work The company also wants to build a test environment to deploy newer versions of code for testing and allow developers to automatically deploy to both environments when code is changed in the repository.

What is the MOST efficient way to meet these requirements?

Options:

Create an AWS CodeCommit repository tor each project, use the mam branch for production code: and create a testing branch for code deployed to testing Use feature branches to develop new features and pull requests to merge code to testing and main branches.

Create another S3 bucket for each project for testing code, and use an AWS Lambda function to promote code changes between testing and production buckets Enable versioning on all buckets to prevent code conflicts.

Create an AWS CodeCommit repository for each project, and use the main branch for production and test code with different deployment pipelines for each environment Use feature branches to develop new features.

Enable versioning and branching on each S3 bucket, use the main branch for production code, and create a testing branch for code deployed to testing. Have developers use each branch for developing in each environment.

Question 6

A company has a stateless web application that is deployed on Amazon EC2 instances. The EC2 instances are in a target group behind an Application Load Balancer (ALB). Amazon Route 53 manages the application domain.

The company updates the application UI and develops a beta version of the application. The company wants to test the beta version on 10% of its traffic.

Which solution will meet these requirements with the LEAST number of configuration changes?

Options:

Deploy the beta version to new EC2 instances in a new target group. Associate the new target group with a new ALB. Update the existing Route 53 record to use a weighted routing policy. Add a new Route 53 record that points to the new ALB with the same routing policy. Assign a weight of 90 to the existing record. Assign a weight of 10 to the new record.

Deploy the beta version to new EC2 instances in a new target group. Associate the new target group with the same ALB listener rule. Assign a weight of 90 to the existing target group. Assign a weight of 10 to the new target group.

Refactor the application to implement a feature flag for the beta version by using AWS AppConfig. Use the feature flag to enable the beta version for 10% of the EC2 instances.

Containerize and deploy the application on Amazon Elastic Container Service (Amazon ECS). Use AWS CodeDeploy to deploy the beta version by using the CodeDeployDefault.ECSCanary10Percent15Minutes deployment configuration.

Question 7

A DevOps engineer is working on a project that is hosted on Amazon Linux and has failed a security review. The DevOps manager has been asked to review the company buildspec. yaml die for an AWS CodeBuild project and provide recommendations. The buildspec. yaml file is configured as follows:

What changes should be recommended to comply with AWS security best practices? (Select THREE.)

Options:

Add a post-build command to remove the temporary files from the container before termination to ensure they cannot be seen by other CodeBuild users.

Update the CodeBuild project role with the necessary permissions and then remove the AWS credentials from the environment variable.

Store the db_password as a SecureString value in AWS Systems Manager Parameter Store and then remove the db_password from the environment variables.

Move the environment variables to the ' db.-deploy-bucket ‘Amazon S3 bucket, add a prebuild stage to download then export the variables.

Use AWS Systems Manager run command versus sec and ssh commands directly to the instance.

Question 8

A company has an AWS CodeDeploy application. The application has a deployment group that uses a single tag group to identify instances for the deployment of ApplicationA. The single tag group configuration identifies instances that have Environment=Production and Name=ApplicattonA tags for the deployment of ApplicationA.

The company launches an additional Amazon EC2 instance with Department=Marketing Environment^Production. and Name=ApplicationB tags. On the next CodeDeploy deployment of ApplicationA. the additional instance has ApplicationA installed on it. A DevOps engineer needs to configure the existing deployment group to prevent ApplicationA from being installed on the additional instance

Which solution will meet these requirements?

Options:

Change the current single tag group to include only the Environment=Production tag Add another single tag group that includes only the Name=ApplicationA tag.

Change the current single tag group to include the Department=Marketmg Environment=Production and Name=ApplicationAtags

Add another single tag group that includes only the Department=Marketing tag. Keep the Environment=Production and Name=ApplicationA tags with the current single tag group

Change the current single tag group to include only the Environment=Production tag Add another single tag group that includes only the Department=Marketing tag

Question 9

A company uses an Amazon API Gateway regional REST API to host its application API. The REST API has a custom domain. The REST API ' s default endpoint is deactivated.

The company ' s internal teams consume the API. The company wants to use mutual TLS between the API and the internal teams as an additional layer of authentication.

Which combination of steps will meet these requirements? (Select TWO.)

Options:

Use AWS Certificate Manager (ACM) to create a private certificate authority (CA). Provision a client certificate that is signed by the private CA.

Provision a client certificate that is signed by a public certificate authority (CA). Import the certificate into AWS Certificate Manager (ACM).

Upload the provisioned client certificate to an Amazon S3 bucket. Configure the API Gateway mutual TLS to use the client certificate that is stored in the S3 bucket as the trust store.

Upload the provisioned client certificate private key to an Amazon S3 bucket. Configure the API Gateway mutual TLS to use the private key that is stored in the S3 bucket as the trust store.

Upload the root private certificate authority (CA) certificate to an Amazon S3 bucket. Configure the API Gateway mutual TLS to use the private CA certificate that is stored in the S3 bucket as the trust store.

Question 10

A company runs an application on Amazon EKS. The company needs comprehensive logging for control plane and nodes, analyze API requests, and monitor container performance with minimal operational overhead.

Which solution meets these requirements?

Options:

Enable CloudTrail for control plane logging; deploy Logstash as a ReplicaSet on nodes; use OpenSearch to store and analyze logs.

Enable control plane logging for EKS and send logs to CloudWatch; use CloudWatch Container Insights for node and container logs; use CloudWatch Logs Insights to query logs.

Enable API server control plane logging and send to S3; deploy Kubernetes Event Exporter on nodes; send logs to S3; use Athena and QuickSight for analysis.

Use AWS Distro for OpenTelemetry; stream logs to Firehose; analyze data in Redshift.

Question 11

A company’s web app publishes JSON logs with transaction status to CloudWatch Logs. The company wants a dashboard showing the number of successful transactions with the least operational overhead.

Which solution meets this?

Options:

Create an OpenSearch cluster and subscription filter to send logs; create OpenSearch dashboard with queries for success.

Create a CloudWatch subscription filter with Lambda to parse logs and publish custom metrics; create CloudWatch dashboard with metric graph.

Create a CloudWatch metric filter on the log group with a pattern matching success; create CloudWatch dashboard with metric graph.

Create a Kinesis data stream subscribed to the log group; filter logs by success; send to Lambda; Lambda publishes custom metrics; dashboard uses metric graph.

Question 12

A company ' s application teams use AWS CodeCommit repositories for their applications. The application teams have repositories in multiple AWS

accounts. All accounts are in an organization in AWS Organizations.

Each application team uses AWS IAM Identity Center (AWS Single Sign-On) configured with an external IdP to assume a developer IAM role. The developer role allows the application teams to use Git to work with the code in the repositories.

A security audit reveals that the application teams can modify the main branch in any repository. A DevOps engineer must implement a solution that

allows the application teams to modify the main branch of only the repositories that they manage.

Which combination of steps will meet these requirements? (Select THREE.)

Options:

Update the SAML assertion to pass the user ' s team name. Update the IAM role ' s trust policy to add an access-team session tag that has the team name.

Create an approval rule template for each team in the Organizations management account. Associate the template with all the repositories. Add the developer role ARN as an approver.

Create an approval rule template for each account. Associate the template with all repositories. Add the " aws:ResourceTag/access-team " : " $ ;{aws:PrincipaITag/access-team} " condition to the approval rule template.

For each CodeCommit repository, add an access-team tag that has the value set to the name of the associated team.

Attach an SCP to the accounts. Include the following statement:

Create an IAM permissions boundary in each account. Include the following statement:

Answer:

A, D, F

Explanation:

Short Explanation: To meet the requirements, the DevOps engineer should update the SAML assertion to pass the user’s team name, update the IAM role’s trust policy to add an access-team session tag that has the team name, create an IAM permissions boundary in each account, and for each CodeCommit repository, add an access-team tag that has the value set to the name of the associated team.

Updating the SAML assertion to pass the user’s team name allows the DevOps engineer to use IAM tags to identify which team a user belongs to. This can help enforce fine-grained access control based on the user’s team membership1.

Updating the IAM role’s trust policy to add an access-team session tag that has the team name allows the DevOps engineer to use IAM condition keys to restrict access based on the session tag value2. For example, the DevOps engineer can use the aws:PrincipalTag condition key to match the access-team tag of the user with the access-team tag of the repository3.

Creating an IAM permissions boundary in each account allows the DevOps engineer to set the maximum permissions that an identity-based policy can grant to an IAM entity. An entity’s permissions boundary allows it to perform only the actions that are allowed by both its identity-based policies and its permissions boundaries4. For example, the DevOps engineer can use a permissions boundary policy to limit the actions that a user can perform on CodeCommit repositories based on their access-team tag5.

For each CodeCommit repository, adding an access-team tag that has the value set to the name of the associated team allows the DevOps engineer to use resource tags to identify which team manages a repository. This can help enforce fine-grained access control based on the resource tag value6.

The other options are incorrect because:

Creating an approval rule template for each team in the Organizations management account is not a valid option, as approval rule templates are not supported by AWS Organizations. Approval rule templates are specific to CodeCommit and can only be associated with one or more repositories in the same AWS Region where they are created7.

Creating an approval rule template for each account is not a valid option, as approval rule templates are not designed to restrict access to modify branches. Approval rule templates are designed to require approvals from specified users or groups before merging pull requests8.

Attaching an SCP to the accounts is not a valid option, as SCPs are not designed to restrict access based on tags. SCPs are designed to restrict access based on service actions and resources across all users and roles in an organization’s account9.

Question 13

A company runs applications on Windows and Linux Amazon EC2 instances The instances run across multiple Availability Zones In an AWS Region. The company uses Auto Scaling groups for each application.

The company needs a durable storage solution for the instances. The solution must use SMB for Windows and must use NFS for Linux. The solution must also have sub-millisecond latencies. All instances will read and write the data.

Which combination of steps will meet these requirements? (Select THREE.)

Options:

Create an Amazon Elastic File System (Amazon EFS) file system that has targets in multiple Availability Zones

Create an Amazon FSx for NetApp ONTAP Multi-AZ file system.

Create a General Purpose SSD (gp3) Amazon Elastic Block Store (Amazon EBS) volume to use for shared storage.

Update the user data for each application ' s launch template to mount the file system

Perform an instance refresh on each Auto Scaling group.

Update the EC2 instances for each application to mount the file system when new instances are launched

Question 14

A company uses Amazon RDS for all databases in Its AWS accounts The company uses AWS Control Tower to build a landing zone that has an audit and logging account All databases must be encrypted at rest for compliance reasons. The company ' s security engineer needs to receive notification about any noncompliant databases that are in the company ' s accounts

Which solution will meet these requirements with the MOST operational efficiency?

Options:

Use AWS Control Tower to activate the optional detective control (guardrail) to determine whether the RDS storage is encrypted Create an Amazon Simple Notification Service (Amazon SNS) topic in the company ' s audit account. Create an Amazon EventBridge rule to filter noncompliant events from the AWS Control Tower control (guardrail) to notify the SNS topic. Subscribe the security engineer ' s email address to the SNS topic

Use AWS Cloud Formation StackSets to deploy AWS Lambda functions to every account. Write the Lambda function code to determine whether the RDS storage is encrypted in the account the function is deployed to Send the findings as an Amazon CloudWatch metric to the management account Create an Amazon Simple Notification Service (Amazon SNS) topic. Create a CloudWatch alarm that notifies the SNS topic when metric thresholds are met. Subscribe t

Create a custom AWS Config rule in every account to determine whether the RDS storage is encrypted Create an Amazon Simple Notification Service (Amazon SNS) topic in the audit account Create an Amazon EventBridge rule to filter noncompliant events from the AWS Control Tower control (guardrail) to notify the SNS topic. Subscribe the security engineer ' s email address to the SNS topic

Launch an Amazon EC2 instance. Run an hourly cron job by using the AWS CLI to determine whether the RDS storage is encrypted in each AWS account Store the results in an RDS database. Notify the security engineer by sending email messages from the EC2 instance when noncompliance is detected

Question 15

A company runs several applications in the same AWS account. The applications send logs to Amazon CloudWatch.

A data analytics team needs to collect performance metrics and custom metrics from the applications. The analytics team needs to transform the metrics data before storing the data in an Amazon S3 bucket. The analytics team must automatically collect any new metrics that are added to the CloudWatch namespace.

Which solution will meet these requirements with the LEAST operational overhead?

Options:

Configure a CloudWatch metric stream to include metrics from the application and the CloudWatch namespace. Configure the metric stream to deliver the metrics to an Amazon Data Firehose delivery stream. Configure the Firehose delivery stream to invoke an AWS Lambda function to transform the data. Configure the delivery stream to send the transformed data to the S3 bucket.

Configure a CloudWatch metrics stream to include all the metrics and to deliver the metrics to an Amazon Data Firehose delivery stream. Configure the Firehose delivery stream to invoke an AWS Lambda function to transform the data. Configure the delivery stream to send the transformed data to the S3 bucket.

Configure metric filters for the CloudWatch logs to create custom metrics. Configure a CloudWatch metric stream to deliver the application metrics to the S3 bucket.

Configure subscription filters on the application log groups to target an Amazon Data Firehose delivery stream. Configure the Firehose delivery stream to invoke an AWS Lambda function to transform the data. Configure the delivery stream to send the transformed data to the S3 bucket.

Question 16

A DevOps team manages an API running on-premises that serves as a backend for an Amazon API Gateway endpoint. Customers have been complaining about high response latencies, which the development team has verified using the API Gateway latency metrics in Amazon CloudWatch. To identify the cause, the team needs to collect relevant data without introducing additional latency.

Which actions should be taken to accomplish this? (Choose two.)

Options:

Install the CloudWatch agent server side and configure the agent to upload relevant logs to CloudWatch.

Enable AWS X-Ray tracing in API Gateway, modify the application to capture request segments, and upload those segments to X-Ray during each request.

Enable AWS X-Ray tracing in API Gateway, modify the application to capture request segments, and use the X-Ray daemon to upload segments to X-Ray.

Modify the on-premises application to send log information back to API Gateway with each request.

Modify the on-premises application to calculate and upload statistical data relevant to the API service requests to CloudWatch metrics.

Question 17

A company has configured Amazon RDS storage autoscaling for its RDS DB instances. A DevOps team needs to visualize the autoscaling events on an Amazon CloudWatch dashboard. Which solution will meet this requirement?

Options:

Create an Amazon EventBridge rule that reacts to RDS storage autoscaling events from RDS events. Create an AWS Lambda function that publishes a CloudWatch custom metric. Configure the EventBridge rule to invoke the Lambda function. Visualize the custom metric by using the CloudWatch dashboard.

Create a trail by using AWS CloudTrail with management events configured. Configure the trail to send the management events to Amazon CloudWatch Logs. Create a metric filter in CloudWatch Logs to match the RDS storage autoscaling events. Visualize the metric filter by using the CloudWatch dashboard.

Create an Amazon EventBridge rule that reacts to RDS storage autoscaling events (rom the RDS events. Create a CloudWatch alarm. Configure the EventBridge rule to change the status of the CloudWatch alarm. Visualize the alarm status by using the CloudWatch dashboard.

Create a trail by using AWS CloudTrail with data events configured. Configure the trail to send the data events to Amazon CloudWatch Logs. Create a metric filter in CloudWatch Logs to match the RDS storage autoscaling events. Visualize the metric filter by using the CloudWatch dashboard.

Question 18

A company wants to run a containerized application on an Amazon Elastic Kubernetes Service (Amazon EKS) cluster that has private access enabled. The company needs to create a pipeline in AWS CodePipeline to deploy the application to the EKS cluster.

Which solution will meet this requirement?

Options:

Create a pipeline in CodePipeline. Configure an AWS CodeBuild step to deploy the application to the target EKS cluster. Use AWS Secrets Manager to store a kubeconfig file to authenticate into the cluster.

Create a pipeline in CodePipeline. Add a deploy stage action to the EKS cluster. Use AWS Secrets Manager to store a kubeconfig file to authenticate into the cluster.

Create a pipeline in CodePipeline. Configure an AWS CodeBuild step to deploy the application to the target EKS cluster. Use AWS Secrets Manager to store the aws-auth ConfigMap to authenticate into the cluster.

Create a pipeline in CodePipeline. Add a deploy stage action to the EKS cluster. Use the Amazon EKS cluster access management (CAM) API with the CodePipeline service role as an access entry.

Question 19

A production account has a requirement that any Amazon EC2 instance that has been logged in to manually must be terminated within 24 hours. All applications in the production account are using Auto Scaling groups with the Amazon CloudWatch Logs agent configured.

How can this process be automated?

Options:

Create a CloudWatch Logs subscription to an AWS Step Functions application. Configure an AWS Lambda function to add a tag to the EC2 instance that produced the login event and mark the instance to be decommissioned. Create an Amazon EventBridge rule to invoke a second Lambda function once a day that will terminate all instances with this tag.

Create an Amazon CloudWatch alarm that will be invoked by the login event. Send the notification to an Amazon Simple Notification Service (Amazon SNS) topic that the operations team is subscribed to, and have them terminate the EC2 instance within 24 hours.

Create an Amazon CloudWatch alarm that will be invoked by the login event. Configure the alarm to send to an Amazon Simple Queue Service (Amazon SQS) queue. Use a group of worker instances to process messages from the queue, which then schedules an Amazon EventBridge rule to be invoked.

Create a CloudWatch Logs subscription to an AWS Lambda function. Configure the function to add a tag to the EC2 instance that produced the login event and mark the instance to be decommissioned. Create an Amazon EventBridge rule to invoke a daily Lambda function that terminates all instances with this tag.

Question 20

A company has an AWS Control Tower landing zone. The company ' s DevOps team creates a workload OU. A development OU and a production OU are nested under the workload OU. The company grants users full access to the company ' s AWS accounts to deploy applications.

The DevOps team needs to allow only a specific management 1AM role to manage the 1AM roles and policies of any AWS accounts In only the production OU.

Which combination of steps will meet these requirements? {Select TWO.)

Options:

Create an SCP that denies full access with a condition to exclude the management 1AM role for the organization root.

Ensure that the FullAWSAccess SCP is applied at the organization root

Create an SCP that allows IAM related actions Attach the SCP to the development OU

Create an SCP that denies IAM related actions with a condition to exclude the management I AM role Attach the SCP to the workload OU

Create an SCP that denies IAM related actions with a condition to exclude the management 1AM role Attach the SCP to the production OU

Question 21

A development team uses AWS CodeCommit for version control for applications. The development team uses AWS CodePipeline, AWS CodeBuild. and AWS CodeDeploy for CI/CD infrastructure. In CodeCommit, the development team recently merged pull requests that did not pass long-running tests in the code base. The development team needed to perform rollbacks to branches in the codebase, resulting in lost time and wasted effort.

A DevOps engineer must automate testing of pull requests in CodeCommit to ensure that reviewers more easily see the results of automated tests as part of the pull request review.

What should the DevOps engineer do to meet this requirement?

Options:

Create an Amazon EventBridge rule that reacts to the pullRequestStatusChanged event. Create an AWS Lambda function that invokes a CodePipeline pipeline with a CodeBuild action that runs the tests for the application. Program the Lambda function to post the CodeBuild badge as a comment on the pull request so that developers will see the badge in their code review.

Create an Amazon EventBridge rule that reacts to the pullRequestCreated event. Create an AWS Lambda function that invokes a CodePipeline pipeline with a CodeBuild action that runs the tests for the application. Program the Lambda function to post the CodeBuild test results as a comment on the pull request when the test results are complete.

Create an Amazon EventBridge rule that reacts to pullRequestCreated and pullRequestSourceBranchUpdated events. Create an AWS Lambda function that invokes a CodePipeline pipeline with a CodeBuild action that runs the tests for the application. Program the Lambda function to post the CodeBuild badge as a comment on the pull request so that developers will see the badge in their code review.

Create an Amazon EventBridge rule that reacts to the pullRequestStatusChanged event. Create an AWS Lambda function that invokes a CodePipeline pipeline with a CodeBuild action that runs the tests for the application. Program the Lambda function to post the CodeBuild test results as a comment on the pull request when the test results are complete.

Question 22

A Company uses AWS CodeCommit for source code control. Developers apply their changes to various feature branches and create pull requests to move those changes to the main branch when the changes are ready for production.

The developers should not be able to push changes directly to the main branch. The company applied the AWSCodeCommitPowerUser managed policy to the developers’ IAM role, and now these developers can push changes to the main branch directly on every repository in the AWS account.

What should the company do to restrict the developers’ ability to push changes to the main branch directly?

Options:

Create an additional policy to include a Deny rule for the GitPush and PutFile actions. Include a restriction for the specific restriction for the specific repositories in the policy repositories in the policy statement with a condition that references the main branch.A Create an additional policy to include a Deny rule for the GitPush and PutFile actions Include a restriction for the specific repositories in the policy statement with a con

Remove the IAM policy, and add an AWSCodeCommitReadOnly managed policy. Add an Allow rule for the GitPush and PutFile actions for the specific repositories in the policy statement with a condition that references the mam branch.

Modify the IAM policy Include a Deny rule for the GitPush and PutFile actions for the specific repositories in the policy statement with a condition that references the main branch.

Create an additional policy to include an Allow rule for the GitPush and PutFile actions. Include a restriction for the specific repositories in the policy statement with a condition that references the feature branches.

Question 23

A company runs a workload on Amazon EC2 instances. The company needs a control that requires the use of Instance Metadata Service Version 2 (IMDSv2) on all EC2 instances in the AWS account. If an EC2 instance does not prevent the use of Instance Metadata Service Version 1 (IMDSv1), the EC2 instance must be terminated.

Which solution will meet these requirements?

Options:

Set up AWS Config in the account. Use a managed rule to check EC2 instances. Configure the rule to remediate the findings by using AWS Systems Manager Automation to terminate the instance.

