Splunk SPLK-1003 Dumps

[tcp://:]

*Configures the input to listen on a specific TCP network port.

*If a makes a connection to this instance, the input uses this stanza to configure itself.

*If you do not specify , this stanza matches all connections on the specified port.

*Generates events with source set to "tcp:", for example: tcp:514

*If you do not specify a sourcetype, generates events with sourcetype set to "tcp-raw"

"From the user standpoint, specifying and running a distributed search is essentially the same as running any other search. Behind the scenes, the search head distributes the query to its search peers, and consolidates the results when presenting them to the user."

Scripted Authentication: An option for Splunk Enterprise authentication. You can use an authentication system that you have in place (such as PAM or RADIUS) by configuring authentication.conf to use a script instead of using LDAP or Splunk Enterprise default authentication.

According to the Splunk documentation1, to customize a configuration file, you need to create a new file with the same name in a local or app directory. Then, add the specific settings that you want to customize to the local configuration file. Never change or copy the configuration files in the default directory. The files in the default directory must remain intact and in their original location. The Splunk Enterprise upgrade process overwrites the default directory.

To deploy configuration files to deployment clients, you need to use the deployment server. The deployment server is a Splunk Enterprise instance that distributes content and updates to deployment clients2. The deployment server uses a directory called $SPLUNK_HOME/etc/deployment-apps to store the apps and configuration files that itdeploys to clients2. To update the configuration files in this directory, you need to edit them manually and then run the command $SPLUNK_HOME/bin/sp1unk reload deploy—server to make the changes take effect2.

Therefore, option A is incorrect because it does not include the reload command. Option B is incorrect because it makes the change on a deployment client instead of the deployment server. Option D is incorrect because it changes the default directory instead of the local directory.

References: 1: How to edit a configuration file - Splunk Documentation 2: Deployment of configuration files - Splunk Community

The deployer is a Splunk Enterprise instance that you use to distribute apps and certain other configuration updates to search head cluster members. The set of updates that the deployer distributes is called the configuration bundle. com/Documentation/Splunk/8.1.3/DistSearch/PropagateSHCconfigurationchanges#:~:text=The%20deployer%20is%20a%20Splunk,is%20called%20the%20configuration%20bundle.

First line says it all: "The deployment server distributes deployment apps to clients."

Once further conditions are met (for example, the index reaches some maximum number of warm buckets), the indexer begins to roll the warm buckets to cold, based on their age. It alwaysselects the oldest warm bucket to roll to cold. Buckets continue to roll to cold as they age in this manner. Cold buckets reside in a different location from hot and warm buckets. You can configure the location so that cold buckets reside on cheaper storage.

--Key configuration files are: inputs.conf controls how the forwarder collects data. outputs.conf controls how the forwarder sends data to an indexer or other forwarder server.conf for connection and performance tuning deploymentclient.conf for connecting to a deployment server

A bucket is the object that stores events inside of an index. According to the Splunk documentation1, “An index is a collection of directories, also called buckets, that contain index files. Each bucket represents a specific time range.” A bucket can be in one of several states, such as hot, warm, cold, frozen, or thawed1. Buckets are managed by indexers or clusters of indexers1.

"The data pipeline segments in depth. INPUT - In the input segment, Splunk software consumes data. It acquires the raw data stream from its source, breaks it into 64K blocks, and annotates each block with some metadata keys. The keys can also include values that are used internally, such as the character encoding of the data stream, and values that control later processing of the data, such as the index into which the events should be stored. PARSING Annotating individual events with metadata copied from the source-wide keys. Transforming event data and metadata according to regex transform rules."

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The following items in the phases below are listed in the order Splunk applies them (ie LINE_BREAKER occurs before TRUNCATE).

Input phase

inputs.conf

props.conf

CHARSET

NO_BINARY_CHECK

CHECK_METHOD

CHECK_FOR_HEADER (deprecated)

PREFIX_SOURCETYPE

sourcetype

wmi.conf

regmon-filters.conf

Structured parsing phase

props.conf

INDEXED_EXTRACTIONS, and all other structured data header extractions

Parsing phase

props.conf

LINE_BREAKER, TRUNCATE, SHOULD_LINEMERGE, BREAK_ONLY_BEFORE_DATE, and all other line merging settings

TIME_PREFIX, TIME_FORMAT, DATETIME_CONFIG (datetime.xml), TZ, and all other time extraction settings and rules

