Microsoft GH-200 Dumps

The GITHUB_ACTOR environment variable indicates the name of the person or app that initiated the workflow. This variable is automatically provided by GitHub in the workflow and can be used to identify the user or application triggering the workflow.

The $GITHUB_ENV environment variable is used to set environment variables that persist across steps in a workflow job. By echoing FOO=bar into $GITHUB_ENV, the variable FOO will be available in subsequent steps within the same job.

The GITHUB_TOKEN is automatically provided by GitHub in workflows and can be used to authenticate API requests to GitHub, including publishing packages to GitHub Packages.

The GITHUB_TOKEN is also used to authenticate API requests for actions like creating issues, commenting, or interacting with pull requests within the same repository.

The correct syntax includes specifying the job (example-job), the runner (ubuntu-latest), and the necessary step (npm install -g bats) within the workflow. This ensures that the package is installed properly during the execution of the job.

The GITHUB_REPOSITORY environment variable contains the owner and repository name in the format owner/repository. It is automatically provided by GitHub Actions and can be used to reference the repository in workflows.

The repository_dispatch event allows you to trigger a workflow in response to external activity. It is commonly used when you need to trigger a workflow from outside GitHub, such as from another system or service, by sending a request to the GitHub API. This event provides flexibility to integrate with various external systems and trigger workflows in a GitHub repository.

To use a starter workflow provided by your organization, you need to go to the Actions tab in the repository and select New workflow. This option allows you to either create a new workflow or select from a list of available workflow templates, including starter workflows provided by your organization.

Searching the GitHub Marketplace for verified actions published by the cloud provider is the quickest and safest approach. Many cloud providers offer verified GitHub Actions that are maintained and optimized to interact with their services. These actions typically come with the correct configurations and best practices, allowing you to get started quickly without reinventing the wheel.

Using a corporate secret store like HashiCorp Vault provides a secure, centralized location for sensitive information. GitHub Actions can then retrieve and store the token securely during deployment by setting it as an environment variable, ensuring the token remains secure and accessible at runtime.

Storing the token as an organizational-level encrypted secret in GitHub ensures it is accessible across multiple repositories, minimizing management overhead. GitHub Actions can then use this secret during deployment by setting it as an environment variable, allowing the microservice to access it securely at runtime.

GitHub Actions on GitHub Enterprise Server often requires an internet connection, especially for accessing actions from the GitHub Marketplace or third-party actions unless they are manually synced to the server.

To use third-party actions on GitHub Enterprise Server, GitHub Connect can be used to establish a connection between the server and GitHub.com, enabling access to third-party actions.

Third-party actions can also be manually synchronized to the GitHub Enterprise Server, making them available for use in workflows.

Since the self-hosted runner is configured on a Linux VM and the script is written in PowerShell, you can invoke the script using the pwsh (PowerShell Core) shell in a run step in the workflow. This ensures that the script runs as-is on the Linux runner, as PowerShell Core (pwsh) is cross-platform and supports Linux.

GitHub Actions allows you to configure environment protection rules, where you can require specific users or teams to approve the deployment before the workflow proceeds to the next step. This ensures that the required reviewers approve the workflow before any sensitive actions (such as deployment) occur.

Dockerfile: The Dockerfile is required for Docker container actions. It defines the environment for the action, specifying the base image, dependencies, and any commands to set up the action’s runtime inside the container.

action.yml: The action.yml file is required for all GitHub Actions, including Docker container actions. It contains metadata about the action, including the inputs, outputs, and the runtime environment (which in this case is Docker, defined under runs.using).

The check_run event is triggered when a check (such as a code quality check) completes, including when the status of a check changes. By adding this event as a trigger, you can initiate a follow-up workflow when the code quality integration finishes its checks.

GitHub Actions encrypted secrets can be accessed in workflows using the secrets context. You can directly reference the secret within an if: conditional using ${{ secrets.MySuperSecret }} to determine whether a job or step should run based on the secret's value.

The GET /repos/:owner/:repo/actions/runs/:run_id/logs API endpoint is used to retrieve the logs of a specific workflow run identified by run_id. This is the correct method for downloading logs from a workflow run.

A. Use the actions/setup-docker action

B. Authenticate to the GitHub Container Registry.

C. Build the container image.

D. Push the image to the GitHub Container Registry

E. Pull the image from the GitHub Container Registry.

GitHub Actions supports the use of service containers, which allows you to spin up a PostgreSQL database (or any other service) in a Docker container during your workflow. You can pull a PostgreSQL image from Docker Hub, and the container will automatically be available to your workflow job. This method requires no additional infrastructure and is easy to configure and maintain, as you simply define the container in the workflow file.

The $GITHUB_OUTPUT file is used to pass data from one step to another in GitHub Actions. The echo command appends the key-value pair to this file, which sets the output variable (MY_OUTPUT) for the current step.

Caching is ideal for files that change rarely, such as dependencies or build outputs, as it speeds up subsequent workflow runs by reusing previously cached files instead of re-downloading or rebuilding them.

Artifacts are used for persisting files produced during a job that need to be used in later jobs or after the workflow has ended, allowing them to be downloaded or referenced later.

First, the dataset should be encrypted before being stored. This ensures that the data is protected when stored in a repository.

The encrypted dataset can be stored in a GitHub secret, ensuring it is securely kept and not exposed publicly.

The encryption key needed to decrypt the dataset should also be stored in a GitHub secret to maintain security during the workflow, allowing access only when needed.