Create a permissions boundary that prevents the ec2:Runlnstance action if the ec2:MetadataHttpTokens condition key is not set to a value of required. Attach the permissions boundary to the IAM role that was used to launch the instance.

Set up Amazon Inspector in the account. Configure Amazon Inspector to activate deep inspection for EC2 instances. Create an Amazon EventBridge rule for an Inspector2 finding. Set an AWS Lambda function as the target to terminate the instance.

Create an Amazon EventBridge rule for the EC2 instance launch successful event. Send the event to an AWS Lambda function to inspect the EC2 metadata and to terminate the instance.

Question 24

A company uses an organization in AWS Organizations to manage many AWS accounts. The company has enabled all features for the organization. The company uses AWS CloudFormation StackSets to deploy configurations to the accounts. The company uses AWS Config to monitor an Amazon S3 bucket. The company needs to ensure that all object uploads to the S3 bucket use AWS Key Management Service (AWS KMS) encryption. Which solution will meet these requirements?

Options:

Create an AWS Config conformance pack that includes the s3-bucket-server-side-encryption-enabled rule. Deploy the conformance pack to the accounts. Configure the rule to target an Amazon Simple Notification Service (Amazon SNS) topic.

Create an SCP that includes a deny statement for the s3:createBucket action and a condition statement where s3:x-amz-server-side-encryption is not aws:kms. Attach the SCP to the root of the organization.

Create an AWS CloudFormation stack set to enable an AWS CloudTrail trail to capture S3 data events for the organization. In the stack set, create an Amazon EventBridge rule to match S3 PutObject events that do not use AWS KMS encryption. Configure the rule to target an Amazon Simple Notification Service (Amazon SNS) topic.

Create an SCP that includes a deny statement for the s3:putObject action and a condition where s3:x-amz-server-side-encryption is not aws:kms. Attach the SCP to the root of the organization.

Question 25

A company runs a large number of Amazon EC2 instances across public and private subnets in a VPC. A DevOps engineer needs to monitor the EC2 instances for suspicious activity and block traffic from the instances if suspicious activity is identified.

Which solution will meet these requirements in the MOST operationally efficient way?

Options:

Enable AWS WAF for the account. Configure Amazon GuardDuty and an Amazon EventBridge rule to filter for GuardDuty finding types that relate to EC2 instances. Create an AWS Lambda function that runs in response to the EventBridge rule and updates the VPC network ACLs to block traffic to the affected instance IP addresses.

Configure Amazon GuardDuty to monitor a threat list. Configure an Amazon EventBridge rule for findings based on the list. Create an AWS Lambda function that runs in response to the EventBridge rule and updates the VPC network ACLs to block traffic to the affected instance IP addresses.

Enable Amazon Inspector for the account. Configure an Amazon EventBridge rule to filter for findings that relate to EC2 instances. Create an AWS Lambda function that runs in response to the EventBridge rule and updates the VPC route table to drop traffic to the instance IP addresses.

Enable AWS Firewall Manager for the account and subscribe to AWS Shield Advanced. Configure a Shield Advanced policy that monitors all the EC2 instances in the account. Enable a remediation action to update the network ACL to block traffic to the host.

Question 26

A company has a data ingestion application that runs across multiple AWS accounts. The accounts are in an organization in AWS Organizations. The company needs to monitor the application and consolidate access to the application. Currently the company is running the application on Amazon EC2 instances from several Auto Scaling groups. The EC2 instances have no access to the internet because the data is sensitive Engineers have deployed the necessary VPC endpoints. The EC2 instances run a custom AMI that is built specifically tor the application.

To maintain and troubleshoot the application, system administrators need the ability to log in to the EC2 instances. This access must be automated and controlled centrally. The company ' s security team must receive a notification whenever the instances are accessed.

Which solution will meet these requirements?

Options:

Create an Amazon EventBridge rule to send notifications to the security team whenever a user logs in to an EC2 instance Use EC2 Instance Connect to log in to the instances. Deploy Auto Scaling groups by using AWS Cloud Formation Use the cfn-init helper script to deploy appropriate VPC routes for external access Rebuild the custom AMI so that the custom AMI includes AWS Systems Manager Agent.

Deploy a NAT gateway and a bastion host that has internet access Create a security group that allows incoming traffic on all the EC2 instances from the bastion host Install AWS Systems Manager Agent on all the EC2 instances Use Auto Scaling group lifecycle hooks for monitoring and auditing access Use Systems Manager Session Manager to log in to the instances Send logs to a log group m Amazon CloudWatch Logs. Export data to Amazon S3 for aud

Use EC2 Image Builder to rebuild the custom AMI Include the most recent version of AWS Systems Manager Agent in the Image Configure the Auto Scaling group to attach the AmazonSSMManagedinstanceCore role to all the EC2 instances Use Systems Manager Session Manager to log in to the instances Enable logging of session details to Amazon S3 Create an S3 event notification for new file uploads to send a message to the security team through an Ama

Use AWS Systems Manager Automation to build Systems Manager Agent into the custom AMI Configure AWS Configure to attach an SCP to the root organization account to allow the EC2 instances to connect to Systems Manager Use Systems Manager Session Manager to log in to the instances Enable logging of session details to Amazon S3 Create an S3 event notification for new file uploads to send a message to the security team through an Amazon Simple

Question 27

A company uses an organization in AWS Organizations to manage multiple AWS accounts in multiple OUs. The company is planning to implement a comprehensive account management solution and wants to ensure consistent baseline configurations.

A DevOps engineer is developing a solution to automatically deploy AWS CloudFormation templates to new AWS accounts. The specific CloudFormation template that the solution deploys must vary based on which organizational unit (OU) each new account is placed in.

Which solution will meet these requirements with the LEAST operational overhead?

Options:

Enable AWS Control Tower. Use Customizations for AWS Control Tower (CfCT) to deploy each CloudFormation template from a centralized account. Create a GitHub repository to store the entire configuration package, including the CloudFormation templates and a manifest file that maps each CloudFormation template to its corresponding OU.

Enable AWS Control Tower. Build a pipeline in AWS CodePipeline to deploy the CloudFormation deployment from a centralized account. Create a GitHub repository to store the entire configuration package, including the CloudFormation templates and a manifest file that maps each CloudFormation template to its corresponding OU. After the code is updated in GitHub, initiate the pipeline and deploy the CloudFormation templates to the new AWS accoun

Store the CloudFormation templates in an Amazon S3 bucket by using a separate prefix for each AWS account. Create an AWS Lambda function that deploys a specific CloudFormation template to each new AWS account based on the prefix path that indicates where each template is located in the S3 bucket.

Store CloudFormation templates in an Amazon S3 bucket. Create an AWS Lambda function that deploys a specific CloudFormation template to the new AWS accounts based on the OU each new account is in. Create an Amazon EventBridge rule that matches " eventName " : " CreateAccountResult " and " state " : " SUCCEEDED. " Set the Lambda function as the target of the EventBridge rule.

Question 28

A company uses AWS Organizations to manage its AWS accounts. The organization root has a child OU that is named Department. The Department OU has a child OU that is named Engineering. The default FullAWSAccess policy is attached to the root, the Department OU. and the Engineering OU.

The company has many AWS accounts in the Engineering OU. Each account has an administrative 1AM role with the AdmmistratorAccess 1AM policy attached. The default FullAWSAccessPolicy is also attached to each account.

A DevOps engineer plans to remove the FullAWSAccess policy from the Department OU The DevOps engineer will replace the policy with a policy that contains an Allow statement for all Amazon EC2 API operations.

What will happen to the permissions of the administrative 1AM roles as a result of this change ' ?

Options:

All API actions on all resources will be allowed

All API actions on EC2 resources will be allowed. All other API actions will be denied.

All API actions on all resources will be denied

All API actions on EC2 resources will be denied. All other API actions will be allowed.

Question 29

A company uses Amazon API Gateway and AWS Lambda functions to implement an API. The company uses a pipeline in AWS CodePipeline to build and deploy the API. The pipeline contains a source stage, build stage, and deployment stage.

The company deploys the API without performing smoke tests. Soon after the deployment, the company observes multiple issues with the API. A security audit finds security vulnerabilities in the production code.

The company wants to prevent these issues from happening in the future.

Which combination of steps will meet this requirement? (Select TWO.)

Options:

Create a smoke test script that returns an error code if the API code fails the test. Add an action in the deployment stage to run the smoke test script after deployment. Configure the deployment stage for automatic rollback.

Add an action in the build stage that uses Amazon Inspector to scan the Lambda function code after the code is built. Configure the build stage to fail if the scan returns any security findings. D. Add an action in the build stage to run an Amazon CodeGuru code scan after the code is built. Configure the build stage to fail if the scan returns any security findings.

Add an action in the deployment stage to run an Amazon CodeGuru code scan after deployment. Configure the deployment stage to fail if the scan returns any security findings.

Question 30

An ecommerce company has chosen AWS to host its new platform. The company ' s DevOps team has started building an AWS Control Tower landing zone. The DevOps team has set the identity store within AWS IAM Identity Center (AWS Single Sign-On) to external identity provider (IdP) and has configured SAML 2.0.

The DevOps team wants a robust permission model that applies the principle of least privilege. The model must allow the team to build and manage only the team ' s own resources.

Which combination of steps will meet these requirements? (Choose three.)

Options:

Create IAM policies that include the required permissions. Include the aws:PrincipalTag condition key.

Create permission sets. Attach an inline policy that includes the required permissions and uses the aws:PrincipalTag condition key to scope the permissions.

Create a group in the IdP. Place users in the group. Assign the group to accounts and the permission sets in IAM Identity Center.

Create a group in the IdP. Place users in the group. Assign the group to OUs and IAM policies.

Enable attributes for access control in IAM Identity Center. Apply tags to users. Map the tags as key-value pairs.

Enable attributes for access control in IAM Identity Center. Map attributes from the IdP as key-value pairs.

Question 31

A DevOps engineer at a company is migrating a statistical analysis application to AWS. The application allows data scientists to model demographic data by using RStudio. The DevOps engineer will host modeling environments for the application in Amazon Elastic Kubernetes Service (Amazon EKS). The DevOps engineer will use Amazon FSx for Lustre and Amazon S3 to provide backend storage.

The DevOps engineer must design and build an infrastructure as code (IaC) solution to manage the underlying resource configurations. The company uses an organization in AWS Organizations to manage multiple AWS accounts. The DevOps engineer must design a highly portable solution that can facilitate sharing across AWS member accounts.

Which solution will meet these requirements with the LEAST administrative overhead?

Options:

Use the AWS Cloud Development Kit (AWS CDK) to deploy and manage the infrastructure. Store the CDK source code in the project’s version control system. Use AWS CodePipeline to automate the deployment and stack updates in production.

Use AWS CloudFormation to manage the infrastructure. Use CloudFormation modules to manage the required services. Publish the services to the CloudFormation registry. Use AWS CodePipeline to automate the deployment and stack updates in production.

Use AWS Serverless Application Model (AWS SAM) to manage the infrastructure. Create an AWS Service Catalog portfolio for the project. Build an AWS SAM template that deploys each required service as a product within the catalog. Share the portfolio and grant access to the portfolio for member accounts.

Use AWS CloudFormation to manage the infrastructure. Use CloudFormation nested stacks to manage the required services. Store the nested stacks in the project’s version control system. Use AWS CodePipeline to automate the deployment and stack updates in production.

Question 32

A company manages multiple AWS accounts in AWS Organizations. The company ' s security policy states that AWS account root user credentials for member accounts must not be used. The company monitors access to the root user credentials.

A recent alert shows that the root user in a member account launched an Amazon EC2 instance. A DevOps engineer must create an SCP at the organization ' s root level that will prevent the root user in member accounts from making any AWS service API calls.

Which SCP will meet these requirements?

Options:

Option A

Option B

Option C

Option D

Question 33

A company is running an application on Amazon EC2 instances in an Auto Scaling group. Recently an issue occurred that prevented EC2 instances from launching successfully and it took several hours for the support team to discover the issue. The support team wants to be notified by email whenever an EC2 instance does not start successfully.

Which action will accomplish this?

Options:

Add a health check to the Auto Scaling group to invoke an AWS Lambda function whenever an instance status is impaired.

Configure the Auto Scaling group to send a notification to an Amazon SNS topic whenever a failed instance launch occurs.

Create an Amazon CloudWatch alarm that invokes an AWS Lambda function when a failed Attachinstances Auto Scaling API call is made.

Create a status check alarm on Amazon EC2 to send a notification to an Amazon SNS topic whenever a status check fail occurs.

Question 34

A company has an organization in AWS Organizations for its multi-account environment. A DevOps engineer is developing an AWS CodeArtifact based strategy for application package management across the organization. Each application team at the company has its own account in the organization. Each application team also has limited access to a centralized shared services account.

Each application team needs full access to download, publish, and grant access to its own packages. Some common library packages that the application teams use must also be shared with the entire organization.

Which combination of steps will meet these requirements with the LEAST administrative overhead? (Select THREE.)

Options:

Create a domain in each application team ' s account. Grant each application team ' s account lull read access and write access to the application team ' s domain

Create a domain in the shared services account Grant the organization read access and CreateRepository access.

Create a repository in each application team ' s account. Grant each application team ' s account lull read access and write access to its own repository.

Create a repository in the shared services account. Grant the organization read access to the repository in the shared services account. Set the repository as the upstream repository in each application team ' s repository.

For teams that require shared packages, create resource-based policies that allow read access to the repository from other application teams ' accounts.

Set the other application teams ' repositories as upstream repositories.

Answer:

B, D, E

Explanation:

 Step 1: Creating a Centralized Domain in the Shared Services Account

To manage application package dependencies across multiple accounts, the most efficient solution is to create a centralized domain in the shared services account. This allows all application teams to access and manage package repositories within the same domain, ensuring consistency and centralization.

Action: Create a domain in the shared services account.

Why: A single, centralized domain reduces the need for redundant management in each application team ' s account.

[Reference: AWS documentation on AWS CodeArtifact domains and repositories., This corresponds to Option B: Create a domain in the shared services account. Grant the organization read access and CreateRepository access.,  Step 2: Sharing Repositories Across Teams with Upstream ConfigurationsTo share common library packages across the organization, each application team's repository can point to the shared services repository as an upstream repository. This enables teams to access shared packages without managing them individually in each team's account., Action: Create a repository in the shared services account and set it as the upstream repository for each application team., Why: Upstream repositories allow package sharing while maintaining individual team repositories for managing their own packages., Reference: AWS documentation on Upstream repositories in CodeArtifact., This corresponds to Option D: Create a repository in the shared services account. Grant the organization read access to the repository in the shared services account. Set the repository as the upstream repository in each application team's repository.,  Step 3: Using Resource-Based Policies for Cross-Account AccessFor teams that need to share their packages with other application teams, resource-based policies can be applied to grant the necessary permissions. These policies allow cross-account access without having to manage permissions at the individual account level., Action: Create resource-based policies that allow read access to the repositories across application teams., Why: This simplifies management by centralizing permissions in the shared services account while allowing cross-team collaboration., Reference: AWS documentation on CodeArtifact resource-based policies., This corresponds to Option E: For teams that require shared packages, create resource-based policies that allow read access to the repository from other application teams' accounts., , , , ]

Question 35

A company has a file-reading application that saves files to a database running on Amazon EC2 instances. Regulations require daily file deletions from EC2 instances and deletion of database records older than 60 days. Database record deletion must occur after file deletion. The company needs email notifications for any deletion script failures.

Which solution will meet these requirements with the LEAST development effort?

Options:

Use AWS Systems Manager State Manager to automatically invoke an Automation document at the specified time daily. Configure the Automation document to run deletion scripts sequentially via run command. Create an EventBridge rule to send failure notifications to Amazon SNS.

Use AWS Systems Manager State Manager to automatically invoke an Automation document at the specified time daily. Configure the Automation document to run deletion scripts sequentially. Add a conditional check for errors as the last step and send failure notifications via Amazon SES.

Create an EventBridge rule to invoke a Lambda function at the specified time. Configure the Lambda function to run deletion scripts sequentially and send failure notifications via SNS.

Create an EventBridge rule to invoke a Lambda function at the specified time. Configure the Lambda function to run deletion scripts sequentially and send failure notifications via SES.

Question 36

An ecommerce company hosts a web application on Amazon EC2 instances that are in an Auto Scaling group. The company deploys the application across multiple Availability Zones.

Application users are reporting intermittent performance issues with the application.

The company enables basic Amazon CloudWatch monitoring for the EC2 instances. The company identifies and implements a fix for the performance issues. After resolving the issues, the company wants to implement a monitoring solution that will quickly alert the company about future performance issues.

Which solution will meet this requirement?

Options:

Enable detailed monitoring for the EC2 instances. Create custom CloudWatch metrics for application-specific performance indicators. Set up CloudWatch alarms based on the custom metrics. Use CloudWatch Logs Insights to analyze application logs for error patterns.

Use AWS X-Ray to implement distributed tracing. Integrate X-Ray with Amazon CloudWatch RUM. Use Amazon EventBridge to trigger automatic scaling actions based on custom events.

Use Amazon CloudFront to deliver the application. Use AWS CloudTrail to monitor API calls. Use AWS Trusted Advisor to generate recommendations to optimize performance. Use Amazon GuardDuty to detect potential performance issues.

Enable VPC Flow Logs. Use Amazon Data Firehose to stream flow logs to Amazon S3. Use Amazon Athena to analyze the logs and to send alerts to the company.

Question 37

A company uses AWS Organizations to manage multiple AWS accounts. The accounts are in an OU that has a policy attached to allow all actions. The company is migrating several Git repositories to a specified AWS CodeConnections supported Git provider. The Git repositories manage AWS CloudFormation stacks for application infrastructure that the company deploys across multiple AWS Regions. The company wants a DevOps team to integrate CodeConnections into the CloudFormation stacks. The DevOps team must ensure that company staff members can integrate only with the specified Git provider. The deployment process must be highly available across Regions. Which combination of steps will meet these requirements? (Select THREE.)

Options:

Add a new SCP statement to the OU that denies the CodeConnections CreatingConnections action where the provider type is not the specified Git provider.

Add a new SCP statement to the OU that allows the CodeConnections CreatingConnections action where the provider type is the specified Git provider.

Use CodeConnections to configure a single CodeConnections connection to each Git repository.

Use CodeConnections to create a CodeConnections connection from each Region where the company operates to each Git repository.

Use CodeConnections to create a CodeConnections repository link. Update each CloudFormation stack to sync from the Git repository.

For each Git repository, create a pipeline in AWS CodePipeline that has the Git repository set as the source and a CloudFormation deployment stage.

Question 38

A company has multiple AWS accounts. The company uses AWS IAM Identity Center that is integrated with a third-party SAML 2.0 identity provider (IdP) .

The attributes for access control feature is enabled in IAM Identity Center. The attribute mapping list maps the department key from the IdP to the ${path:enterprise.department} attribute. All existing Amazon EC2 instances have a d1 , d2 , or d3 department tag that corresponds to three of the company’s departments.

A DevOps engineer must create policies based on the matching attributes. The policies must grant each user access to only the EC2 instances that are tagged with the user’s respective department name.

Which condition key should the DevOps engineer include in the custom permissions policies to meet these requirements?

Options:

" Condition " : {

" ForAllValues:StringEquals " : {

" aws:TagKeys " : [ " department " ]

}

" Condition " : {

" StringEquals " : {

" aws:PrincipalTag/department " : " ${aws:ResourceTag/department} "

}

" Condition " : {

" StringEquals " : {

" ec2:ResourceTag/department " : " ${aws:PrincipalTag/department} "

}

" Condition " : {

" ForAllValues:StringEquals " : {

" ec2:ResourceTag/department " : [ " d1 " , " d2 " , " d3 " ]

}

Question 39

A software as a service (SaaS) company uses an Amazon Elastic Container Service (Amazon ECS) cluster behind an Application Load Balancer (ALB) to provide real-time analytics services to clients. The company is using AWS CodePipeline and AWS CodeDeploy to set up a blue/green deployment process for the solution.

The company wants the deployment process to automatically shift traffic in equal increments over a specified total deployment time without any manual intervention. The deployment must ensure zero downtime and provide seamless traffic shifting.

Which solution will meet these requirements?

Options:

Set the TrafficRoutingConfig parameter to TimeBasedLinear in the appspec.yaml file of the CodeDeploy application that the company uses to deploy the ECS services. Set values for the linearPercentage parameter and the linearInterval parameter.

Update the TrafficRoutingConfig parameter of the appspec.yaml file of the CodeDeploy application that the company uses to deploy the ECS services to the AllAtOnce type.

Create a deployment group configuration. Set the TrafficRoutingConfig parameter to the TimeBasedCanary type. Configure listener rules on the ALB to forward traffic to the target groups based on specified weights.

Set up a deployment configuration in CodeDeploy. Configure weighted routing on the ALB during deployment.

Question 40

A company is reviewing its 1AM policies. One policy written by the DevOps engineer has been (lagged as too permissive. The policy is used by an AWS Lambda function that issues a stop command to Amazon EC2 instances tagged with Environment: NonProduccion over the weekend. The current policy is:

What changes should the engineer make to achieve a policy ot least permission? (Select THREE.)

Options:

Option A

option B

option C

option D

Option E

Option F

Question 41

A DevOps engineer maintains a web application that is deployed on an Amazon Elastic Container Service (Amazon ECS) service behind an Application Load Balancer (ALB).

Recent updates to the service caused downtime for the application because of issues with the application code. The DevOps engineer needs to design a solution to test updates on a small amount of traffic first before deploying to the rest of the service.

Which solution will meet these requirements?

Options:

Create a new pipeline in AWS CodePipeline. Connect the pipeline to an AWS CodeConnections compatible Git repository. Configure the pipeline with an ECRBuildAndPublish action and an Amazon ECS standard deployment action. Configure the ECS service to use the rolling update deployment type.