TRANSFORMS which includes per-event queue filtering, per-event index assignment, per-event routing

SEDCMD

MORE_THAN, LESS_THAN

transforms.conf

stanzas referenced by a TRANSFORMS clause in props.conf

LOOKAHEAD, DEST_KEY, WRITE_META, DEFAULT_VALUE, REPEAT_MATCH

Adding further clarity and quoting same Splunk reference URL from @giubal"

"To keep configuration settings consistent across peer nodes, configuration files are managed from the cluster master, which pushes the files to the slave-app directories on the peer nodes. Files in the slave-app directories have the highest precedence in a cluster peer's configuration. Here is the expanded precedence order for cluster peers:

1.Slave-app local directories -- highest priority

2. System local directory

3. App local directories

4. Slave-app default directories

5. App default directories

6. System default directory --lowest priority

Setting: ignoreOlderThan = Description: "Causes the input to stop checking files for updates if the file modification time has passed the threshold." Default: 0 (disabled)

"A Splunk platform instance that responses to search requests from a search head. The term "Search peer" is usually synonymous with the indexer role in a distributed search topology..."

splunk_server

The splunk server field contains the name of the Splunk server containing the event. Useful in a distributed Splunk environment. Example: Restrict a search to the main index on a server named remote. splunk_server=remote index=main 404

"You can specify a SEDCMD configuration in props.conf to address data that contains characters that the third-party server cannot process. "

• A Splunk deployment server is a system that distributes apps, configurations, and other assets to groups of Splunk Enterprise instances. You can use it to distribute updates to most types of Splunk Enterprise components: forwarders, non-clustered indexers, and search heads2.
• A Splunk deployment server is available on every full Splunk Enterprise instance. To use it, you must activate it by placing at least one app into %SPLUNK_HOME%\etc\deployment-apps on the host you want to act as deployment server3.
• A Splunk deployment server maintains the list of server classes and uses those server classes to determine what content to distribute to each client. A server class is a group of deployment clients that share one or more defined characteristics1.
• A Splunk deployment client is a Splunk instance remotely configured by a deployment server. Deployment clients can be universal forwarders, heavy forwarders, indexers, or search heads. Each deployment client belongs to one or more server classes1.
• A Splunk deployment app is a set of content (including configuration files) maintained on the deployment server and deployed as a unit to clients of a server class. A deployment app can be an existing Splunk Enterprise app or one developed solely to group some content for deployment purposes1.

Therefore, option C is correct, and the other options are incorrect.

The correct answer is B. in props.conf:

[identity]

SEDCMD-redact_pw = s/password=([^,|/s]+)/ ####REACTED####/g

According to the Splunk documentation1, to redact sensitive data from raw events, you need to use the SEDCMD attribute in the props.conf file. The SEDCMD attribute applies a sed expression to the raw data before indexing. The sed expression can use the s command to replace a pattern with a substitution string. For example, the following sed expression replaces any occurrence of password= followed by any characters until a comma, whitespace, or slash with ####REACTED####:

s/password=([^,|/s]+)/ ####REACTED####/g

The g flag at the end means that the replacement is applied globally, not just to the first match.

Option A is incorrect because it uses the REGEX attribute instead of the SEDCMD attribute. The REGEX attribute is used to extract fields from events, not to modify them.

Option C is incorrect because it uses the transforms.conf file instead of the props.conf file. The transforms.conf file is used to define transformations that can be applied to fields or events, such as lookups, evaluations, or replacements. However, these transformations are applied after indexing, not before.

Option D is incorrect because it uses both the wrong attribute and the wrong file. There is no REGEX-redact_pw attribute in the transforms.conf file.

References:1:Redact data from events - Splunk Documentation

Set the stanza to have a server value equal to a comma-separated list of IP addresses and indexer ports for each of the indexers in the environment. This is explained in the Splunk documentation1, which states:

To enable automatic load balancing, set the stanza to have a server value equal to a comma-separated list of IP addresses and indexer ports for each of the indexers in the environment. For example:

[tcpout] server=10.1.1.1:9997,10.1.1.2:9997,10.1.1.3:9997

The forwarder then distributes data across all of the indexers in the list.

"The Splunk platform collects remote Windows data for indexing in one of two ways: From Splunk forwarders, Using Windows Management Instrumentation (WMI). For Splunk Cloud deployments, you must use the Splunk Universal Forwarder on a Windows machines to montior remote Windows data."