Update the ECS service to use AWS CodeDeploy as the deployment controller. Create a second target group for the ALB. Create a CodeDeploy application and deployment group for the application. Use CodeDeploy to deploy updates by using the CodeDeployDefault.ECSCanary10Percent15Minutes deployment configuration.

Create a new AWS CodeBuild project that uses AWS Lambda compute and that includes an IAM role that has permissions to update the ECS task definition. Update the project buildspec file to call the Amazon ECS RegisterTaskDefinition API for deployments. Configure the ECS service to use the rolling update deployment type.

Create a new AWS CodeBuild project. Connect the project to an AWS CodeConnections compatible Git repository. Create a buildspec.yml file in the Git repository that contains commands to call the Amazon ECS UpdateService API. Set a slow start duration of 2 minutes on the ALB target group.

Question 42

A DevOps team manages infrastructure for an application. The application uses long-running processes to process items from an Amazon Simple Queue Service (Amazon SQS) queue. The application is deployed to an Auto Scaling group.

The application recently experienced an issue where items were taking significantly longer to process. The queue exceeded the expected size, which prevented various business processes from functioning properly. The application records all logs to a third-party tool.

The team is currently subscribed to an Amazon Simple Notification Service (Amazon SNS) topic that the team uses for alerts. The team needs to be alerted if the queue exceeds the expected size.

Which solution will meet these requirements with the MOST operational efficiency?

Options:

Create an Amazon CloudWatch metric alarm with a period of 1 hour and a static threshold to alarm if the average of the ApproximateNumberOfMessagesDelayed metric is greater than the expected value. Configure the alarm to notify the SNS topic.

Create an Amazon CloudWatch metric alarm with a period of 1 hour and a static threshold to alarm if the sum of the ApproximateNumberOfMessagesVisible metric is greater than the expected value. Configure the alarm to notify the SNS topic.

Create an AWS Lambda function that retrieves the ApproximateNumberOfMessages SQS queue attribute value and publishes it as a new CloudWatch custom metric. Create an Amazon EventBridge rule that is scheduled to run every 5 minutes and that invokes the Lambda function. Configure a CloudWatch metrics alarm with a period of 1 hour and a static threshold to alarm if the sum of the new custom metric is greater than the expected value.

Create an AWS Lambda function that checks the ApproximateNumberOfMessagesDelayed SQS queue attribute and compares the value to a defined expected size in the function. Create an Amazon EventBridge rule that is scheduled to run every 5 minutes and that invokes the Lambda function. When the ApproximateNumberOfMessagesDelayed SQS queue attribute exceeds the expected size, send a notification the SNS topic.

Answer:

Explanation:

The Amazon SQS service publishes several standard CloudWatch metrics by default, including ApproximateNumberOfMessagesVisible, which represents the number of messages available for retrieval from the queue (i.e., the number of messages waiting to be processed). This is the primary metric to monitor queue backlog and processing delays.

Using ApproximateNumberOfMessagesVisible to monitor the visible messages in the queue gives a direct and near real-time indication of processing delays or backlog.

CloudWatch metrics are automatically collected and available without the need to create custom metrics or Lambda functions, which increases operational efficiency by reducing complexity and maintenance overhead.

Setting a CloudWatch alarm on this metric with a static threshold and a reasonable evaluation period (such as 1 hour) is sufficient to alert the team when the queue grows beyond an expected size.

The alarm can be directly configured to send notifications to an existing SNS topic, maintaining seamless integration with the team’s alerting mechanisms.

The ApproximateNumberOfMessagesDelayed metric refers to messages that are delayed and not available for processing yet due to delay settings, which is not the direct backlog that causes business process delays.

Options C and D introduce unnecessary complexity by requiring Lambda functions and custom metrics or scheduled invocations, which reduce operational efficiency compared to using built-in CloudWatch metrics and alarms.

Reference from AWS Official Documentation and Study Guide:

Amazon SQS Monitoring with CloudWatch Metrics: " Amazon SQS automatically sends metrics to CloudWatch, including ApproximateNumberOfMessagesVisible, which shows the number of messages available for retrieval. " (Source: Amazon SQS Monitoring - AWS Documentation)

Setting CloudWatch Alarms for SQS Queues: " You can create CloudWatch alarms on SQS metrics such as ApproximateNumberOfMessagesVisible to receive notifications when the queue size exceeds a threshold. " (Source: Amazon CloudWatch Alarms - AWS Documentation)

AWS DevOps Engineer Professional Exam Guide: " Efficient alerting for queue backlogs should leverage native CloudWatch metrics to minimize operational overhead. " (Source: Official AWS Certified DevOps Engineer Professional Study Guide)

Question 43

A company hosts applications in its AWS account Each application logs to an individual Amazon CloudWatch log group. The company’s CloudWatch costs for ingestion are increasing

A DevOps engineer needs to Identify which applications are the source of the increased logging costs.

Which solution Will meet these requirements?

Options:

Use CloudWatch metrics to create a custom expression that Identifies the CloudWatch log groups that have the most data being written to them.

Use CloudWatch Logs Insights to create a set of queries for the application log groups to Identify the number of logs written for a period of time

Use AWS Cost Explorer to generate a cost report that details the cost for CloudWatch usage

Use AWS CloudTrail to filter for CreateLogStream events for each application

Answer:

Explanation:

The correct answer is C.

Option A is incorrect because using CloudWatch metrics to create a custom expression that identifies the CloudWatch log groups that have the most data being written to them is not a valid solution. CloudWatch metrics do not provide information about the size or volume of data being ingested by CloudWatch logs. CloudWatch metrics only provide information about the number of events, bytes, and errors that occur within a log group or stream. Moreover, creating a custom expression with CloudWatch metrics would require using the search_web tool, which is not necessary for this use case.

Option B is incorrect because using CloudWatch Logs Insights to create a set of queries for the application log groups to identify the number of logs written for a period of time is not a valid solution. CloudWatch Logs Insights can help analyze and filter log events based on patterns and expressions, but it does not provide information about the cost or billing of CloudWatch logs. CloudWatch Logs Insights also charges based on the amount of data scanned by each query, which could increase the logging costs further.

Option C is correct because using AWS Cost Explorer to generate a cost report that details the cost for CloudWatch usage is a valid solution. AWS Cost Explorer is a tool that helps visualize, understand, and manage AWS costs and usage over time. AWS Cost Explorer can generate custom reports that show the breakdown of costs by service, region, account, tag, or any other dimension. AWS Cost Explorer can also filter and group costs by usage type, which can help identify the specific CloudWatch log groups that are the source of the increased logging costs.

Option D is incorrect because using AWS CloudTrail to filter for CreateLogStream events for each application is not a valid solution. AWS CloudTrail is a service that records API calls and account activity for AWS services, including CloudWatch logs. However, AWS CloudTrail does not provide information about the cost or billing of CloudWatch logs. Filtering for CreateLogStream events would only show when a new log stream was created within a log group, but not how much data was ingested or stored by that log stream.

[References:, CloudWatch Metrics, CloudWatch Logs Insights, AWS Cost Explorer, AWS CloudTrail, , , , , ]

Question 44

A company is developing a new application. The application uses AWS Lambda functions for its compute tier. The company must use a canary deployment for any changes to the Lambda functions. Automated rollback must occur if any failures are reported.

The company’s DevOps team needs to create the infrastructure as code (IaC) and the CI/CD pipeline for this solution.

Which combination of steps will meet these requirements? (Choose three.)

Options:

Create an AWS CloudFormation template for the application. Define each Lambda function in the template by using the AWS::Lambda::Function resource type. In the template, include a version for the Lambda function by using the AWS::Lambda::Version resource type. Declare the CodeSha256 property. Configure an AWS::Lambda::Alias resource that references the latest version of the Lambda function.

Create an AWS Serverless Application Model (AWS SAM) template for the application. Define each Lambda function in the template by using the AWS::Serverless::Function resource type. For each function, include configurations for the AutoPublishAlias property and the DeploymentPreference property. Configure the deployment configuration type to LambdaCanary10Percent10Minutes.

Create an AWS CodeCommit repository. Create an AWS CodePipeline pipeline. Use the CodeCommit repository in a new source stage that starts the pipeline. Create an AWS CodeBuild project to deploy the AWS Serverless Application Model (AWS SAM) template. Upload the template and source code to the CodeCommit repository. In the CodeCommit repository, create a buildspec.yml file that includes the commands to build and deploy the SAM application.

Create an AWS CodeCommit repository. Create an AWS CodePipeline pipeline. Use the CodeCommit repository in a new source stage that starts the pipeline. Create an AWS CodeDeploy deployment group that is configured for canary deployments with a DeploymentPreference type of Canary10Percent10Minutes. Upload the AWS CloudFormation template and source code to the CodeCommit repository. In the CodeCommit repository, create an appspec.yml file that

Create an Amazon CloudWatch composite alarm for all the Lambda functions. Configure an evaluation period and dimensions for Lambda. Configure the alarm to enter the ALARM state if any errors are detected or if there is insufficient data.

Answer:

B, C, F

Explanation:

The requirement is to create the infrastructure as code (IaC) and the CI/CD pipeline for the Lambda application that uses canary deployment and automated rollback. To do this, the DevOps team needs to use the following steps:

Create an AWS Serverless Application Model (AWS SAM) template for the application. AWS SAM is a framework that simplifies the development and deployment of serverless applications on AWS. AWS SAM allows customers to define Lambda functions and other resources in a template by using a simplified syntax. For each Lambda function, the DevOps team can include configurations for the AutoPublishAlias property and the DeploymentPreference property. The AutoPublishAlias property specifies the name of the alias that points to the latest version of the function. The DeploymentPreference property specifies how CodeDeploy deploys new versions of the function. By configuring the deployment configuration type to LambdaCanary10Percent10Minutes, the DevOps team can enable canary deployment with 10% of traffic shifted to the new version every 10 minutes.

Create an AWS CodeCommit repository. Create an AWS CodePipeline pipeline. Use the CodeCommit repository in a new source stage that starts the pipeline. Create an AWS CodeBuild project to deploy the AWS SAM template. CodeCommit is a fully managed source control service that hosts Git repositories. CodePipeline is a fully managed continuous delivery service that automates the release process of software applications. CodeBuild is a fully managed continuous integration service that compiles source code and runs tests. By using these services, the DevOps team can create a CI/CD pipeline for the Lambda application. The pipeline should use the CodeCommit repository as the source stage, where the DevOps team can upload the SAM template and source code. The pipeline should also use a CodeBuild project as the build stage, where the SAM template can be built and deployed.

Create an Amazon CloudWatch alarm for each Lambda function. Configure the alarms to enter the ALARM state if any errors are detected. Configure an evaluation period, dimensions for each Lambda function and version, and the namespace as AWS/Lambda on the Errors metric. CloudWatch is a service that monitors and collects metrics from AWS resources and applications. CloudWatch alarms are actions that are triggered when a metric crosses a specified threshold. By creating CloudWatch alarms for each Lambda function, the DevOps team can monitor the health and performance of each function version during deployment. By configuring the alarms to enter the ALARM state if any errors are detected, the DevOps team can enable automated rollback if any failures are reported.

Question 45

A company hosts its staging website using an Amazon EC2 instance backed with Amazon EBS storage. The company wants to recover quickly with minimal data losses in the event of network connectivity issues or power failures on the EC2 instance.

Which solution will meet these requirements?

Options:

Add the instance to an EC2 Auto Scaling group with the minimum, maximum, and desired capacity set to 1.

Add the instance to an EC2 Auto Scaling group with a lifecycle hook to detach the EBS volume when the EC2 instance shuts down or terminates.

Create an Amazon CloudWatch alarm for the StatusCheckFailed System metric and select the EC2 action to recover the instance.

Create an Amazon CloudWatch alarm for the StatusCheckFailed Instance metric and select the EC2 action to reboot the instance.

Question 46

A company has many AWS accounts. During AWS account creation the company uses automation to create an Amazon CloudWatch Logs log group in every AWS Region that the company operates in. The automaton configures new resources in the accounts to publish logs to the provisioned log groups in their Region.

The company has created a logging account to centralize the logging from all the other accounts. A DevOps engineer needs to aggregate the log groups from all the accounts to an existing Amazon S3 bucket in the logging account.

Which solution will meet these requirements in the MOST operationally efficient manner?

Options:

In the logging account create a CloudWatch Logs destination with a destination policy. For each new account subscribe the CloudWatch Logs log groups to the. Destination Configure a single Amazon Kinesis data stream and a single Amazon Kinesis Data Firehose delivery stream to deliver the logs from the CloudWatch Logs destination to the S3 bucket.

In the logging account create a CloudWatch Logs destination with a destination policy for each Region. For each new account subscribe the CloudWatch Logs log groups to the destination. Configure a single Amazon Kinesis data stream and a single Amazon Kinesis Data Firehose delivery stream to deliver the logs from all the CloudWatch Logs destinations to the S3 bucket.

In the logging account create a CloudWatch Logs destination with a destination policy for each Region. For each new account subscribe the CloudWatch Logs log groups to the destination Configure an Amazon Kinesis data stream and an Amazon Kinesis Data Firehose delivery stream for each Region to deliver the logs from the CloudWatch Logs destinations to the S3 bucket.

In the logging account create a CloudWatch Logs destination with a destination policy. For each new account subscribe the CloudWatch Logs log groups to the destination. Configure a single Amazon Kinesis data stream to deliver the logs from the CloudWatch Logs destination to the S3 bucket.

Question 47

A DevOps engineer used an AWS CloudFormation custom resource to set up AD Connector. The AWS Lambda function ran and created AD Connector, but CloudFormation is not transitioning from CREATE_IN_PROGRESS to CREATE_COMPLETE. Which action should the engineer take to resolve this issue?

Options:

Ensure the Lambda function code has exited successfully.

Ensure the Lambda function code returns a response to the pre-signed URL.

Ensure the Lambda function IAM role has cloudformation:UpdateStack permissions for the stack ARN.

Ensure the Lambda function IAM role has ds:ConnectDirectory permissions for the AWS account.

Question 48

A company recently launched multiple applications that use Application Load Balancers. Application response time often slows down when the applications experience problems A DevOps engineer needs to Implement a monitoring solution that alerts the company when the applications begin to perform slowly The DevOps engineer creates an Amazon Simple Notification Semce (Amazon SNS) topic and subscribe the company ' s email address to the topic

What should the DevOps engineer do next to meet the requirements?

Options:

Create an Amazon EventBridge rule that invokes an AWS Lambda function to query the applications on a 5-minute interval Configure the Lambda function to publish a notification to the SNS topic when the applications return errors.

Create an Amazon CloudWatch Synthetics canary that runs a custom script to query the applications on a 5-minute interval. Configure the canary to use the SNS topic when the applications return errors.

Create an Amazon CloudWatch alarm that uses the AWS/AppljcabonELB namespace RequestCountPerTarget metric Configure the CloudWatch alarm to send a notification when the number of connections becomes greater than the configured number of threads that the application supports Configure the CloudWatch alarm to use the SNS topic.

Create an Amazon CloudWatch alarm that uses the AWS/ApplicationELB namespace RequestCountPerTarget metric Configure the CloudWatch alarm to send a notification when the average response time becomes greater than the longest response time that the application supports Configure the CloudWatch alarm to use the SNS topic

Answer:

Explanation:

Option A is incorrect because creating an Amazon EventBridge rule that invokes an AWS Lambda function to query the applications on a 5-minute interval is not a valid solution. EventBridge rules can only trigger Lambda functions based on events, not on time intervals. Moreover, querying the applications on a 5-minute interval might incur unnecessary costs and network overhead, and might not detect performance issues in real time.

Option B is correct because creating an Amazon CloudWatch Synthetics canary that runs a custom script to query the applications on a 5-minute interval is a valid solution. CloudWatch Synthetics canaries are configurable scripts that monitor endpoints and APIs by simulating customer behavior. Canaries can run as often as once per minute, and can measure the latency and availability of the applications. Canaries can also send notifications to an Amazon SNS topic when they detect errors or performance issues1.

Option C is incorrect because creating an Amazon CloudWatch alarm that uses the AWS/ApplicationELB namespace RequestCountPerTarget metric is not a valid solution. The RequestCountPerTarget metric measures the number of requests completed or connections made per target in a target group2. This metric does not reflect the application response time, which is the requirement. Moreover, configuring the CloudWatch alarm to send a notification when the number of connections becomes greater than the configured number of threads that the application supports is not a valid way to measure the application performance, as it depends on the application design and implementation.

Option D is incorrect because creating an Amazon CloudWatch alarm that uses the AWS/ApplicationELB namespace RequestCountPerTarget metric is not a valid solution, for the same reason as option C. The RequestCountPerTarget metric does not reflect the application response time, which is the requirement. Moreover, configuring the CloudWatch alarm to send a notification when the average response time becomes greater than the longest response time that the application supports is not a valid way to measure the application performance, as it does not account for variability or outliers in the response time distribution.

[References:, 1: Using synthetic monitoring, 2: Application Load Balancer metrics, , , ]

Question 49

A company runs a data processing pipeline on AWS every day. The pipeline downloads data from an Amazon S3 bucket to Amazon EC2 instances. The company runs a batch analysis process on the downloaded data by manually running a custom Python script. The batch process usually takes 10 to 30 minutes to complete the analysis.

A DevOps engineer wants to modernize the data processing pipeline. The DevOps engineer needs to set up a new event-driven pipeline that sends notifications to company management when the batch process is finished.

Which solution will meet these requirements with the LEAST operational overhead?

Options:

Invoke a Python shell job in AWS Glue to run the custom Python script in response to an Amazon EventBridge rule when a new file is uploaded to the S3 bucket. Use EventBridge and Amazon Simple Notification Service (Amazon SNS) to build an automated workflow that sends notifications to company management when the AWS Glue job finishes running.

Run the custom Python script on an EC2 instance when a new file is uploaded to the S3 bucket. Use Amazon EventBridge and Amazon Simple Notification Service (Amazon SNS) to build an automated workflow that sends notifications to company management when the Python script finishes running.

Invoke an AWS Lambda function by using AWS Step Functions with a retry mechanism that is based on an S3 event notification when a new file is uploaded to the S3 bucket. Use Amazon EventBridge and Amazon Simple Notification Service (Amazon SNS) to build an automated workflow that sends notifications to company management when the Lambda function finishes running.

Run the custom Python script on an EC2 instance by creating a new custom API that points to the Python script. Use Amazon EventBridge and Amazon Simple Notification Service (Amazon SNS) to build an automated workflow that sends notifications to company management when the Python script finishes running.

Question 50

A company is launching an application. The application must use only approved AWS services. The account that runs the application was created less than 1 year ago and is assigned to an AWS Organizations OU.

The company needs to create a new Organizations account structure. The account structure must have an appropriate SCP that supports the use of only services that are currently active in the AWS account.

The company will use AWS Identity and Access Management (IAM) Access Analyzer in the solution.

Which solution will meet these requirements?

Options:

Create an SCP that allows the services that IAM Access Analyzer identifies. Create an OU for the account. Move the account into the new OU. Attach the new SCP to the new OU. Detach the default FullAWSAccess SCP from the new OU.

Create an SCP that denies the services that IAM Access Analyzer identifies. Create an OU for the account. Move the account into the new OIJ. Attach the new SCP to the new OU.

Create an SCP that allows the services that IAM Access Analyzer identifies. Attach the new SCP to the organization ' s root.

Create an SCP that allows the services that IAM Access Analyzer identifies. Create an OU for the account. Move the account into the new OU. Attach the new SCP to the management account. Detach the default FullAWSAccess SCP from the new OU.

Answer:

Explanation:

To meet the requirements of creating a new Organizations account structure with an appropriate SCP that supports the use of only services that are currently active in the AWS account, the company should use the following solution:

Create an SCP that allows the services that IAM Access Analyzer identifies. IAM Access Analyzer is a service that helps identify potential resource-access risks by analyzing resource-based policies in the AWS environment. IAM Access Analyzer can also generate IAM policies based on access activity in the AWS CloudTrail logs. By using IAM Access Analyzer, the company can create an SCP that grants only the permissions that are required for the application to run, and denies all other services. This way, the company can enforce the use of only approved AWS services and reduce the risk of unauthorized access12

Create an OU for the account. Move the account into the new OU. An OU is a container for accounts within an organization that enables you to group accounts that have similar business or security requirements. By creating an OU for the account, the company can apply policies and manage settings for the account as a group. The company should move the account into the new OU to make it subject to the policies attached to the OU3

Attach the new SCP to the new OU. Detach the default FullAWSAccess SCP from the new OU. An SCP is a type of policy that specifies the maximum permissions for an organization or organizational unit (OU). By attaching the new SCP to the new OU, the company can restrict the services that are available to all accounts in that OU, including the account that runs the application. The company should also detach the default FullAWSAccess SCP from the new OU, because this policy allows all actions on all AWS services and might override or conflict with the new SCP45

The other options are not correct because they do not meet the requirements or follow best practices. Creating an SCP that denies the services that IAM Access Analyzer identifies is not a good option because it might not cover all possible services that are not approved or required for the application. A deny policy is also more difficult to maintain and update than an allow policy. Creating an SCP that allows the services that IAM Access Analyzer identifies and attaching it to the organization’s root is not a good option because it might affect other accounts and OUs in the organization that have different service requirements or approvals. Creating an SCP that allows the services that IAM Access Analyzer identifies and attaching it to the management account is not a valid option because SCPs cannot be attached directly to accounts, only to OUs or roots.

1: Using AWS Identity and Access Management Access Analyzer - AWS Identity and Access Management

2: Generate a policy based on access activity - AWS Identity and Access Management

3: Organizing your accounts into OUs - AWS Organizations

4: Service control policies - AWS Organizations

5: How SCPs work - AWS Organizations

Question 51

A DevOps engineer needs to design a cloud-based solution to standardize deployment artifacts for AWS Cloud deployments and on-premises deployments. There is currently no routing traffic between the on-premises data center and the AWS environment.

The solution must be able to consume downstream packages from public repositories and must be highly available. Data must be encrypted in transit and at rest. The solution must store the deployment artifacts in object storage and deploy the deployment artifacts into Amazon Elastic Container Service (Amazon ECS). The deployment artifacts must be encrypted in transit if the deployment artifacts travel across the public internet.

The DevOps engineer needs to deploy this solution in less than two weeks.

Which solution will meet these requirements?

Options:

Use a third-party software VPN appliance to connect the on-premises data center and AWS. Use AWS CodeArtifact to store the deployment artifacts.

Use an AWS Direct Connect connection and a VPN connection to connect the on-premises data center to AWS. Deploy third-party artifact management software on Amazon EC2 instances.

Use two AWS VPN connections to connect the on-premises data center to AWS. Use AWS CodeArtifact to store the deployment artifacts.

Use parallel AWS Direct Connect connections to connect the on-premises data center to AWS. Deploy third-party artifact management software on Amazon EC2 instances.

Question 52

A company deploys an application on on-premises devices in the company ' s on-premises data center. The company uses an AWS Direct Connect connection between the data center and the company ' s AWS account. During initial setup of the on-premises devices and during application updates, the application needs to retrieve configuration files from an Amazon Elastic File System (Amazon EFS) file system. All traffic from the on-premises devices to Amazon EFS must remain private and encrypted. The on-premises devices must follow the principle of least privilege for AWS access. The company ' s DevOps team needs the ability to revoke access from a single device without affecting the access of the other devices. Which combination of steps will meet these requirements? (Select TWO.)

Options:

Create an IAM user that has an access key and a secret key for each device. Attach the AmazonElasticFileSystemFullAccess policy to all IAM users. Configure the AWS CLI on the on-premises devices to use the IAM user ' s access key and secret key.

Generate certificates for each on-premises device in AWS Private Certificate Authority. Create a trust anchor in IAM Roles Anywhere that references an AWS Private CA. Create an IAM role that trusts IAM Roles Anywhere. Attach the AmazonElasticFileSystemClientReadWriteAccess to the role. Create an IAM Roles Anywhere profile for the IAM role. Configure the AWS CLI on the on-premises devices to use the aws_signing_helper command to obtain crede

Create an IAM user that has an access key and a secret key for all devices. Attach the AmazonElasticFileSystemClientReadWriteAccess policy to the IAM user. Configure the AWS CLI on the on-premises devices to use the IAM user ' s access key and secret key.

Use the amazon-efs-utils package to mount the EFS file system.

Use the native Linux NFS client to mount the EFS file system.

Question 53

A company frequently creates Docker images stored in Amazon ECR, with both tagged and untagged versions. The company wants to delete stale or unused images while keeping a minimum count.

Which solution meets this requirement?

Options:

Use S3 lifecycle policies (not applicable).

Use ECR Lifecycle Policies based on image age or count.

Schedule Lambda to delete by age.

Use Systems Manager automation scripts.

Question 54

A company has a fleet of Amazon EC2 instances that run Linux in a single AWS account. The company is using an AWS Systems Manager Automation task across the EC2 instances.

During the most recent patch cycle, several EC2 instances went into an error state because of insufficient available disk space. A DevOps engineer needs to ensure that the EC2 instances have sufficient available disk space during the patching process in the future.

Which combination of steps will meet these requirements? {Select TWO.)

Options:

Ensure that the Amazon CloudWatch agent is installed on all EC2 instances

Create a cron job that is installed on each EC2 instance to periodically delete temporary files.

Create an Amazon CloudWatch log group for the EC2 instances. Configure a cron job that is installed on each EC2 instance to write the available disk space to a CloudWatch log stream for the relevant EC2 instance.

Create an Amazon CloudWatch alarm to monitor available disk space on all EC2 instances Add the alarm as a safety control to the Systems Manager Automation task.

Create an AWS Lambda function to periodically check for sufficient available disk space on all EC2 instances by evaluating each EC2 instance ' s respective Amazon CloudWatch log stream.

Question 55

A company needs to implement failover for its application. The application includes an Amazon CloudFront distribution and a public Application Load Balancer (ALB) in an AWS Region. The company has configured the ALB as the default origin for the distribution.

After some recent application outages, the company wants a zero-second RTO. The company deploys the application to a secondary Region in a warm standby configuration. A DevOps engineer needs to automate the failover of the application to the secondary Region so that HTTP GET requests meet the desired RTO.

Which solution will meet these requirements?

Options:

Create a second CloudFront distribution that has the secondary ALB as the default origin. Create Amazon Route 53 alias records that have a failover policy and Evaluate Target Health set to Yes for both CloudFront distributions. Update the application to use the new record set.

Create a new origin on the distribution for the secondary ALB. Create a new origin group. Set the original ALB as the primary origin. Configure the origin group to fail over for HTTP 5xx status codes. Update the default behavior to use the origin group.

Create Amazon Route 53 alias records that have a failover policy and Evaluate Target Health set to Yes for both ALBs. Set the TTL of both records to 0. Update the distribution ' s origin to use the new record set.

Create a CloudFront function that detects HTTP 5xx status codes. Configure the function to return a 307 Temporary Redirect error response to the secondary ALB if the function detects 5xx status codes. Update the distribution ' s default behavior to send origin responses to the function.

Question 56

A company uses a pipeline in AWS CodePipeline to upload AWS CloudFormation templates to an Amazon S3 bucket. The pipeline uses the templates to deploy CloudFormation stacks that match the names of the templates.

The company has experienced issues when it tries to revert templates to a previous version. To prevent these issues, the company must have the ability to review template modifications before the modifications are deployed to production.

Which solution will meet these requirements with the LEAST operational overhead ?

Options:

Configure a connection in AWS CodeConnections to a Git repository. Store the templates in the Git repository. Configure a pull request workflow to review template modifications. Configure AWS CloudFormation Git sync for the stacks.

Add a manual review action in the pipeline to review modifications to the template code before the stack deployments.

Update the pipeline to invoke an AWS Lambda function to check the template modifications before the stack deployments.

Configure a connection in AWS CodeConnections to a Git repository. Store the templates in the Git repository. Configure the pipeline to include a source action that uses the connection. Add a manual review action to the pipeline to review template modifications before the stack deployments.

Question 57

A company wants to deploy a workload on several hundred Amazon EC2 instances. The company will provision the EC2 instances in an Auto Scaling group by using a launch template.

The workload will pull files from an Amazon S3 bucket, process the data, and put the results into a different S3 bucket. The EC2 instances must have least-privilege permissions and must use temporary security credentials.

Which combination of steps will meet these requirements? (Select TWO.)

Options:

Create an IAM role that has the appropriate permissions for S3 buckets. Add the IAM role to an instance profile.

Update the launch template to include the IAM instance profile.

Create an IAM user that has the appropriate permissions for Amazon S3. Generate a secret key and token.

Create a trust anchor and profile. Attach the IAM role to the profile.

Update the launch template. Modify the user data to use the new secret key and token.

Answer:

A, B

Explanation:

To meet the requirements of deploying a workload on several hundred EC2 instances with least-privilege permissions and temporary security credentials, the company should use an IAM role and an instance profile. An IAM role is a way to grant permissions to an entity that you trust, such as an EC2 instance. An instance profile is a container for an IAM role that you can use to pass role information to an EC2 instance when the instance starts. By using an IAM role and an instance profile, the EC2 instances can automatically receive temporary security credentials from the AWS Security Token Service (STS) and use them to access the S3 buckets. This way, the company does not need to manage or rotate any long-term credentials, such as IAM users or access keys.

To use an IAM role and an instance profile, the company should create an IAM role that has the appropriate permissions for S3 buckets. The permissions should allow the EC2 instances to read from the source S3 bucket and write to the destination S3 bucket. The company should also create a trust policy for the IAM role that specifies that EC2 is allowed to assume the role. Then, the company should add the IAM role to an instance profile. An instance profile can have only one IAM role, so the company does not need to create multiple roles or profiles for this scenario.

Next, the company should update the launch template to include the IAM instance profile. A launch template is a way to save launch parameters for EC2 instances, such as the instance type, security group, user data, and IAM instance profile. By using a launch template, the company can ensure that all EC2 instances in the Auto Scaling group have consistent configuration and permissions. The company should specify the name or ARN of the IAM instance profile in the launch template. This way, when the Auto Scaling group launches new EC2 instances based on the launch template, they will automatically receive the IAM role and its permissions through the instance profile.

The other options are not correct because they do not meet the requirements or follow best practices. Creating an IAM user and generating a secret key and token is not a good option because it involves managing long-term credentials that need to be rotated regularly. Moreover, embedding credentials in user data is not secure because user data is visible to anyone who can describe the EC2 instance. Creating a trust anchor and profile is not a valid option because trust anchors are used for certificate-based authentication, not for IAM roles or instance profiles. Modifying user data to use a new secret key and token is also not a good option because it requires updating user data every time the credentials change, which is not scalable or efficient.

1: AWS Certified DevOps Engineer - Professional Certification | AWS Certification | AWS

2: DevOps Resources - Amazon Web Services (AWS)

3: Exam Readiness: AWS Certified DevOps Engineer - Professional

IAM Roles for Amazon EC2 - AWS Identity and Access Management

Working with Instance Profiles - AWS Identity and Access Management

Launching an Instance Using a Launch Template - Amazon Elastic Compute Cloud

Temporary Security Credentials - AWS Identity and Access Management

Question 58

A company uses an organization in AWS Organizations to manage multiple AWS accounts The company needs an automated process across all AWS accounts to isolate any compromised Amazon EC2 instances when the instances receive a specific tag.

Which combination of steps will meet these requirements? (Select TWO.)

Options:

Use AWS Cloud Formation StackSets to deploy the Cloud Formation stacks in all AWS accounts.

Create an SCP that has a Deny statement for the ec2: " action with a condition of " aws:RequestTag/isolation " : false.

Attach the SCP to the root of the organization.

Create an AWS Cloud Formation template that creates an EC2 instance rote that has no 1AM policies attached. Configure the template to have a security group that has an explicit Deny rule on all traffic. Use the Cloud Formation template to create an AWS Lambda function that attaches the 1AM role to instances. Configure the Lambda function to add a network ACL. Sot up an Amazon EventBridge rule to invoke the Lambda function when a specific ta

Create an AWS Cloud Formation template that creates an EC2 instance role that has no 1AM policies attached. Configure the template to have a security group that has no inbound rules or outbound rules. Use the CloudFormation template to create an AWS Lambda function that attaches the 1AM role to instances. Configure the Lambda function to replace any existing security groups with the new security group. Set up an Amazon EventBridge rule to i

Answer:

A, E

Explanation:

 Step 1: Deploy the Automation Solution using CloudFormation StackSets

To automate the process across multiple AWS accounts within an organization, you can use AWS CloudFormation StackSets. StackSets allow you to deploy CloudFormation templates to multiple accounts within an organization, ensuring consistent infrastructure and automation.

Action: Use AWS CloudFormation StackSets to deploy the necessary resources across all AWS accounts. This includes deploying the Lambda function and security groups that will isolate compromised EC2 instances.

Why: StackSets make it easy to deploy and manage resources across multiple AWS accounts, reducing the operational overhead.

[Reference: AWS documentation on CloudFormation StackSets., This corresponds to Option A: Use AWS CloudFormation StackSets to deploy the CloudFormation stacks in all AWS accounts.,  Step 2: Isolate EC2 Instances using Lambda and Security GroupsWhen an EC2 instance is compromised, it needs to be isolated from the network. This can be done by creating a security group with no inbound or outbound rules and attaching it to the instance. A Lambda function can handle this process and can be triggered automatically by an Amazon EventBridge rule when a specific tag (e.g., "isolation") is applied to the compromised instance., Action: Create a Lambda function that attaches an isolated security group (with no inbound or outbound rules) to the compromised EC2 instances. Set up an EventBridge rule to trigger the Lambda function when the "isolation" tag is applied to the instance., Why: This automates the isolation process, ensuring that any compromised instances are immediately cut off from the network, reducing the potential damage from the compromise., Reference: AWS documentation on Tag-based Event Handling., This corresponds to Option E: Create an AWS CloudFormation template that creates an EC2 instance role that has no IAM policies attached. Configure the template to have a security group that has no inbound rules or outbound rules. Use the CloudFormation template to create an AWS Lambda function that attaches the IAM role to instances. Configure the Lambda function to replace any existing security groups with the new security group. Set up an Amazon EventBridge rule to invoke the Lambda function when a specific tag is applied to a compromised EC2 instance., , , ]

Question 59

A DevOps engineer has created an AWS CloudFormation template that deploys an application on Amazon EC2 instances The EC2 instances run Amazon Linux The application is deployed to the EC2 instances by using shell scripts that contain user data. The EC2 instances have an 1AM instance profile that has an 1AM role with the AmazonSSMManagedlnstanceCore managed policy attached

The DevOps engineer has modified the user data in the CloudFormation template to install a new version of the application. The engineer has also applied the stack update. However, the application was not updated on the running EC2 instances. The engineer needs to ensure that the changes to the application are installed on the running EC2 instances.

Which combination of steps will meet these requirements? (Select TWO.)

Options:

Configure the user data content to use the Multipurpose Internet Mail Extensions (MIME) multipart format. Set the scripts-user parameter to always in the text/cloud-config section.

Refactor the user data commands to use the cfn-init helper script. Update the user data to install and configure the cfn-hup and cfn-mit helper scripts to monitor and apply the metadata changes

Configure an EC2 launch template for the EC2 instances. Create a new EC2 Auto Scaling group. Associate the Auto Scaling group with the EC2 launch template Use the AutoScalingScheduledAction update policy for the Auto Scaling group.

Refactor the user data commands to use an AWS Systems Manager document (SSM document). Add an AWS CLI command in the user data to use Systems Manager Run Command to apply the SSM document to the EC2 instances

Refactor the user data command to use an AWS Systems Manager document (SSM document) Use Systems Manager State Manager to create an association between the SSM document and the EC2 instances.

Question 60

A DevOps engineer needs to implement a CI/CD pipeline in an AWS account. The pipeline must consume sensitive database credentials that are stored in an AWS Systems Manager Parameter Store parameter. The Parameter Store parameter is in a separate central account. The DevOps engineer needs to create and integrate the parameter with the CI/CD account.

Which combination of steps will meet these requirements? (Select THREE.)

Options:

Use an advanced tier Parameter Store parameter to store the database credentials in the central AWS account.

Create an IAM role in the AWS account that hosts the CI/CD pipeline. Add the full ARN of the parameter to the IAM policy that is associated with the IAM role.

Use a standard tier Parameter Store parameter to store the database credentials in the central AWS account.

Use an AWS KMS managed key to encrypt the parameter. Grant decrypt permissions for the KMS key to the AWS account that hosts the CI/CD pipeline.

Use a customer managed AWS KMS key to encrypt the parameter. Grant decrypt permissions for the customer managed key to the AWS account that hosts the CI/CD pipeline.

Create an AWS Resource Access Manager (AWS RAM) resource share in the central AWS account. Share the parameter with the account that hosts the CI/CD pipeline.

Question 61

A development team is using AWS CodeCommit to version control application code and AWS CodePipeline to orchestrate software deployments. The team has decided to use a remote main branch as the trigger for the pipeline to integrate code changes. A developer has pushed code changes to the CodeCommit repository, but noticed that the pipeline had no reaction, even after 10 minutes.

Which of the following actions should be taken to troubleshoot this issue?

Options:

Check that an Amazon EventBridge rule has been created for the main branch to trigger the pipeline.

Check that the CodePipeline service role has permission to access the CodeCommit repository.

Check that the developer’s IAM role has permission to push to the CodeCommit repository.

Check to see if the pipeline failed to start because of CodeCommit errors in Amazon CloudWatch Logs.

Question 62

A company uses Amazon RDS for Microsoft SQL Server as its primary database and must ensure cross-Region high availability with RPO < 1 min and RTO < 10 min.

Which solution meets these requirements?

Options:

Use RDS Multi-AZ DB cluster with cross-Region read replicas. Automate failover via Route 53.

Use Multi-AZ cluster with snapshots copied cross-Region.

Use single-AZ RDS + DMS continuous replication.

Use single-AZ with Backup and restore.

Question 63

A company uses an Amazon Elastic Kubernetes Service (Amazon EKS) cluster to host its machine learning (ML) application. As the ML model and the container image size grow, the time that new pods take to start up has increased to several minutes.

A DevOps engineer needs to reduce the startup time to seconds. The solution must also reduce the startup time to seconds when the pod runs on nodes that were recently added to the cluster.

The DevOps engineer creates an Amazon EventBridge rule that invokes an automation in AWS Systems Manager. The automation prefetches the container images from an Amazon Elastic Container Registry (Amazon ECR) repository when new images are pushed to the repository. The DevOps engineer also configures tags to be applied to the cluster and the node groups.

What should the DevOps engineer do next to meet the requirements?

Options:

Create an IAM role that has a policy that allows EventBridge to use Systems Manager to run commands in the EKS cluster ' s control plane nodes. Create a Systems Manager State Manager association that uses the control plane nodes ' tags to prefetch corresponding container images.

Create an IAM role that has a policy that allows EventBridge to use Systems Manager to run commands in the EKS cluster ' s nodes. Create a Systems Manager State Manager association that uses the nodes ' machine size to prefetch corresponding container images.

Create an IAM role that has a policy that allows EventBridge to use Systems Manager to run commands in the EKS cluster ' s control plane nodes. Create a Systems Manager State Manager association that uses the nodes ' tags to prefetch corresponding container images.

Question 64

A DevOps engineer is planning to deploy a Ruby-based application to production. The application needs to interact with an Amazon RDS for MySQL database and should have automatic scaling and high availability. The stored data in the database is critical and should persist regardless of the state of the application stack.

The DevOps engineer needs to set up an automated deployment strategy for the application with automatic rollbacks. The solution also must alert the application team when a deployment fails.

Which combination of steps will meet these requirements? (Select THREE.)

Options:

Deploy the application on AWS Elastic Beanstalk. Deploy an Amazon RDS for MySQL DB instance as part of the Elastic Beanstalk configuration.

Deploy the application on AWS Elastic Beanstalk. Deploy a separate Amazon RDS for MySQL DB instance outside of Elastic Beanstalk.

Configure a notification email address that alerts the application team in the AWS Elastic Beanstalk configuration.

Configure an Amazon EventBridge rule to monitor AWS Health events. Use an Amazon Simple Notification Service (Amazon SNS) topic as a target to alert the application team.

Use the immutable deployment method to deploy new application versions.

Use the rolling deployment method to deploy new application versions.

Question 65

A company ' s application has an API that retrieves workload metrics. The company needs to audit, analyze, and visualize these metrics from the application to detect issues at scale.

Which combination of steps will meet these requirements? (Select THREE).

Options:

Configure an Amazon EventBridge schedule to invoke an AWS Lambda function that calls the API to retrieve workload metrics. Store the workload metric data in an Amazon S3 bucket.

Configure an Amazon EventBridge schedule to invoke an AWS Lambda function that calls the API to retrieve workload metrics. Store the workload metric data in an Amazon DynamoDB table that has a DynamoDB stream enabled.

Create an AWS Glue crawler to catalog the workload metric data in the Amazon S3 bucket. Create views in Amazon Athena for the cataloged data.

Connect an AWS Glue crawler to the Amazon DynamoDB stream to catalog the workload metric data. Create views in Amazon Athena for the cataloged data.

Create Amazon QuickSight datasets from the Amazon Athena views. Create a QuickSight analysis to visualize the workload metric data as a dashboard.

Create an Amazon CloudWatch dashboard that has custom widgets that invoke AWS Lambda functions. Configure the Lambda functions to query the workload metrics data from the Amazon Athena views.

Question 66

A company is migrating its on-premises Windows applications and Linux applications to AWS. The company will use automation to launch Amazon EC2 instances to mirror the on-premises configurations. The migrated applications require access to shared storage that uses SMB for Windows and NFS for Linux.

The company is also creating a pilot light disaster recovery (DR) environment in another AWS Region. The company will use automation to launch and configure the EC2 instances in the DR Region. The company needs to replicate the storage to the DR Region.

Which storage solution will meet these requirements?

Options:

Use Amazon S3 for the application storage. Create an S3 bucket in the primary Region and an S3 bucket in the DR Region. Configure S3 Cross-Region Replication (CRR) from the primary Region to the DR Region.

Use Amazon Elastic Block Store (Amazon EBS) for the application storage. Create a backup plan in AWS Backup that creates snapshots of the EBS volumes that are in the primary Region and replicates the snapshots to the DR Region.

Use a Volume Gateway in AWS Storage Gateway for the application storage. Configure Cross-Region Replication (CRR) of the Volume Gateway from the primary Region to the DR Region.

Use Amazon FSx for NetApp ONTAP for the application storage. Create an FSx for ONTAP instance in the DR Region. Configure NetApp SnapMirror replication from the primary Region to the DR Region.

Answer:

Explanation:

To meet the requirements of migrating its on-premises Windows and Linux applications to AWS and creating a pilot light DR environment in another AWS Region, the company should use Amazon FSx for NetApp ONTAP for the application storage. Amazon FSx for NetApp ONTAP is a fully managed service that provides highly reliable, scalable, high-performing, and feature-rich file storage built on NetApp’s popular ONTAP file system. FSx for ONTAP supports multiple protocols, including SMB for Windows and NFS for Linux, so the company can access the shared storage from both types of applications. FSx for ONTAP also supports NetApp SnapMirror replication, which enables the company to replicate the storage to the DR Region. NetApp SnapMirror replication is efficient, secure, and incremental, and it preserves the data deduplication and compression benefits of FSx for ONTAP. The company can use automation to launch and configure the EC2 instances in the DR Region and then use NetApp SnapMirror to restore the data from the primary Region.

The other options are not correct because they do not meet the requirements or follow best practices. Using Amazon S3 for the application storage is not a good option because S3 is an object storage service that does not support SMB or NFS protocols natively. The company would need to use additional services or software to mount S3 buckets as file systems, which would add complexity and cost. Using Amazon EBS for the application storage is also not a good option because EBS is a block storage service that does not support SMB or NFS protocols natively. The company would need to set up and manage file servers on EC2 instances to provide shared access to the EBS volumes, which would add overhead and maintenance. Using a Volume Gateway in AWS Storage Gateway for the application storage is not a valid option because Volume Gateway does not support SMB protocol. Volume Gateway only supports iSCSI protocol, which means that only Linux applications can access the shared storage.

1: What is Amazon FSx for NetApp ONTAP? - FSx for ONTAP

2: Amazon FSx for NetApp ONTAP

3: Amazon FSx for NetApp ONTAP | NetApp

4: AWS Announces General Availability of Amazon FSx for NetApp ONTAP

Replicating Data with NetApp SnapMirror - FSx for ONTAP

What Is Amazon S3? - Amazon Simple Storage Service

What Is Amazon Elastic Block Store (Amazon EBS)? - Amazon Elastic Compute Cloud

What Is AWS Storage Gateway? - AWS Storage Gateway

Question 67

A company sends its AWS Network Firewall flow logs to an Amazon S3 bucket. The company then analyzes the flow logs by using Amazon Athena. The company needs to transform the flow logs and add additional data before the flow logs are delivered to the existing S3 bucket. Which solution will meet these requirements?

Options:

Create an AWS Lambda function to transform the data and to write a new object to the existing S3 bucket. Configure the Lambda function with an S3 trigger for the existing S3 bucket. Specify all object create events for the event type. Acknowledge the recursive invocation.

Enable Amazon EventBridge notifications on the existing S3 bucket. Create a custom EventBridge event bus. Create an EventBridge rule that is associated with the custom event bus. Configure the rule to react to all object create events for the existing S3 bucket and to invoke an AWS Step Functions workflow. Configure a Step Functions task to transform the data and to write the data into a new S3 bucket.

Create an Amazon EventBridge rule that is associated with the default EventBridge event bus. Configure the rule to react to all object create events for the existing S3 bucket. Define a new S3 bucket as the target for the rule. Create an EventBridge input transformation to customize the event before passing the event to the rule target.

Create an Amazon Data Firehose delivery stream that is configured with an AWS Lambda transformer. Specify the existing S3 bucket as the destination. Change the Network Firewall logging destination from Amazon S3 to Firehose.

Question 68

A company uses Amazon Elastic Container Service (Amazon ECS) with an Amazon EC2 launch type. The company requires all log data to be centralized on Amazon CloudWatch. The company ' s ECS tasks include a LogConfiguration object that specifies a value of awslogs for the log driver name.

The company ' s ECS tasks failed to deploy. An error message indicates that a missing permission causes the failure. The company confirmed that the IAM role used to launch container instances includes the logs:CreateLogGroup, logs:CreateLogStream, and logs:PutLogEvents permissions.

Which solution will fix the problem?

Options:

Add an IAM trust policy to the IAM role that establishes Amazon ECS as a trusted service.

Add the logs:PutDestination permission to the policy applied to the IAM role.

Remove the logs:CreateLogStream permission from the policy applied to the IAM role.

Add an IAM trust policy to the IAM role that establishes CloudWatch as a trusted service.

Question 69

A development team manually builds an artifact locally and then places it in an Amazon S3 bucket. The application has a local cache that must be cleared when a deployment occurs. The team runs a command to do this downloads the artifact from Amazon S3 and unzips the artifact to complete the deployment.

A DevOps team wants to migrate to a CI/CD process and build in checks to stop and roll back the deployment when a failure occurs. This requires the team to track the progression of the deployment.

Which combination of actions will accomplish this? (Select THREE)

Options:

Allow developers to check the code into a code repository Using Amazon EventBridge on every pull into the mam branch invoke an AWS Lambda function to build the artifact and store it in Amazon S3.

Create a custom script to clear the cache Specify the script in the Beforelnstall lifecycle hook in the AppSpec file.

Create user data for each Amazon EC2 instance that contains the clear cache script Once deployed test the application If it is not successful deploy it again.

Set up AWS CodePipeline to deploy the application Allow developers to check the code into a code repository as a source tor the pipeline.

Use AWS CodeBuild to build the artifact and place it in Amazon S3 Use AWS CodeDeploy to deploy the artifact to Amazon EC2 instances.

Use AWS Systems Manager to fetch the artifact from Amazon S3 and deploy it to all the instances.

Question 70

A company uses machine learning on transactional data that a development team uploads from multiple sources to an Amazon S3 bucket. The development team finds duplicate objects in the S3 bucket across multiple prefixes. The duplications are increasing the company ' s storage costs.

The company wants to implement an automated solution to identify and remove duplicate objects from the S3 bucket.

Which solution will meet this requirement?

Options:

Use Amazon S3 Storage Lens to scan the S3 bucket and prefixes, create an inventory of the duplicate objects, and invoke an AWS Lambda function to delete the duplicate objects.

Configure AWS CloudTrail to record data events for the S3 bucket. Use Amazon Athena to query S3 data events to identify duplicate objects. Use an AWS Lambda function to delete duplicate objects.

Use Amazon S3 Inventory to generate reports. Use Amazon Athena to query the reports based on ETag values. Use S3 Batch Operations and an AWS Lambda function to remove duplicate objects.

Use AWS Config to identify object changes. Use Amazon EventBridge to delete duplicate objects by running the aws:executeScript action in AWS Systems Manager.

Question 71

A DevOps team operates an integration service that runs on an Amazon EC2 instance. The DevOps team uses Amazon Route 53 to manage the integration service ' s domain name by using a simple routing record. The integration service is stateful and uses Amazon Elastic File System (Amazon EFS) for data storage and state storage. The integration service does not support load balancing between multiple nodes. The DevOps team deploys the integration service on a new EC2 instance as a warm standby to reduce the mean time to recovery. The DevOps team wants the integration service to automatically fail over to the standby EC2 instance. Which solution will meet these requirements?

Options:

Update the existing Route 53 DNS record ' s routing policy to weighted. Set the existing DNS record ' s weighting to 100. For the same domain, add a new DNS record that points to the standby EC2 instance. Set the new DNS record ' s weighting to 0. Associate an application health check with each record.

Update the existing Route 53 DNS record ' s routing policy to weighted. Set the existing DNS record ' s weighting to 99. For the same domain, add a new DNS record that points to the standby EC2 instance. Set the new DNS record ' s weighting to 1. Associate an application health check with each record.

Create an Application Load Balancer (ALB). Update the existing Route 53 record to point to the ALB. Create a target group for each EC2 instance. Configure an application health check on each target group. Associate both target groups with the same ALB listener. Set the primary target group ' s weighting to 100. Set the standby target group ' s weighting to 0.

Create an Application Load Balancer (ALB). Update the existing Route 53 record to point to the ALB. Create a target group for each EC2 instance. Configure an application health check on each target group. Associate both target groups with the same ALB listener. Set the primary target group ' s weighting to 99. Set the standby target group ' s weighting to 1.

Question 72

A company is using AWS Organizations to centrally manage its AWS accounts. The company has turned on AWS Config in each member account by using AWS Cloud Formation StackSets The company has configured trusted access in Organizations for AWS Config and has configured a member account as a delegated administrator account for AWS Config

A DevOps engineer needs to implement a new security policy The policy must require all current and future AWS member accounts to use a common baseline of AWS Config rules that contain remediation actions that are managed from a central account Non-administrator users who can access member accounts must not be able to modify this common baseline of AWS Config rules that are deployed into each member account

Which solution will meet these requirements?

Options:

Create a CloudFormation template that contains the AWS Config rules and remediation actions. Deploy the template from the Organizations management account by using CloudFormation StackSets.

Create an AWS Config conformance pack that contains the AWS Config rules and remediation actions Deploy the pack from the Organizations management account by using CloudFormation StackSets.

Create a CloudFormation template that contains the AWS Config rules and remediation actions Deploy the template from the delegated administrator account by using AWS Config.

Create an AWS Config conformance pack that contains the AWS Config rules and remediation actions. Deploy the pack from the delegated administrator account by using AWS Config.

Question 73

A software engineering team is using AWS CodeDeploy to deploy a new version of an application. The team wants to ensure that if any issues arise during the deployment, the process can automatically roll back to the previous version.

During the deployment process, a health check confirms the application ' s stability. If the health check fails, the deployment must revert automatically.

Which solution will meet these requirements?

Options:

Implement lifecycle event hooks in the deployment configuration.

Use AWS CloudFormation to monitor the health of the deployment.

Set up alarms in Amazon CloudWatch to start a rollback.

Configure automatic rollback settings in AWS CodeDeploy.

Question 74

A company has an application that runs on Amazon EC2 instances. The company uses an AWS CodePipeline pipeline to deploy the application into multiple AWS Regions. The pipeline is configured with a stage for each Region. Each stage contains an AWS CloudFormation action for each Region.

When the pipeline deploys the application to a Region, the company wants to confirm that the application is in a healthy state before the pipeline moves on to the next Region. Amazon Route 53 record sets are configured for the application in each Region. A DevOps engineer creates a Route 53 health check that is based on an Amazon CloudWatch alarm for each Region where the application is deployed.

What should the DevOps engineer do next to meet the requirements?

Options:

Create an AWS Step Functions workflow to check the state of the CloudWatch alarm. Configure the Step Functions workflow to exit with an error if the alarm is in the ALARM state. Create a new stage in the pipeline between each Region deployment stage. In each new stage, include an action to invoke the Step Functions workflow.

Configure an AWS CodeDeploy application to deploy a CloudFormation template with automatic rollback. Configure the CloudWatch alarm as the instance health check for the CodeDeploy application. Remove the CloudFormation actions from the pipeline. Create a CodeDeploy action in the pipeline stage for each Region.

Create a new pipeline stage for each Region where the application is deployed. Configure a CloudWatch alarm action for the new stage to check the state of the CloudWatch alarm and to exit with an error if the alarm is in the ALARM state.

Configure the CloudWatch agent on the EC2 instances to report the application status to the Route 53 health check. Create a new pipeline stage for each Region where the application is deployed. Configure a CloudWatch alarm action to exit with an error if the CloudWatch alarm is in the ALARM state.

Question 75

A DevOps engineer is setting up a container-based architecture. The engineer has decided to use AWS CloudFormation to automatically provision an Amazon ECS cluster and an Amazon EC2 Auto Scaling group to launch the EC2 container instances. After successfully creating the CloudFormation stack, the engineer noticed that, even though the ECS cluster and the EC2 instances were created successfully and the stack finished the creation, the EC2 instances were associating with a different cluster.

How should the DevOps engineer update the CloudFormation template to resolve this issue?

Options:

Reference the EC2 instances in the AWS: ECS: Cluster resource and reference the ECS cluster in the AWS: ECS: Service resource.

Reference the ECS cluster in the AWS: AutoScaling: LaunchConfiguration resource of the UserData property.

Reference the ECS cluster in the AWS:EC2: lnstance resource of the UserData property.

Reference the ECS cluster in the AWS: CloudFormation: CustomResource resource to trigger an AWS Lambda function that registers the EC2 instances with the appropriate ECS cluster.

Question 76

A company has an on-premises application that is written in Go. A DevOps engineer must move the application to AWS. The company ' s development team wants to enable blue/green deployments and perform A/B testing.

Which solution will meet these requirements?

Options:

Deploy the application on an Amazon EC2 instance, and create an AMI of the instance. Use the AMI to create an automatic scaling launch configuration that is used in an Auto Scaling group. Use Elastic Load Balancing to distribute traffic. When changes are made to the application, a new AMI will be created, which will initiate an EC2 instance refresh.

Use Amazon Lightsail to deploy the application. Store the application in a zipped format in an Amazon S3 bucket. Use this zipped version to deploy new versions of the application to Lightsail. Use Lightsail deployment options to manage the deployment.

Use AWS CodeArtifact to store the application code. Use AWS CodeDeploy to deploy the application to a fleet of Amazon EC2 instances. Use Elastic Load Balancing to distribute the traffic to the EC2 instances. When making changes to the application, upload a new version to CodeArtifact and create a new CodeDeploy deployment.

Use AWS Elastic Beanstalk to host the application. Store a zipped version of the application in Amazon S3. Use that location to deploy new versions of the application. Use Elastic Beanstalk to manage the deployment options.

Question 77

A company is using the AWS Cloud Development Kit (AWS CDK) to develop a microservices-based application. The company needs to create reusable infrastructure components for three environments: development, staging, and production. The components must include networking resources, database resources, and serverless compute resources.

The company must implement a solution that provides consistent infrastructure across environments while offering the option for environment-specific customizations. The solution also must minimize code duplication.

Which solution will meet these requirements with the LEAST development overhead?

Options:

Create custom Level 1 (L1) constructs out of Level 2 (L2) constructs where repeatable patterns exist. Create a single set of deployment stacks that takes the environment name as an argument upon instantiation. Deploy CDK applications for each environment.

Create custom Level 1 (L1) constructs out of Level 2 (L2) constructs where repeatable patterns exist. Create separate deployment stacks for each environment. Use the CDK context command to determine which stacks to run when deploying to each environment.

Create custom Level 3 (L3) constructs out of Level 2 (L2) constructs where repeatable patterns exist. Create a single set of deployment stacks that takes the environment name as an argument upon instantiation. Deploy CDK applications for each environment.

Create custom Level 3 (L3) constructs out of Level 2 (L2) constructs where repeatable patterns exist. Create separate deployment stacks for each environment. Use the CDK context command to determine which stacks to run when deploying to each environment.

Question 78

A DevOps engineer is architecting a continuous development strategy for a company ' s software as a service (SaaS) web application running on AWS. For application and security reasons users subscribing to this application are distributed across multiple. Application Load Balancers (ALBs) each of which has a dedicated Auto Scaling group and fleet of Amazon EC2 instances The application does not require a build stage and when it is committed to AWS CodeCommit, the application must trigger a simultaneous deployment to all ALBs Auto Scaling groups and EC2 fleets.

Which architecture will meet these requirements with the LEAST amount of configuration?

Options:

Create a single AWS CodePipeline pipeline that deploys the application in parallel using unique AWS CodeDeploy applications and deployment groups created for each ALB-Auto Scaling group pair.

Create a single AWS CodePipeline pipeline that deploys the application using a single AWS CodeDeploy application and single deployment group.

Create a single AWS CodePipeline pipeline that deploys the application in parallel using a single AWS CodeDeploy application and unique deployment group for each ALB-Auto Scaling group pair.

Create an AWS CodePipeline pipeline for each ALB-Auto Scaling group pair that deploys the application using an AWS CodeDeploy application and deployment group created for the same ALB-Auto Scaling group pair.

Question 79

A DevOps team is merging code revisions for an application that uses an Amazon RDS Multi-AZ DB cluster for its production database. The DevOps team uses continuous integration to periodically verify that the application works. The DevOps team needs to test the changes before the changes are deployed to the production database.

Which solution will meet these requirements ' ?

Options:

Use a buildspec file in AWS CodeBuild to restore the DB cluster from a snapshot of the production database run integration tests, and drop the restored database after verification.

Deploy the application to production. Configure an audit log of data control language (DCL) operations to capture database activities to perform if verification fails.

Create a snapshot of the DB duster before deploying the application Use the Update requires Replacement property on the DB instance in AWS CloudFormation to deploy the application and apply the changes.

Ensure that the DB cluster is a Multi-AZ deployment. Deploy the application with the updates. Fail over to the standby instance if verification fails.

Question 80

A company ' s organization in AWS Organizations has a single OU. The company runs Amazon EC2 instances in the OU accounts. The company needs to limit the use of each EC2 instance ' s credentials to the specific EC2 instance that the credential is assigned to. A DevOps engineer must configure security for the EC2 instances.

Which solution will meet these requirements?

Options:

Create an SCP that specifies the VPC CIDR block. Configure the SCP to check whether the value of the aws:VpcSourcelp condition key is in the specified block. In the same SCP check, check whether the values of the aws:EC2lnstanceSourcePrivatelPv4 and aws:SourceVpc condition keys are the same. Deny access if either condition is false. Apply the SCP to the OU.

Create an SCP that checks whether the values of the aws:EC2lnstanceSourceVPC and aws:SourceVpc condition keys are the same. Deny access if the values are not the same. In the same SCP check, check whether the values of the aws:EC2lnstanceSourcePrivatelPv4 and awsVpcSourcelp condition keys are the same. Deny access if the values are not the same. Apply the SCP to the OU.

Create an SCP that includes a list of acceptable VPC values and checks whether the value of the aws:SourceVpc condition key is in the list. In the same SCP check, define a list of acceptable IP address values and check whether the value of the aws:VpcSourcelp condition key is in the list. Deny access if either condition is false. Apply the SCP to each account in the organization.

Create an SCP that checks whether the values of the aws:EC2lnstanceSourceVPC and aws:VpcSourcelp condition keys are the same. Deny access if the values are not the same. In the same SCP check, check whether the values of the aws:EC2lnstanceSourcePrivatolPv4 and aws:SourceVpc condition keys are the same. Deny access if the values are not the same. Apply the SCP to each account in the organization.

Question 81

A company in a highly regulated industry is building an artifact by using AWS CodeBuild and AWS CodePipeline. The company must connect to an external authenticated API during the building process.

The company ' s DevOps engineer needs to encrypt the build outputs by using an AWS Key Management Service (AWS KMS) key. The external API credentials must be reset each month. The DevOps engineer has created a new key in AWS KMS.

Which solution will meet these requirements?

Options:

Store the API credentials in AWS Systems Manager Parameter Store. Update the key policy for the CodeBuild IAM service role to have access to the KMS key. Set CODEBUILD_KMS_KEY_ID as the new key ID.

Store the API credentials in AWS Systems Manager Parameter Store. Update the key policy for the CodePipeline IAM service role to have access to the KMS key. Add the key to the pipeline.

Store the API credentials in AWS Secrets Manager. Update the key policy for the CodeBuild IAM service role to have access to the KMS key. Set CODEBUILD_KMS_KEY_ID as the new key ID.

Store the API credentials in AWS Secrets Manager. Update the key policy for the CodePipeline IAM service role to have access to the KMS key. Add the key to the pipeline.

Question 82

A company has an application that includes AWS Lambda functions. The Lambda functions run Python code that is stored in an AWS CodeCommit repository. The company has recently experienced failures in the production environment because of an error in the Python code. An engineer has written unit tests for the Lambda functions to help avoid releasing any future defects into the production environment.

The company ' s DevOps team needs to implement a solution to integrate the unit tests into an existing AWS CodePipeline pipeline. The solution must produce reports about the unit tests for the company to view.

Which solution will meet these requirements?

Options:

Associate the CodeCommit repository with Amazon CodeGuru Reviewer. Create a new AWS CodeBuild project. In the CodePipeline pipeline, configure a test stage that uses the new CodeBuild project. Create a buildspec.yml file in the CodeCommit repository. In the buildspec.yml file, define the actions to run a CodeGuru review.

Create a new AWS CodeBuild project. In the CodePipeline pipeline, configure a test stage that uses the new CodeBuild project. Create a CodeBuild report group. Create a buildspec.yml file in the CodeCommit repository. In the buildspec.yml file, define the actions to run the unit tests with an output of JUNITXML in the build phase section. Configure the test reports to be uploaded to the new CodeBuild report group.

Create a new AWS CodeArtifact repository. Create a new AWS CodeBuild project. In the CodePipeline pipeline, configure a test stage that uses the new CodeBuild project. Create an appspec.yml file in the original CodeCommit repository. In the appspec.yml file, define the actions to run the unit tests with an output of CUCUMBERJSON in the build phase section. Configure the tests reports to be sent to the new CodeArtifact repository.

Create a new AWS CodeBuild project. In the CodePipeline pipeline, configure a test stage that uses the new CodeBuild project. Create a new Amazon S3 bucket. Create a buildspec.yml file in the CodeCommit repository. In the buildspec.yml file, define the actions to run the unit tests with an output of HTML in the phases section. In the reports section, upload the test reports to the S3 bucket.

Question 83

A company uses an organization in AWS Organizations to manage 10 AWS accounts. All features are enabled, and trusted access for AWS CloudFormation is enabled.

A DevOps engineer needs to use CloudFormation to deploy an IAM role to the Organizations management account and all member accounts in the organization.

Which solution will meet these requirements with the LEAST operational overhead?

Options:

Create a CloudFormation StackSet that has service-managed permissions. Set the root OU as a deployment target.

Create a CloudFormation StackSet that has service-managed permissions. Set the root OU as a deployment target. Deploy a separate CloudFormation stack in the Organizations management account.

Create a CloudFormation StackSet that has self-managed permissions. Set the root OU as a deployment target.

Create a CloudFormation StackSet that has self-managed permissions. Set the root OU as a deployment target. Deploy a separate CloudFormation stack in the Organizations management account.

Question 84

A company uses AWS Organizations to manage its AWS accounts. A DevOps engineer must ensure that all users who access the AWS Management Console are authenticated through the company ' s corporate identity provider (IdP).

Which combination of steps will meet these requirements? (Select TWO.)

Options:

Use Amazon GuardDuty with a delegated administrator account. Use GuardDuty to enforce denial of 1AM user logins

Use AWS 1AM Identity Center to configure identity federation with SAML 2.0.

Create a permissions boundary in AWS 1AM Identity Center to deny password logins for 1AM users.

Create 1AM groups in the Organizations management account to apply consistent permissions for all 1AM users.

Create an SCP in Organizations to deny password creation for 1AM users.

Question 85

A company wants to use AWS CloudFormation for infrastructure deployment. The company has strict tagging and resource requirements and wants to limit the deployment to two Regions. Developers will need to deploy multiple versions of the same application.

Which solution ensures resources are deployed in accordance with company policy?

Options:

Create AWS Trusted Advisor checks to find and remediate unapproved CloudFormation StackSets.

Create a Cloud Formation drift detection operation to find and remediate unapproved CloudFormation StackSets.

Create CloudFormation StackSets with approved CloudFormation templates.

Create AWS Service Catalog products with approved CloudFormation templates.

Question 86

A company requires its internal business teams to launch resources through pre-approved AWS CloudFormation templates only. The security team requires automated monitoring when resources drift from their expected state.

Which strategy should be used to meet these requirements?

Options:

Allow users to deploy CloudFormation stacks using a CloudFormation service role only. Use CloudFormation drift detection to detect when resources have drifted from their expected state.

Allow users to deploy CloudFormation stacks using a CloudFormation service role only. Use AWS Config rules to detect when resources have drifted from their expected state.

Allow users to deploy CloudFormation stacks using AWS Service Catalog only. Enforce the use of a launch constraint. Use AWS Config rules to detect when resources have drifted from their expected state.

Allow users to deploy CloudFormation stacks using AWS Service Catalog only. Enforce the use of a template constraint. Use Amazon EventBridge notifications to detect when resources have drifted from their expected state.

Answer:

Explanation:

The correct answer is C. Allowing users to deploy CloudFormation stacks using AWS Service Catalog only and enforcing the use of a launch constraint is the best way to ensure that the internal business teams launch resources through pre-approved CloudFormation templates only. AWS Service Catalog is a service that enables organizations to create and manage catalogs of IT services that are approved for use on AWS. A launch constraint is a rule that specifies the role that AWS Service Catalog assumes when launching a product. By using a launch constraint, the DevOps engineer can control the permissions that the users have when launching a product. Using AWS Config rules to detect when resources have drifted from their expected state is the best way to automate the monitoring of the resources. AWS Config is a service that enables you to assess, audit, and evaluate the configurations of your AWS resources. AWS Config rules are custom or managed rules that AWS Config uses to evaluate whether your AWS resources comply with your desired configurations. By using AWS Config rules, the DevOps engineer can track the changes in the resources and identify any non-compliant resources.

Option A is incorrect because allowing users to deploy CloudFormation stacks using a CloudFormation service role only is not the best way to ensure that the internal business teams launch resources through pre-approved CloudFormation templates only. A CloudFormation service role is an IAM role that CloudFormation assumes to create, update, or delete the stack resources. By using a CloudFormation service role, the DevOps engineer can control the permissions that CloudFormation has when acting on the resources, but not the permissions that the users have when launching a stack. Therefore, option A does not prevent the users from launching resources that are not approved by the company. Using CloudFormation drift detection to detect when resources have drifted from their expected state is a valid way to monitor the resources, but it is not as automated and scalable as using AWS Config rules. CloudFormation drift detection is a feature that enables you to detect whether a stack’s actual configuration differs, or has drifted, from its expected configuration. To use this feature, the DevOps engineer would need to manually initiate a drift detection operation on the stack or the stack resources, and then view the drift status and details in the CloudFormation console or API.

Option B is incorrect because allowing users to deploy CloudFormation stacks using a CloudFormation service role only is not the best way to ensure that the internal business teams launch resources through pre-approved CloudFormation templates only, as explained in option A. Using AWS Config rules to detect when resources have drifted from their expected state is a valid way to monitor the resources, as explained in option C.

Option D is incorrect because enforcing the use of a template constraint is not the best way to ensure that the internal business teams launch resources through pre-approved CloudFormation templates only. A template constraint is a rule that defines the values or properties that users can specify when launching a product. By using a template constraint, the DevOps engineer can control the parameters that the users can provide when launching a product, but not the permissions that the users have when launching a product. Therefore, option D does not prevent the users from launching resources that are not approved by the company. Using Amazon EventBridge notifications to detect when resources have drifted from their expected state is a less reliable and consistent solution than using AWS Config rules. Amazon EventBridge is a service that enables you to connect your applications with data from a variety of sources. Amazon EventBridge can deliver a stream of real-time data from event sources, such as AWS services, and route that data to targets, such as AWS Lambda functions. However, to use this solution, the DevOps engineer would need to configure the event source, the event bus, the event rule, and the event target for each resource type that needs to be monitored, which is more complex and error-prone than using AWS Config rules.

Question 87

A company uses an organization in AWS Organizations to manage multiple AWS accounts. The company needs a solution to detect sensitive information in Amazon S3 buckets in all the company’s accounts. When the solution detects sensitive data, the solution must collect all the findings and make them available to the company’s security officer in a single location. The solution must move S3 objects that contain sensitive information to a quarantine S3 bucket.

Which solutions will meet these requirements with the LEAST operational overhead? (Select TWO.)

Options:

Enable AWS Security Hub in the organization. Enable Amazon Macie for all the accounts in the organization. Configure Macie to send findings to Security Hub.

Create an AWS Service Catalog product to provision S3 buckets. Configure Service Catalog to create a new S3 bucket. Configure S3 Event Notifications to send ObjectCreated events to an Amazon Simple Queue Service (Amazon SQS) queue.

Create an AWS Lambda function to copy S3 objects from S3 buckets to a dedicated quarantine bucket. Configure the Lambda function to delete copied objects from the original buckets. Configure an Amazon EventBridge rule to invoke the Lambda function in response to sensitive information findings from Amazon Macie.

Configure an AWS Lambda function to run when new objects are created or when existing objects are updated. Configure the Lambda function to determine whether objects contain sensitive data. Configure the function to move objects that contain sensitive data to a quarantine bucket and to delete the original objects.

Configure SCPs to prevent the creation of S3 buckets and objects that contain suspected sensitive data. Configure the SCPs to move objects that are suspected to contain sensitive data to a dedicated quarantine S3 bucket.

Question 88

A company manages an application that stores logs in Amazon CloudWatch Logs. The company wants to archive the logs to an Amazon S3 bucket Logs are rarely accessed after 90 days and must be retained tor 10 years.

Which combination of steps should a DevOps engineer take to meet these requirements? (Select TWO.)

Options:

Configure a CloudWatch Logs subscription filter to use AWS Glue to transfer all logs to an S3 bucket.

Configure a CloudWatch Logs subscription filter to use Amazon Kinesis Data Firehose to stream all logs to an S3 bucket.

Configure a CloudWatch Logs subscription fitter to stream all logs to an S3 bucket.

Configure the S3 bucket lifecycle policy to transition logs to S3 Glacier after 90 days and to expire logs after 3.650 days.

Configure the S3 bucket lifecycle policy to transition logs to Reduced Redundancy after 90 days and to expire logs after 3.650 days.

Question 89

A DevOps engineer notices that all Amazon EC2 instances running behind an Application Load Balancer in an Auto Scaling group are failing to respond to user requests. The EC2 instances are also failing target group HTTP health checks

Upon inspection, the engineer notices the application process was not running in any EC2 instances. There are a significant number of out of memory messages in the system logs. The engineer needs to improve the resilience of the application to cope with a potential application memory leak. Monitoring and notifications should be enabled to alert when there is an issue

Which combination of actions will meet these requirements? (Select TWO.)

Options:

Change the Auto Scaling configuration to replace the instances when they fail the load balancer ' s health checks.

Change the target group health check HealthChecklntervalSeconds parameter to reduce the interval between health checks.

Change the target group health checks from HTTP to TCP to check if the port where the application is listening is reachable.

Enable the available memory consumption metric within the Amazon CloudWatch dashboard for the entire Auto Scaling group Create an alarm when the memory utilization is high Associate an Amazon SNS topic to the alarm to receive notifications when the alarm goes off

Use the Amazon CloudWatch agent to collect the memory utilization of the EC2 instances in the Auto Scaling group Create an alarm when the memory utilization is high and associate an Amazon SNS topic to receive a notification.

Question 90

A company uses AWS Lambda functions in the primary operating AWS Region of its AWS account. The company manually created the Lambda functions.

The company needs to use a Python-based AWS Cloud Development Kit (AWS CDK) application to manage the Lambda functions.

Which solution meets these requirements with the LEAST implementation effort?

Options:

Start a partial scan by using the AWS CloudFormation IaC generator. Filter by the Lambda resource type. Create an AWS CDK app from the scanned resources.

Start a partial scan by using the AWS CloudFormation IaC generator. Filter by the Lambda resource type. Create a CloudFormation template from the scanned resources. Convert the template to an AWS CDK app.

Start a partial scan by using the AWS CloudFormation IaC generator. Filter by the Lambda resource type. Create a CloudFormation template. Replace the code properties, then convert the template to an AWS CDK app.

Create a resource inventory by using AWS Config. Filter by the Lambda resource type. Export the inventory to a .csv file. Write an AWS CDK app that references the Lambda functions from the .csv file.

Question 91

A company is using AWS Organizations to create separate AWS accounts for each of its departments The company needs to automate the following tasks

• Update the Linux AMIs with new patches periodically and generate a golden image

• Install a new version to Chef agents in the golden image, is available

• Provide the newly generated AMIs to the department ' s accounts

Which solution meets these requirements with the LEAST management overhead ' ?

Options:

Write a script to launch an Amazon EC2 instance from the previous golden image Apply the patch updates Install the new version of the Chef agent, generate a new golden image, and then modify the AMI permissions to share only the new image with the department ' s accounts.

Use Amazon EC2 Image Builder to create an image pipeline that consists of the base Linux AMI and components to install the Chef agent Use AWS Resource Access Manager to share EC2 Image Builder images with the department ' s accounts

Use an AWS Systems Manager Automation runbook to update the Linux AMI by using the previous image Provide the URL for the script that will update the Chef agent Use AWS Organizations to replace the previous golden image in the department ' s accounts.

Use Amazon EC2 Image Builder to create an image pipeline that consists of the base Linux AMI and components to install the Chef agent Create a parameter in AWS Systems Manager Parameter Store to store the new AMI ID that can be referenced by the department ' s accounts

Question 92

A company has multiple accounts in an organization in AWS Organizations. The company ' s SecOps team needs to receive an Amazon Simple Notification Service (Amazon SNS) notification if any account in the organization turns off the Block Public Access feature on an Amazon S3 bucket. A DevOps engineer must implement this change without affecting the operation of any AWS accounts. The implementation must ensure that individual member accounts in the organization cannot turn off the notification.

Which solution will meet these requirements?

Options:

Designate an account to be the delegated Amazon GuardDuty administrator account. Turn on GuardDuty for all accounts across the organization. In the GuardDuty administrator account, create an SNS topic. Subscribe the SecOps team ' s email address to the SNS topic. In the same account, create an Amazon EventBridge rule that uses an event pattern for GuardDuty findings and a target of the SNS topic.

Create an AWS CloudFormation template that creates an SNS topic and subscribes the SecOps team’s email address to the SNS topic. In the template, include an Amazon EventBridge rule that uses an event pattern of CloudTrail activity for s3:PutBucketPublicAccessBlock and a target of the SNS topic. Deploy the stack to every account in the organization by using CloudFormation StackSets.

Turn on AWS Config across the organization. In the delegated administrator account, create an SNS topic. Subscribe the SecOps team ' s email address to the SNS topic. Deploy a conformance pack that uses the s3-bucket-level-public-access-prohibited AWS Config managed rule in each account and uses an AWS Systems Manager document to publish an event to the SNS topic to notify the SecOps team.

Turn on Amazon Inspector across the organization. In the Amazon Inspector delegated administrator account, create an SNS topic. Subscribe the SecOps team’s email address to the SNS topic. In the same account, create an Amazon EventBridge rule that uses an event pattern for public network exposure of the S3 bucket and publishes an event to the SNS topic to notify the SecOps team.

Question 93

A company uses a trunk-based development branching strategy. The company has two AWS CodePipeline pipelines that are integrated with a Git provider. The pull_request pipeline has a branch filter that matches the feature branches. The main_branch pipeline has a branch filter that matches the main branch.

When pull requests are merged into the main branch, the pull requests are deployed by using the main_branch pipeline. The company ' s developers need test results for all submitted pull requests as quickly as possible from the pull_request pipeline. The company wants to ensure that the main_branch pipeline ' s test results finish and that each deployment is complete before the next pipeline execution.

Which solution will meet these requirements?

Options:

Configure the pull_request pipeline to use SUPERSEDED mode. Configure the main_branch pipeline to use QUEUED mode.

Configure the pull_request pipeline to use PARALLEL mode. Configure the main_branch pipeline to use QUEUED mode.

Configure the pull_request pipeline to use PARALLEL mode. Configure the main_branch pipeline to use SUPERSEDED mode.

Configure the pull_request pipeline to use QUEUED mode. Configure the main_branch pipeline to use SUPERSEDED mode.

Question 94

A company wants to set up a continuous delivery pipeline. The company stores application code in a private GitHub repository. The company needs to deploy the application components to Amazon Elastic Container Service (Amazon ECS). Amazon EC2, and AWS Lambda. The pipeline must support manual approval actions.

Which solution will meet these requirements?

Options:

Use AWS CodePipeline with Amazon ECS. Amazon EC2, and Lambda as deploy providers.

Use AWS CodePipeline with AWS CodeDeploy as the deploy provider.

Use AWS CodePipeline with AWS Elastic Beanstalk as the deploy provider.

Use AWS CodeDeploy with GitHub integration to deploy the application.

Question 95

A company is migrating from its on-premises data center to AWS. The company currently uses a custom on-premises CI/CD pipeline solution to build and package software.

The company wants its software packages and dependent public repositories to be available in AWS CodeArtifact to facilitate the creation of application-specific pipelines.

Which combination of steps should the company take to update the CI/CD pipeline solution and to configure CodeArtifact with the LEAST operational overhead? (Select TWO.)

Options:

Update the CI/CD pipeline to create a VM image that contains newly packaged software Use AWS Import/Export to make the VM image available as anAmazon EC2 AMI. Launch the AMI with an attached 1AM instance profile that allows CodeArtifact actions. Use AWS CLI commands to publish the packages to a CodeArtifact repository.

Create an AWS Identity and Access Management Roles Anywhere trust anchor Create an 1AM role that allows CodeArtifact actions and that has a trust relationship on the trust anchor. Update the on-premises CI/CD pipeline to assume the new 1AM role and to publish the packages to CodeArtifact.

Create a new Amazon S3 bucket. Generate a presigned URL that allows the PutObject request. Update the on-premises CI/CD pipeline to use thepresigned URL to publish the packages from the on-premises location to the S3 bucket. Create an AWS Lambda function that runs when packages are created in the bucket through a put command Configure the Lambda function to publish the packages to CodeArtifact

For each public repository, create a CodeArtifact repository that is configured with an external connection Configure the dependent repositories as upstream public repositories.

Create a CodeArtifact repository that is configured with a set of external connections to the public repositories. Configure the external connections to be downstream of the repository

Question 96

A company runs a fleet of Amazon EC2 instances in a VPC. The company ' s employees remotely access the EC2 instances by using the Remote Desktop Protocol (RDP). The company wants to collect metrics about how many RDP sessions the employees initiate every day. Which combination of steps will meet this requirement? (Select THREE.)

Options:

Create an Amazon EventBridge rule that reacts to EC2 Instance State-change Notification events.

Create an Amazon CloudWatch Logs log group. Specify the log group as a target for the EventBridge rule.

Create a flow log in VPC Flow Logs.

Create an Amazon CloudWatch Logs log group. Specify the log group as a destination for the flow log.

Create a log group metric filter.

Create a log group subscription filter. Use EventBridge as the destination.

Question 97

A company has an application that runs on a fleet of Amazon EC2 instances. The application requires frequent restarts. The application logs contain error messages when a restart is required. The application logs are published to a log group in Amazon CloudWatch Logs.

An Amazon CloudWatch alarm notifies an application engineer through an Amazon Simple Notification Service (Amazon SNS) topic when the logs contain a large number of restart-related error messages. The application engineer manually restarts the application on the instances after the application engineer receives a notification from the SNS topic.

A DevOps engineer needs to implement a solution to automate the application restart on the instances without restarting the instances.

Which solution will meet these requirements in the MOST operationally efficient manner?

Options:

Configure an AWS Systems Manager Automation runbook that runs a script to restart the application on the instances. Configure the SNS topic to invoke the runbook.

Create an AWS Lambda function that restarts the application on the instances. Configure the Lambda function as an event destination of the SNS topic.

Configure an AWS Systems Manager Automation runbook that runs a script to restart the application on the instances. Create an AWS Lambda function to invoke the runbook. Configure the Lambda function as an event destination of the SNS topic.

Configure an AWS Systems Manager Automation runbook that runs a script to restart the application on the instances. Configure an Amazon EventBridge rule that reacts when the CloudWatch alarm enters ALARM state. Specify the runbook as a target of the rule.

Question 98

A company uses AWS Control Tower and Organizations for a multi-account environment. It needs to create new accounts and ensure they receive a consistent baseline configuration.

Which solution meets the requirement with the least overhead?

Options:

Use Account Factory Customization (AFC) blueprints for baseline setup.

Use Account Factory + StackSets post-setup.

Use Organizations with Lambda applying baseline via access role.

Use Organizations + StackSets manually.

Question 99

A company is implementing a standardized security baseline across its AWS accounts. The accounts are in an organization in AWS Organizations. The company must deploy consistent IAM roles and policies across all existing and future accounts in the organization. Which solution will meet these requirements with the MOST operational efficiency?

Options:

Enable AWS Control Tower in the management account. Configure AWS Control Tower Account Factory customization to deploy the required IAM roles and policies to all accounts.

Activate trusted access for AWS CloudFormation StackSets in Organizations. In the management account, create a stack set that has service-managed permissions to deploy the required IAM roles and policies to all accounts. Enable automatic deployment for the stack set.

In each member account, create IAM roles that have permissions to create and manage resources. In the management account, create an AWS CloudFormation stack set that has self-managed permissions to deploy the required IAM roles and policies to all accounts. Enable automatic deployment for the stack set.

In the management account, create an AWS CodePipeline pipeline. Configure the pipeline to use AWS CloudFormation to automate the deployment of the required IAM roles and policies. Set up cross-account IAM roles to allow CodePipeline to deploy resources in the member accounts.

Question 100

A company requires all employees to access secrets via Systems Manager Parameter Store with rotation every 60 days.

The company must add a new secret for an Amazon ElastiCache Redis cluster.

Which solution meets these requirements with the LEAST operational overhead?

Options:

Create the secret in Secrets Manager with managed rotation (60 days). Reference via Parameter Store path.

Create the secret in Parameter Store with automatic rotation (unsupported).

Create the secret in Parameter Store and Lambda rotation (manual).

Create the secret in Secrets Manager with Lambda rotation using Redis rotation template and 60-day schedule. Reference via Parameter Store path.

Question 101

A company uses a CI/CD pipeline to deploy its workload in the ap-southeast-2 Region. The company receives images through a Network Load Balancer (NLB) and processes the images in AWS Fargate tasks on an Amazon ECS cluster. An Amazon ECR repository stores the images as Docker images. The company uses Route 53 for DNS. The company saves the images in an S3 bucket and metadata in DynamoDB. The company wants to expand to eu-west-2 with high availability and resilience.

Which combination of steps will meet these requirements with the FEWEST configuration changes? (Select THREE).

Options:

Configure ECR replication to eu-west-2 on the repository. Configure an NLB in eu-west-2 that resolves to Fargate tasks in an ECS cluster in eu-west-2. Configure a latency routing policy in Route 53 for the two workloads.

Configure the DynamoDB table as a global table with a replica in eu-west-2. Configure the Fargate tasks to interact with the DynamoDB table in ap-southeast-2.

Configure the DynamoDB table as a global table with a replica in eu-west-2. Configure the Fargate tasks to interact with the DynamoDB table in the same Region that the tasks run in.

Configure a new S3 bucket in eu-west-2. Configure data replication between the S3 bucket in ap-southeast-2 and the S3 bucket in eu-west-2. Configure the Fargate tasks to use the S3 bucket in the same Region that the tasks run in to perform S3 PUT and GET operations.

Configure an S3 Multi-Region Access Point for the S3 bucket in ap-southeast-2 and a new S3 bucket in eu-west-2. Configure two-way replication on the S3 buckets. Configure the workloads to use the Multi-Region Access Point for S3 PUT and GET operations.

Configure the CI/CD pipeline to deploy ECR images to both Regions. Configure an NLB in eu-west-2 that resolves to Fargate tasks in an ECS cluster in eu-west-2. Configure a failover routing policy in Route 53 for the two workloads.

Question 102

A company requires an RPO of 2 hours and an RTO of 10 minutes for its data and application at all times. An application uses a MySQL database and Amazon EC2 web servers. The development team needs a strategy for failover and disaster recovery.

Which combination of deployment strategies will meet these requirements? (Select TWO.)

Options:

Create an Amazon Aurora cluster in one Availability Zone across multiple Regions as the data store Use Aurora ' s automatic recovery capabilities in the event of a disaster

Create an Amazon Aurora global database in two Regions as the data store. In the event of a failure promote the secondary Region as the primary for the application.

Create an Amazon Aurora multi-master cluster across multiple Regions as the data store. Use a Network Load Balancer to balance the database traffic in different Regions.

Set up the application in two Regions and use Amazon Route 53 failover-based routing that points to the Application Load Balancers in both Regions. Use hearth checks to determine the availability in a given Region. Use Auto Scaling groups in each Region to adjust capacity based on demand.

Set up the application m two Regions and use a multi-Region Auto Scaling group behind Application Load Balancers to manage the capacity based on demand. In the event of a disaster adjust the Auto Scaling group ' s desired instance count to increase baseline capacity in the failover Region.

Question 103

A company is implementing an Amazon Elastic Container Service (Amazon ECS) cluster to run its workload. The company architecture will run multiple ECS services on the cluster. The architecture includes an Application Load Balancer on the front end and uses multiple target groups to route traffic.

A DevOps engineer must collect application and access logs. The DevOps engineer then needs to send the logs to an Amazon S3 bucket for near-real-time analysis.

Which combination of steps must the DevOps engineer take to meet these requirements? (Choose three.)

Options:

Download the Amazon CloudWatch Logs container instance from AWS. Configure this instance as a task. Update the application service definitions to include the logging task.

Install the Amazon CloudWatch Logs agent on the ECS instances. Change the logging driver in the ECS task definition to awslogs.

Use Amazon EventBridge to schedule an AWS Lambda function that will run every 60 seconds and will run the Amazon CloudWatch Logs create-export-task command. Then point the output to the logging S3 bucket.

Activate access logging on the ALB. Then point the ALB directly to the logging S3 bucket.

Activate access logging on the target groups that the ECS services use. Then send the logs directly to the logging S3 bucket.

Create an Amazon Kinesis Data Firehose delivery stream that has a destination of the logging S3 bucket. Then create an Amazon CloudWatch Logs subscription filter for Kinesis Data Firehose.

Question 104

A company uses an organization in AWS Organizations that has all features enabled. The company uses AWS Backup in a primary account and uses an AWS Key Management Service (AWS KMS) key to encrypt the backups.

The company needs to automate a cross-account backup of the resources that AWS Backup backs up in the primary account. The company configures cross-account backup in the Organizations management account. The company creates a new AWS account in the organization and configures an AWS Backup backup vault in the new account. The company creates a KMS key in the new account to encrypt the backups. Finally, the company configures a new backup plan in the primary account. The destination for the new backup plan is the backup vault in the new account.

When the AWS Backup job in the primary account is invoked, the job creates backups in the primary account. However, the backups are not copied to the new account ' s backup vault.

Which combination of steps must the company take so that backups can be copied to the new account ' s backup vault? (Select TWO.)

Options:

Edit the backup vault access policy in the new account to allow access to the primary account.

Edit the backup vault access policy in the primary account to allow access to the new account.

Edit the backup vault access policy in the primary account to allow access to the KMS key in the new account.

Edit the key policy of the KMS key in the primary account to share the key with the new account.

Edit the key policy of the KMS key in the new account to share the key with the primary account.

Question 105

A company is migrating its product development teams from an on-premises data center to a hybrid environment. The new environment will add four AWS Regions and will give the developers the ability to use the Region that is geographically closest to them.

All the development teams use a shared set of Linux applications. The on-premises data center stores the applications on a NetApp ONTAP storage device. The storage volume is mounted read-only on the development on-premises VMs. The company updates the applications on the shared volume once a week.

A DevOps engineer needs to replicate the data to all the new Regions. The DevOps engineer must ensure that the data is always up to date with deduplication. The data also must not be dependent on the availability of the on-premises storage device.

Which solution will meet these requirements?

Options:

Create an Amazon S3 File Gateway in the on-premises data center. Create S3 buckets in each Region. Set up a cron job to copy the data from the storage device to the S3 File Gateway. Set up S3 Cross-Region Replication (CRR) to the S3 buckets in each Region.

Create an Amazon FSx File Gateway in one Region. Create file servers in Amazon FSx for Windows File Server in each Region. Set up a cron job to copy the data from the storage device to the FSx File Gateway.

Create Multi-AZ Amazon FSx for NetApp ONTAP instances and volumes in each Region. Configure a scheduled SnapMirror relationship between the on-premises storage device and the FSx for ONTAP instances.

Create an Amazon Elastic File System (Amazon EFS) file system in each Region. Deploy an AWS DataSync agent in the on-premises data center. Configure a schedule for DataSync to copy the data to Amazon EFS daily.

Question 106

A company needs to update its order processing application to improve resilience and availability. The application requires a stateful database and uses a single-node Amazon RDS DB instance to store customer orders and transaction history. A DevOps engineer must make the database highly available.

Which solution will meet this requirement?

Options:

Migrate the database to Amazon DynamoDB global tables. Configure automatic failover between AWS Regions by using Amazon Route 53 health checks.

Migrate the database to Amazon EC2 instances in multiple Availability Zones. Use Amazon Elastic Block Store (Amazon EBS) Mult-Attach to connect all the instances to a single EBS volume.

Use the RDS DB instance as the source instance to create read replicas in multiple Availability Zones. Deploy an Application Load Balancer to distribute read traffic across the read replicas.

Modify the RDS DB instance to be a Multi-AZ deployment. Verify automatic failover to the standby instance if the primary instance becomes unavailable.

Question 107

A company uses an organization in AWS Organizations that has all features enabled to manage multiple AWS accounts. The company has enabled AWS Config in all accounts. The company requires developers to create AWS CloudFormation stacks in a new AWS account to test features for a new application that the developers are building.

The company wants to ensure that the developers can use only approved Amazon EC2 instance types for the application.

Which solution will meet these requirements?

Options:

Create an AWS Lambda function that returns SUCCESS when the EC2 instance type property matches a value from a list of approved instance types. Activate a CloudFormation Guard Hook in the new AWS account to run the Lambda function.

Create an AWS Config rule that uses the desired-instance-type rule in the new AWS account. Provide the list of approved instance types in the rule configuration. Create a remediation for the AWS Config rule that uses the AWS-StopEC2Instance remediation action.

Create an SCP that includes a Deny effect for ec2:RunInstances when the ec2:InstanceType property does not match a value from a list of approved instance types. Attach the SCP to the root of the organization.

Create a CloudFormation Guard rule to ensure that the EC2 instance type matches a value from a list of approved instance types. Activate a Guard Hook in the new AWS account to run the Guard rule.

Question 108

A company has an RPO of 24 hours and an RTO of 10 minutes for a critical web application that runs on Amazon EC2 instances. The company uses AWS Organizations to manage its AWS account. The company wants to set up AWS Backup for its AWS environment.

A DevOps engineer configures AWS Organizations for AWS Backup. The DevOps engineer creates a new centralized AWS account to store the backups. Each EC2 instance has four Amazon Elastic Block Store (Amazon EBS) volumes attached.

Which solution will meet this requirement MOST securely?

Options:

Create encrypted backup vaults and customer managed AWS KMS keys in both accounts. Configure AWS Backup to create full EC2 backups as AMIs. Copy the backups to the centralized vault.

Create encrypted vaults in both accounts by using the source account ' s AWS KMS key. Configure AWS Backup to create EC2 AMIs. Copy the AMIs to the centralized vault.

Create backup vaults in both accounts. Use AWS managed keys for encryption. Configure AWS Backup to create EC2 AMIs. Copy the AMIs to the centralized vault.

Create encrypted vaults in both accounts. Use a customer managed KMS key in the source account. Use an AWS managed key in the centralized account. Configure AWS Backup to create EC2 AMIs. Copy the AMIs to the centralized vault.

Question 109

A company is developing an application that will generate log events. The log events consist of five distinct metrics every one tenth of a second and produce a large amount of data The company needs to configure the application to write the logs to Amazon Time stream The company will configure a daily query against the Timestream table.

Which combination of steps will meet these requirements with the FASTEST query performance? (Select THREE.)

Options:

Use batch writes to write multiple log events in a Single write operation

Write each log event as a single write operation

Treat each log as a single-measure record

Treat each log as a multi-measure record

Configure the memory store retention period to be longer than the magnetic store retention period

Configure the memory store retention period to be shorter than the magnetic store retention period

Answer:

A, D, F

Explanation:

Option A is correct because using batch writes to write multiple log events in a single write operation is a recommended practice for optimizing the performance and cost of data ingestion in Timestream. Batch writes can reduce the number of network round trips and API calls, and can also take advantage of parallel processing by Timestream. Batch writes can also improve the compression ratio of data in the memory store and the magnetic store, which can reduce the storage costs and improve the query performance1.

Option B is incorrect because writing each log event as a single write operation is not a recommended practice for optimizing the performance and cost of data ingestion in Timestream. Writing each log event as a single write operation would increase the number of network round trips and API calls, and would also reduce the compression ratio of data in the memory store and the magnetic store. This would increase the storage costs and degrade the query performance1.

Option C is incorrect because treating each log as a single-measure record is not a recommended practice for optimizing the query performance in Timestream. Treating each log as a single-measure record would result in creating multiple records for each timestamp, which would increase the storage size and the query latency. Moreover, treating each log as a single-measure record would require using joins to query multiple measures for the same timestamp, which would add complexity and overhead to the query processing2.

Option D is correct because treating each log as a multi-measure record is a recommended practice for optimizing the query performance in Timestream. Treating each log as a multi-measure record would result in creating a single record for each timestamp, which would reduce the storage size and the query latency. Moreover, treating each log as a multi-measure record would allow querying multiple measures for the same timestamp without using joins, which would simplify and speed up the query processing2.

Option E is incorrect because configuring the memory store retention period to be longer than the magnetic store retention period is not a valid option in Timestream. The memory store retention period must always be shorter than or equal to the magnetic store retention period. This ensures that data is moved from the memory store to the magnetic store before it expires out of the memory store3.

Option F is correct because configuring the memory store retention period to be shorter than the magnetic store retention period is a valid option in Timestream. The memory store retention period determines how long data is kept in the memory store, which is optimized for fast point-in-time queries. The magnetic store retention period determines how long data is kept in the magnetic store, which is optimized for fast analytical queries. By configuring these retention periods appropriately, you can balance your storage costs and query performance according to your application needs3.

[References:, 1: Batch writes, 2: Multi-measure records vs. single-measure records, 3: Storage, , , , , ]

Question 110

A company has an application that runs on Amazon EC2 instances in an Auto Scaling group. The application processes a high volume of messages from an Amazon Simple Queue Service (Amazon SQS) queue.

A DevOps engineer noticed that the application took several hours to process a group of messages from the SQS queue. The average CPU utilization of the Auto Scaling group did not cross the threshold of a target tracking scaling policy when processing the messages. The application that processes the SQS queue publishes logs to Amazon CloudWatch Logs.

The DevOps engineer needs to ensure that the queue is processed quickly.

Which solution meets these requirements with the LEAST operational overhead?

Options:

Create an AWS Lambda function. Configure the Lambda function to publish a custom metric by using the ApproximateNumberOfMessagesVisible SQS queue attribute and the GroupIn-ServiceInstances Auto Scaling group attribute to publish the queue messages for each instance. Schedule an Amazon EventBridge rule to run the Lambda function every hour. Create a target tracking scaling policy for the Auto Scaling group that uses the custom metric to scal

Create an AWS Lambda function. Configure the Lambda function to publish a custom metric by using the ApproximateNumberOfMessagesVisible SQS queue attribute and the GroupIn-ServiceInstances Auto Scaling group attribute to publish the queue messages for each instance. Create a CloudWatch subscription filter for the application logs with the Lambda function as the target. Create a target tracking scaling policy for the Auto Scaling group that

Create a target tracking scaling policy for the Auto Scaling group. In the target tracking policy, use the ApproximateNumberOfMessagesVisible SQS queue attribute and the GroupIn-ServiceInstances Auto Scaling group attribute to calculate how many messages are in the queue for each number of instances by using metric math. Use the calculated attribute to scale in and out.

Create an AWS Lambda function that logs the ApproximateNumberOfMessagesVisible attribute of the SQS queue to a CloudWatch Logs log group. Schedule an Amazon EventBridge rule to run the Lambda function every 5 minutes. Create a metric filter to count the number of log events from a CloudWatch logs group. Create a target tracking scaling policy for the Auto Scaling group that uses the custom metric to scale in and out.

Question 111

A company has an AWS CodePipeline pipeline that is configured with an Amazon S3 bucket in the eu-west-1 Region. The pipeline deploys an AWS Lambda application to the same Region. The pipeline consists of an AWS CodeBuild project build action and an AWS CloudFormation deploy action.

The CodeBuild project uses the aws cloudformation package AWS CLI command to build an artifact that contains the Lambda function code’s .zip file and the CloudFormation template. The CloudFormation deploy action references the CloudFormation template from the output artifact of the CodeBuild project’s build action.

The company wants to also deploy the Lambda application to the us-east-1 Region by using the pipeline in eu-west-1. A DevOps engineer has already updated the CodeBuild project to use the aws cloudformation package command to produce an additional output artifact for us-east-1.

Which combination of additional steps should the DevOps engineer take to meet these requirements? (Choose two.)

Options:

Modify the CloudFormation template to include a parameter for the Lambda function code’s zip file location. Create a new CloudFormation deploy action for us-east-1 in the pipeline. Configure the new deploy action to pass in the us-east-1 artifact location as a parameter override.

Create a new CloudFormation deploy action for us-east-1 in the pipeline. Configure the new deploy action to use the CloudFormation template from the us-east-1 output artifact.

Create an S3 bucket in us-east-1. Configure the S3 bucket policy to allow CodePipeline to have read and write access.

Create an S3 bucket in us-east-1. Configure S3 Cross-Region Replication (CRR) from the S3 bucket in eu-west-1 to the S3 bucket in us-east-1.

Modify the pipeline to include the S3 bucket for us-east-1 as an artifact store. Create a new CloudFormation deploy action for us-east-1 in the pipeline. Configure the new deploy action to use the CloudFormation template from the us-east-1 output artifact.

Question 112

A company wants to decrease the time it takes to develop new features. The company uses AWS CodeBuild and AWS CodeDeploy to build and deploy its applications. The company uses AWS CodePipeline to deploy each microservice with its own CI/CD pipeline. The company needs more visibility into the average time between the release of new features and the average time to recover after a failed deployment. Which solution will provide this visibility with the LEAST configuration effort?

Options:

Program an AWS Lambda function that creates Amazon CloudWatch custom metrics with information about successful runs and failed runs for each pipeline. Create an Amazon EventBridge rule to invoke the Lambda function every 5 minutes. Use the metrics to build a CloudWatch dashboard.

Program an AWS Lambda function that creates Amazon CloudWatch custom metrics with information about successful runs and failed runs for each pipeline. Create an Amazon EventBridge rule to invoke the Lambda function after every successful run and after every failed run. Use the metrics to build a CloudWatch dashboard.

Program an AWS Lambda function that writes information about successful runs and failed runs to Amazon DynamoDB. Create an Amazon EventBridge rule to invoke the Lambda function after every successful run and after every failed run. Build an Amazon QuickSight dashboard to show the information from DynamoDB.

Program an AWS Lambda function that writes information about successful runs and failed runs to Amazon DynamoDB. Create an Amazon EventBridge rule to invoke the Lambda function every 5 minutes. Build an Amazon QuickSight dashboard to show the information from DynamoDB.

Question 113

A company streams logs to CloudWatch Logs. Logs must be searchable for 30 days, low-latency accessible for 90 days, and occasionally retrieved after 180 days.

Which solution is MOST cost-effective?

Options:

Configure log retention of 30 days and export to S3 via Kinesis Data Streams. Use S3 Lifecycle policies.

Configure retention of 30 days and stream to S3 via Kinesis Data Firehose. Transition to S3 One Zone-IA and Glacier Flexible Retrieval.

Configure retention of 30 days and stream via Kinesis Data Streams, then store in S3 Standard-IA and Glacier Instant Retrieval.

Configure retention of 30 days and stream via Kinesis Data Firehose to S3. Transition to S3 Standard-IA (90 days) and Glacier Deep Archive (180 days).

Question 114

A company uses AWS CodePipeline pipelines to automate releases of its application A typical pipeline consists of three stages build, test, and deployment. The company has been using a separate AWS CodeBuild project to run scripts for each stage. However, the company now wants to use AWS CodeDeploy to handle the deployment stage of the pipelines.

The company has packaged the application as an RPM package and must deploy the application to a fleet of Amazon EC2 instances. The EC2 instances are in an EC2 Auto Scaling group and are launched from a common AMI.

Which combination of steps should a DevOps engineer perform to meet these requirements? (Choose two.)

Options:

Create a new version of the common AMI with the CodeDeploy agent installed. Update the IAM role of the EC2 instances to allow access to CodeDeploy.

Create a new version of the common AMI with the CodeDeploy agent installed. Create an AppSpec file that contains application deployment scripts and grants access to CodeDeploy.

Create an application in CodeDeploy. Configure an in-place deployment type. Specify the Auto Scaling group as the deployment target. Add a step to the CodePipeline pipeline to use EC2 Image Builder to create a new AMI. Configure CodeDeploy to deploy the newly created AMI.

Create an application in CodeDeploy. Configure an in-place deployment type. Specify the Auto Scaling group as the deployment target. Update the CodePipeline pipeline to use the CodeDeploy action to deploy the application.

Create an application in CodeDeploy. Configure an in-place deployment type. Specify the EC2 instances that are launched from the common AMI as the deployment target. Update the CodePipeline pipeline to use the CodeDeploy action to deploy the application.

Question 115

A company is developing a web application that runs on Amazon EC2 Linux instances. The application requires monitoring of custom performance metrics. The company must collect metrics for API response times and database query latency across multiple instances. Which solution will generate the custom metrics with the LEAST operational overhead?

Options:

Install the Amazon CloudWatch agent on the instances. Configure the agent to collect the custom metrics. Instrument the application to send the metrics to the agent.

Use Amazon Managed Service for Prometheus to scrape the custom metrics from the application. Use the Amazon CloudWatch agent to forward the metrics to CloudWatch.

Create a custom AWS Lambda function that polls the application endpoints and database at regular intervals. Program the Lambda function to calculate the custom metrics and to send the metrics to Amazon CloudWatch by using PutMetricData API calls.

Implement custom logging in the application code to record the custom metrics. Use Amazon CloudWatch Logs Insights to extract and analyze the metrics.

Question 116

A company updated the AWS Cloud Formation template for a critical business application. The stack update process failed due to an error in the updated template and AWS CloudFormation automatically began the stack rollback process Later a DevOps engineer discovered that the application was still unavailable and that the stack was in the UPDATE_ROLLBACK_FAILED state.

Which combination of actions should the DevOps engineer perform so that the stack rollback can complete successfully? (Select TWO.)

Options:

Attach the AWSC loud Formation FullAccess IAM policy to the AWS CtoudFormation role.

Automatically recover the stack resources by using AWS CloudFormation drift detection.

Issue a ContinueUpdateRollback command from the AWS CloudFormation console or the AWS CLI.

Manually adjust the resources to match the expectations of the stack.

Update the existing AWS CloudFormation stack by using the original template.

Question 117

A company has a mobile application that makes HTTP API calls to an Application Load Balancer (ALB). The ALB routes requests to an AWS Lambda function. Many different versions of the application are in use at any given time, including versions that are in testing by a subset of users. The version of the application is defined in the user-agent header that is sent with all requests to the API.

After a series of recent changes to the API, the company has observed issues with the application. The company needs to gather a metric for each API operation by response code for each version of the application that is in use. A DevOps engineer has modified the Lambda function to extract the API operation name, version information from the user-agent header and response code.

Which additional set of actions should the DevOps engineer take to gather the required metrics?

Options:

Modify the Lambda function to write the API operation name, response code, and version number as a log line to an Amazon CloudWatch Logs log group. Configure a CloudWatch Logs metric filter that increments a metric for each API operation name. Specify response code and application version as dimensions for the metric.

Modify the Lambda function to write the API operation name, response code, and version number as a log line to an Amazon CloudWatch Logs log group. Configure a CloudWatch Logs Insights query to populate CloudWatch metrics from the log lines. Specify response code and application version as dimensions for the metric.

Configure the ALB access logs to write to an Amazon CloudWatch Logs log group. Modify the Lambda function to respond to the ALB with the API operation name, response code, and version number as response metadata. Configure a CloudWatch Logs metric filter that increments a metric for each API operation name. Specify response code and application version as dimensions for the metric.

Configure AWS X-Ray integration on the Lambda function. Modify the Lambda function to create an X-Ray subsegment with the API operation name, response code, and version number. Configure X-Ray insights to extract an aggregated metric for each API operation name and to publish the metric to Amazon CloudWatch. Specify response code and application version as dimensions for the metric.

Question 118

A company has its AWS accounts in an organization in AWS Organizations. AWS Config is manually configured in each AWS account. The company needs to implement a solution to centrally configure AWS Config for all accounts in the organization The solution also must record resource changes to a central account.

Which combination of actions should a DevOps engineer perform to meet these requirements? (Choose two.)

Options:

Configure a delegated administrator account for AWS Config. Enable trusted access for AWS Config in the organization.

Configure a delegated administrator account for AWS Config. Create a service-linked role for AWS Config in the organization’s management account.

Create an AWS CloudFormation template to create an AWS Config aggregator. Configure a CloudFormation stack set to deploy the template to all accounts in the organization.

Create an AWS Config organization aggregator in the organization ' s management account. Configure data collection from all AWS accounts in the organization and from all AWS Regions.

Create an AWS Config organization aggregator in the delegated administrator account. Configure data collection from all AWS accounts in the organization and from all AWS Regions.

Question 119

A company is launching an application that stores raw data in an Amazon S3 bucket. Three applications need to access the data to generate reports. The data must be redacted differently for each application before

the applications can access the data.

Which solution will meet these requirements?

Options:

Create an S3 bucket for each application. Configure S3 Same-Region Replication (SRR) from the raw data ' s S3 bucket to each application ' s S3 bucket. Configure each application to consume data from its own S3 bucket.

Create an Amazon Kinesis data stream. Create an AWS Lambda function that is invoked by object creation events in the raw data ' s S3 bucket. Program the Lambda function to redact data for each application. Publish the data on the Kinesis data stream. Configure each application to consume data from the Kinesis data stream.

For each application, create an S3 access point that uses the raw data ' s S3 bucket as the destination. Create an AWS Lambda function that is invoked by object creation events in the raw data ' s S3 bucket. Program the Lambda function to redact data for each application. Store the data in each application ' s S3 access point. Configure each application to consume data from its own S3 access point.

Create an S3 access point that uses the raw data ' s S3 bucket as the destination. For each application, create an S3 Object Lambda access point that uses the S3 access point. Configure the AWS Lambda function for each S3 Object Lambda access point to redact data when objects are retrieved. Configure each application to consume data from its own S3 Object Lambda access point.

Question 120

A company runs an application on Amazon EC2 instances. The company uses a series of AWS CloudFormation stacks to define the application resources. A developer performs updates by building and testing the application on a laptop and then uploading the build output and CloudFormation stack templates to Amazon S3. The developer ' s peers review the changes before the developer performs the CloudFormation stack update and installs a new version of the application onto the EC2 instances.

The deployment process is prone to errors and is time-consuming when the developer updates each EC2 instance with the new application. The company wants to automate as much of the application deployment process as possible while retaining a final manual approval step before the modification of the application or resources.

The company already has moved the source code for the application and the CloudFormation templates to AWS CodeCommit. The company also has created an AWS CodeBuild project to build and test the application.

Which combination of steps will meet the company’s requirements? (Choose two.)

Options:

Create an application group and a deployment group in AWS CodeDeploy. Install the CodeDeploy agent on the EC2 instances.

Create an application revision and a deployment group in AWS CodeDeploy. Create an environment in CodeDeploy. Register the EC2 instances to the CodeDeploy environment.

Use AWS CodePipeline to invoke the CodeBuild job, run the CloudFormation update, and pause for a manual approval step. After approval, start the AWS CodeDeploy deployment.

Use AWS CodePipeline to invoke the CodeBuild job, create CloudFormation change sets for each of the application stacks, and pause for a manual approval step. After approval, run the CloudFormation change sets and start the AWS CodeDeploy deployment.

Use AWS CodePipeline to invoke the CodeBuild job, create CloudFormation change sets for each of the application stacks, and pause for a manual approval step. After approval, start the AWS CodeDeploy deployment.

Question 121

A company uses an organization in AWS Organizations to manage several AWS accounts that the company ' s developers use. The company requires all data to be encrypted in transit.

Multiple Amazon S3 buckets that were created in developer accounts allow unencrypted connections. A DevOps engineer must enforce encryption of data in transit for all existing S3 buckets that are created in accounts in the organization.

Which solution will meet these requirements?

Options:

Use AWS Cloud Formation StackSets to deploy an AWS Network Firewall firewall to each account. Route all outbound requests from the AWS environment through the firewall. Deploy a policy to block access to all outbound requests on port 80.

Use AWS CloudFormation StackSets to deploy an AWS Network Firewall firewall to each account. Route all inbound requests to the AWS environment through the firewall. Deploy a policy to block access to all inbound requests on port 80.

Turn on AWS Config for the organization. Deploy a conformance pack that uses the s3-bucket-ssi-requests-only managed rule and an AWS Systems Manager Automation runbook. Use a runbook that adds a bucket policy statement to deny access to an S3 bucket when the value of the aws:SecureTransport condition key is false.

Turn on AWS Config for the organization. Deploy a conformance pack that uses the s3-buckot-ssl-requests-only managed rule and an AWS Systems Manager Automation runbook. Use a runbook that adds a bucket policy statement to deny access to an S3 bucket when the value of the s3:x-amz-server-side-encryption-aws-kms-key-id condition key is null.

Answer:

Explanation:

Step 1: Enabling AWS Config for the OrganizationThe first step is to enable AWS Config across the AWS Organization. AWS Config is a service that enables you to assess, audit, and evaluate the configurations of your AWS resources. By enabling AWS Config, you can ensure that all S3 buckets within the organization are tracked and evaluated according to compliance rules.

Action: Turn on AWS Config for all AWS accounts in the organization.

Why: AWS Config will help monitor all resources (like S3 buckets) in real time to detect whether they are compliant with security policies.

[Reference: AWS documentation on Configuring AWS Config., Step 2: Deploying a Conformance Pack with Managed RulesAfter AWS Config is enabled, you need to deploy a conformance pack that contains the s3-bucket-ssi-requests-only managed rule. This rule enforces that all S3 buckets only allow requests using Secure Socket Layer (SSL) connections (HTTPS)., Action: Deploy a conformance pack that uses the s3-bucket-ssi-requests-only rule. This rule ensures that only SSL connections (for encrypted data in transit) are allowed when accessing S3., Why: This rule guarantees that data is encrypted in transit by enforcing SSL connections to the S3 buckets., Reference: AWS documentation on Conformance Packs., Step 3: Using an AWS Systems Manager Automation RunbookTo automatically remediate the compliance issues, such as S3 buckets allowing non-SSL requests, a Systems Manager Automation runbook is deployed. The runbook will automatically add a bucket policy that denies access to any requests that do not use SSL., Action: Use a Systems Manager Automation runbook that adds a bucket policy statement to deny access when the aws:SecureTransport condition key is false., Why: This ensures that all S3 buckets across the organization comply with the policy of enforcing encrypted data in transit., Reference: AWS documentation on AWS Config Managed Rules., This corresponds to Option C: Turn on AWS Config for the organization. Deploy a conformance pack that uses the s3-bucket-ssi-requests-only managed rule and an AWS Systems Manager Automation runbook. Use a runbook that adds a bucket policy statement to deny access to an S3 bucket when the value of the aws:SecureTransport condition key is false., , , , ]

Question 122

A business has an application that consists of five independent AWS Lambda functions.

The DevOps engineer has built a CI/CD pipeline using AWS CodePipeline and AWS CodeBuild that builds tests packages and deploys each Lambda function in sequence. The pipeline uses an Amazon EventBridge rule to ensure the pipeline starts as quickly as possible after a change is made to the application source code.

After working with the pipeline for a few months the DevOps engineer has noticed the pipeline takes too long to complete.

What should the DevOps engineer implement to BEST improve the speed of the pipeline?

Options:

Modify the CodeBuild projects within the pipeline to use a compute type with more available network throughput.

Create a custom CodeBuild execution environment that includes a symmetric multiprocessing configuration to run the builds in parallel.

Modify the CodePipeline configuration to run actions for each Lambda function in parallel by specifying the same runorder.

Modify each CodeBuild protect to run within a VPC and use dedicated instances to increase throughput.

Question 123

A DevOps engineer used an AWS Cloud Formation custom resource to set up AD Connector. The AWS Lambda function ran and created AD Connector, but Cloud Formation is not transitioning from CREATE_IN_PROGRESS to CREATE_COMPLETE.

Which action should the engineer take to resolve this issue?

Options:

Ensure the Lambda function code has exited successfully.

Ensure the Lambda function code returns a response to the pre-signed URL.

Ensure the Lambda function IAM role has cloudformation UpdateStack permissions for the stack ARN.

Ensure the Lambda function IAM role has ds ConnectDirectory permissions for the AWS account.

Question 124

A DevOps engineer is creating a CI/CD pipeline to build container images. The engineer needs to store container images in Amazon Elastic Container Registry (Amazon ECR) and scan the images for common vulnerabilities. The CI/CD pipeline must be resilient to outages in upstream source container image repositories.

Which solution will meet these requirements?

Options:

Create an ECR private repository in the private registry to store the container images and scan images when images are pushed to the repository. Configure a replication rule in the private registry to replicate images from upstream repositories.

Create an ECR public repository in the public registry to cache images from upstream source repositories. Create an ECR private repository to store images. Configure the private repository to scan images when images are pushed to the repository.

Create an ECR public repository in the public registry. Configure a pull through cache rule for the repository. Create an ECR private repository to store images. Configure the ECR private registry to perform basic scanning.

Create an ECR private repository in the private registry to store the container images. Enable basic scanning for the private registry, and create a pull through cache rule.

Question 125

A company uses Amazon Redshift as its data warehouse solution. The company wants to create a dashboard to view changes to the Redshift users and the queries the users perform.

Which combination of steps will meet this requirement? (Select TWO.)

Options:

Create an Amazon CloudWatch log group. Create an AWS CloudTrail trail that writes to the CloudWatch log group.

Create a new Amazon S3 bucket. Configure default audit logging on the Redshift cluster. Configure the S3 bucket as the target.

Configure the Redshift cluster database audit logging to include user activity logs. Configure Amazon CloudWatch as the target.

Create an Amazon CloudWatch dashboard that has a log widget. Configure the widget to display user details from the Redshift logs.

Create an AWS Lambda function that uses Amazon Athena to query the Redshift logs. Create an Amazon CloudWatch dashboard that has a custom widget type that uses the Lambda function.

Question 126

A company is using AWS to run digital workloads. Each application team in the company has its own AWS account for application hosting. The accounts are consolidated in an organization in AWS Organizations.

The company wants to enforce security standards across the entire organization. To avoid noncompliance because of security misconfiguration, the company has enforced the use of AWS CloudFormation. A production support team can modify resources in the production environment by using the AWS Management Console to troubleshoot and resolve application-related issues.

A DevOps engineer must implement a solution to identify in near real time any AWS service misconfiguration that results in noncompliance. The solution must automatically remediate the issue within 15 minutes of identification. The solution also must track noncompliant resources and events in a centralized dashboard with accurate timestamps.

Which solution will meet these requirements with the LEAST development overhead?

Options:

Use CloudFormation drift detection to identify noncompliant resources. Use drift detection events from CloudFormation to invoke an AWS Lambda function for remediation. Configure the Lambda function to publish logs to an Amazon CloudWatch Logs log group. Configure an Amazon CloudWatch dashboard to use the log group for tracking.

Turn on AWS CloudTrail in the AWS accounts. Analyze CloudTrail logs by using Amazon Athena to identify noncompliant resources. Use AWS Step Functions to track query results on Athena for drift detection and to invoke an AWS Lambda function for remediation. For tracking, set up an Amazon QuickSight dashboard that uses Athena as the data source.

Turn on the configuration recorder in AWS Config in all the AWS accounts to identify noncompliant resources. Enable AWS Security Hub with the ~no-enable-default-standards option in all the AWS accounts. Set up AWS Config managed rules and custom rules. Set up automatic remediation by using AWS Config conformance packs. For tracking, set up a dashboard on Security Hub in a designated Security Hub administrator account.

Turn on AWS CloudTrail in the AWS accounts. Analyze CloudTrail logs by using Amazon CloudWatch Logs to identify noncompliant resources. Use CloudWatch Logs filters for drift detection. Use Amazon EventBridge to invoke the Lambda function for remediation. Stream filtered CloudWatch logs to Amazon OpenSearch Service. Set up a dashboard on OpenSearch Service for tracking.

Answer:

Explanation:

The best solution is to use AWS Config and AWS Security Hub to identify and remediate noncompliant resources across multiple AWS accounts. AWS Config enables continuous monitoring of the configuration of AWS resources and evaluates them against desired configurations. AWS Config can also automatically remediate noncompliant resources by using conformance packs, which are a collection of AWS Config rules and remediation actions that can be deployed as a single entity. AWS Security Hub provides a comprehensive view of the security posture of AWS accounts and resources. AWS Security Hub can aggregate and normalize the findings from AWS Config and other AWS services, as well as from partner solutions. AWS Security Hub can also be used to create a dashboard for tracking noncompliant resources and events in a centralized location.

The other options are not optimal because they either require more development overhead, do not provide near real time detection and remediation, or do not provide a centralized dashboard for tracking.

Option A is not optimal because CloudFormation drift detection is not a near real time solution. Drift detection has to be manually initiated on each stack or resource, or scheduled using a cron expression. Drift detection also does not provide remediation actions, so a custom Lambda function has to be developed and invoked. CloudWatch Logs and dashboard can be used for tracking, but they do not provide a comprehensive view of the security posture of the AWS accounts and resources.

Option B is not optimal because CloudTrail logs analysis using Athena is not a near real time solution. Athena queries have to be manually run or scheduled using a cron expression. Athena also does not provide remediation actions, so a custom Lambda function has to be developed and invoked. Step Functions can be used to orchestrate the query and remediation workflow, but it adds more complexity and cost. QuickSight dashboard can be used for tracking, but it does not provide a comprehensive view of the security posture of the AWS accounts and resources.

Option D is not optimal because CloudTrail logs analysis using CloudWatch Logs is not a near real time solution. CloudWatch Logs filters have to be manually created or updated for each resource type and configuration change. CloudWatch Logs also does not provide remediation actions, so a custom Lambda function has to be developed and invoked. EventBridge can be used to trigger the Lambda function, but it adds more complexity and cost. OpenSearch Service dashboard can be used for tracking, but it does not provide a comprehensive view of the security posture of the AWS accounts and resources.

AWS Config conformance packs

Introducing AWS Config conformance packs

Managing conformance packs across all accounts in your organization

Question 127

A DevOps engineer manages a web application that runs on Amazon EC2 instances behind an Application Load Balancer (ALB). The instances run in an EC2 Auto Scaling group across multiple Availability Zones. The engineer needs to implement a deployment strategy that:

Launches a second fleet of instances with the same capacity as the original fleet.

Maintains the original fleet unchanged while the second fleet is launched.

Transitions traffic to the second fleet when the second fleet is fully deployed.

Terminates the original fleet automatically 1 hour after transition.

Which solution will satisfy these requirements?

Options:

Use an AWS CloudFormation template with a retention policy for the ALB set to 1 hour. Update the Amazon Route 53 record to reflect the new ALB.

Use two AWS Elastic Beanstalk environments to perform a blue/green deployment from the original environment to the new one. Create an application version lifecycle policy to terminate the original environment in 1 hour.

Use AWS CodeDeploy with a deployment group configured with a blue/green deployment configuration Select the option Terminate the original instances in the deployment group with a waiting period of 1 hour.

Use AWS Elastic Beanstalk with the configuration set to Immutable. Create an .ebextension using the Resources key that sets the deletion policy of the ALB to 1 hour, and deploy the application.

Question 128

A DevOps engineer manages an AWS CodePipeline pipeline that builds and deploys a web application on AWS. The pipeline has a source stage, a build stage, and a deploy stage. When deployed properly, the web application responds with a 200 OK HTTP response code when the URL of the home page is requested. The home page recently returned a 503 HTTP response code after CodePipeline deployed the application. The DevOps engineer needs to add an automated test into the pipeline. The automated test must ensure that the application returns a 200 OK HTTP response code after the application is deployed. The pipeline must fail if the response code is not present during the test. The DevOps engineer has added a CheckURL stage after the deploy stage in the pipeline. What should the DevOps engineer do next to implement the automated test?

Options:

Configure the CheckURL stage to use an Amazon CloudWatch action. Configure the action to use a canary synthetic monitoring check on the application URL and to report a success or failure to CodePipeline.

Create an AWS Lambda function to check the response code status of the URL and to report a success or failure to CodePipeline. Configure an action in the CheckURL stage to invoke the Lambda function.

Configure the CheckURL stage to use an AWS CodeDeploy action. Configure the action with an input artifact that is the URL of the application and to report a success or failure to CodePipeline.

Deploy an Amazon API Gateway HTTP API that checks the response code status of the URL and that reports success or failure to CodePipeline. Configure the CheckURL stage to use the AWS Device Farm test action and to provide the API Gateway HTTP API as an input artifact.

Question 129

A company uses AWS CodeArtifact to centrally store Python packages. The CodeArtifact repository is configured with the following repository policy.

" Version " : ”2012-10-17”,

" Statement”: [

{

" Action " : [

" codeartifact:DescribePackageVersion " , " codeartifact:DescribeRepository " ,

" codeartifact:GetPackageVersionReadme " , " codeartifact:GetRepositoryEndpoint " , " codeartifact:ListPackageVersionAssets " , ' ’codeartifact: ListPackageVersionDependencies " , " codeartifact:ListPackageVersions " , ' ’codeartifact :ListPackages " ,

' ’codeartifact: ReadFromRepository "

" Effect " : " Allow " ,

" Resource " : " * " ,

" Principal " :

" Condition " : {

" StringEquals " : {

" aws:PrincipalOrglD " : [ " o-xxxxxxxxxxx "

]

}

]

A development team is building a new project in an account that is in an organization in AWS Organizations. The development team wants to use a Python library that has already been stored in the CodeArtifact repository in the organization. The development team uses AWS CodePipeline and AWS CodeBuild to build the new application. The CodeBuild job that the development team uses to build the application is configured to run in a VPC Because of compliance requirements the VPC has no internet connectivity.

The development team creates the VPC endpoints for CodeArtifact and updates the CodeBuild buildspec yaml file. However, the development team cannot download the Python library from the repository.

Which combination of steps should a DevOps engineer take so that the development team can use Code Artifact? (Select TWO.)

Options:

Create an Amazon S3 gateway endpoint Update the route tables for the subnets that are running the CodeBuild job.

Update the repository policy ' s Principal statement to include the ARN of the role that the CodeBuild project uses.

Share the CodeArtifact repository with the organization by using AWS Resource Access Manager (AWS RAM).

Update the role that the CodeBuild project uses so that the role has sufficient permissions to use the CodeArtifact repository.

Specify the account that hosts the repository as the delegated administrator for CodeArtifact in the organization.

Question 130

A company uses containers for its applications The company learns that some container Images are missing required security configurations

A DevOps engineer needs to implement a solution to create a standard base image The solution must publish the base image weekly to the us-west-2 Region, us-east-2 Region, and eu-central-1 Region.

Which solution will meet these requirements?

Options:

Create an EC2 Image Builder pipeline that uses a container recipe to build the image. Configure the pipeline to distribute the image to an Amazon Elastic Container Registry (Amazon ECR) repository in us-west-2. Configure ECR replication from us-west-2 to us-east-2 and from us-east-2 to eu-central-1 Configure the pipeline to run weekly

Create an AWS CodePipeline pipeline that uses an AWS CodeBuild project to build the image Use AWS CodeOeploy to publish the image to an Amazon Elastic Container Registry (Amazon ECR) repository in us-west-2 Configure ECR replication from us-west-2 to us-east-2 and from us-east-2 to eu-central-1 Configure the pipeline to run weekly

Create an EC2 Image Builder pipeline that uses a container recipe to build the Image Configure the pipeline to distribute the image to Amazon Elastic Container Registry (Amazon ECR) repositories in all three Regions. Configure the pipeline to run weekly.

Create an AWS CodePipeline pipeline that uses an AWS CodeBuild project to build the image Use AWS CodeDeploy to publish the image to Amazon Elastic Container Registry (Amazon ECR) repositories in all three Regions. Configure the pipeline to run weekly.

Question 131

A company wants to use AWS Systems Manager documents to bootstrap physical laptops for developers The bootstrap code Is stored in GitHub A DevOps engineer has already created a Systems Manager activation, installed the Systems Manager agent with the registration code, and installed an activation ID on all the laptops.

Which set of steps should be taken next?

Options:

Configure the Systems Manager document to use the AWS-RunShellScnpt command to copy the files from GitHub to Amazon S3, then use the aws-downloadContent plugin with a sourceType of S3

Configure the Systems Manager document to use the aws-configurePackage plugin with an install action and point to the Git repository

Configure the Systems Manager document to use the aws-downloadContent plugin with a sourceType of GitHub and sourcelnfo with the repository details.

Configure the Systems Manager document to use the aws:softwarelnventory plugin and run the script from the Git repository

Question 132

A company uses a pipeline in AWS CodePipeline to deploy an application. The company created an AWS Fault Injection Service (AWS FIS) experiment template to test the resiliency of the application. A DevOps engineer needs to integrate the experiment into the pipeline.

Which solution will meet this requirement?

Options:

Configure a new stage in the pipeline that includes an AWS FIS action. Configure the action to reference the AWS FIS experiment template. Grant the pipeline access to start the experiment.

Create an Amazon EventBridge scheduler. Grant the scheduler permission to start the AWS FIS experiment. Configure a new stage in the pipeline that includes an action to invoke the EventBridge scheduler.

Create an AWS Lambda function to start the AWS FIS experiment. Grant the Lambda function permission to start the experiment. Create a new stage in the pipeline that has a Lambda action. Set the action to invoke the Lambda function.

Export the AWS FIS experiment template to an Amazon S3 bucket. Create an AWS CodeBuild unit test project that has a buildspec that starts the AWS FIS experiment. Grant the CodeBuild project access to start the experiment. Configure a new stage in the pipeline that includes an action to run the CodeBuild unit test project.

Question 133

A company produces builds for an open source project every day. The company hosts the open source project in a public code repository that the company supports. The company manually invokes a pipeline in AWS CodePipeline to build artifacts for the project. The company wants to make the build artifacts publicly available on a website that the company hosts in an Amazon S3 bucket.

Which solution will meet these requirements with the LEAST operational overhead?

Options:

Create an AWS CodeBuild project. Set the public repository as the source. Use a webhook to rebuild when the company pushes a code change. Configure the artifacts section of the project to use the S3 bucket as the destination. Set up an appropriate path to store build outputs in the bucket. Disable artifact encryption.

Create an AWS CodeBuild project. Set the public repository as the source. Configure the artifacts section of the project to use the S3 bucket as the destination. Ensure that artifact encryption is enabled in the artifacts configuration. Configure an Amazon EventBridge rule to initiate the CodeBuild project on a daily schedule.

Add a new stage to the end of the pipeline. Configure the stage to include an action to publish artifacts to the S3 bucket. Update the pipeline to run in response to pull requests to the public repository.

Add a new stage to the end of the pipeline. Configure the stage to include an action to publish artifacts to the S3 bucket. Create an Amazon EventBridge rule to initiate the pipeline on a daily schedule.

Question 134

An online retail company based in the United States plans to expand its operations to Europe and Asia in the next six months. Its product currently runs on Amazon EC2 instances behind an Application Load Balancer. The instances run in an Amazon EC2 Auto Scaling group across multiple Availability Zones. All data is stored in an Amazon Aurora database instance.

When the product is deployed in multiple regions, the company wants a single product catalog across all regions, but for compliance purposes, its customer information and purchases must be kept in each region.

How should the company meet these requirements with the LEAST amount of application changes?

Options:

Use Amazon Redshift for the product catalog and Amazon DynamoDB tables for the customer information and purchases.

Use Amazon DynamoDB global tables for the product catalog and regional tables for the customer information and purchases.

Use Aurora with read replicas for the product catalog and additional local Aurora instances in each region for the customer information and purchases.

Use Aurora for the product catalog and Amazon DynamoDB global tables for the customer information and purchases.

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