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This is explained in the Splunk documentation1, which states:

If an indexer goes down during a search, the search head notifies you that the results might be incomplete. The search head does not attempt to re-run the search on another indexer.

According to the Splunk system admin course PDF, When adding native users, Username and Password ARE REQUIRED

The CLI command "Splunk add forward-server indexer:" is used to define the indexer and the listening port on forwards. The command creates this kind of entry "[tcpout-server://:]" in the outputs.conf file.

# Compression

#

# This example sends compressed events to the remote indexer.

# NOTE: Compression can be enabled TCP or SSL outputs only.

# The receiver input port should also have compression enabled.

[tcpout]

server = splunkServer.example.com:4433

compressed = true

 The setting that allows the configuration of Splunk to allow events to span over more than one line is SHOULD_LINEMERGE. This setting determines whether consecutive lines from a single source should be concatenated into a single event. If SHOULD_LINEMERGE is set to true, Splunk will attempt to merge multiple lines into one event based on certain criteria, such as timestamps or regular expressions. Therefore, option A is the correct answer. References: Splunk Enterprise Certified Admin | Splunk, [Configure event line merging - Splunk Documentation]

You can have a role inherit certain properties from one or more existing role k.com/Documentation/Splunk/8.0.5/Security/Aboutusersandroles

The correct answer is C and D. A heavy forwarder and an indexer are the Splunk components that can break a stream of syslog inputs into individual events.

A universal forwarder is a lightweight agent that can forward data to a Splunk deployment, but it does not perform any parsing or indexing on the data. A search head is a Splunk component that handles search requests and distributes them to indexers, but it does not process incoming data.

A heavy forwarder is a Splunk component that can perform parsing, filtering, routing, and aggregation on the data before forwarding it to indexers or other destinations.A heavy forwarder can break a stream of syslog inputs into individual events based on the line breaker and should linemerge settings in the inputs.conf file1.

An indexer is a Splunk component that stores and indexes data, making it searchable.An indexer can also break a stream of syslog inputs into individual events based on the props.conf file settings, such as TIME_FORMAT, MAX_TIMESTAMP_LOOKAHEAD, and line_breaker2.

• A Splunk component is a software process that performs a specific function in a Splunk deployment, such as data collection, data processing, data storage, data search, or data visualization.
• Syslog is a standard protocol for logging messages from network devices, such as routers, switches, firewalls, or servers. Syslog messages are typically sent over UDP or TCP to a central syslog server or a Splunk instance.
• Breaking a stream of syslog inputs into individual events means separating the data into discrete records that can be indexed and searched by Splunk. Each event should have a timestamp, a host, a source, and a sourcetype, which are the default fields that Splunk assigns to the data.

References:

• 1: Configure inputs using Splunk Connect for Syslog - Splunk Documentation
• 2: inputs.conf - Splunk Documentation
• 3: How to configure props.conf for proper line breaking … - Splunk Community
• 4: Reliable syslog/tcp input – splunk bundle style | Splunk
• 5: Configure inputs using Splunk Connect for Syslog - Splunk Documentation
• 6: About configuration files - Splunk Documentation
• [7]: Configure your OSSEC server to send data to the Splunk Add-on for OSSEC - Splunk Documentation
• [8]: Splunk components - Splunk Documentation
• [9]: Syslog - Wikipedia
• [10]: About default fields - Splunk Documentation

"The btool command simulates the merging process using the on-disk conf files and creates a report showing the merged settings."

"The report does not necessarily represent what's loaded in memory. If a conf file change is made that requires a service restart, the btool report shows the change even though that change isn't active."

Hot/warm/cold/thawed bucket types are searchable. Frozen isn't searchable because its either deleted at that state or archived.

"The HTTP Event Collector (HEC) lets you send data and application events to a Splunk deployment over the HTTP and Secure HTTP (HTTPS) protocols. HEC uses a token-based authentication model. You can generate a token and then configure a logging library or HTTP client with the token to send data to HEC in a specific format. This process eliminates the need for a Splunk forwarder when you send application events."

Scrolling down to the section titled "Define the sed script in props.conf shows the correct syntax of an example which validates that the number/character /1 immediately preceded the /g

The app local directories move to second in the priority list. This is explained in the Splunk documentation, which states:

In a clustered environment, the precedence of configuration files changes slightly from that of a standalone deployment. The app local directories move to second in the priority list, after the peer-apps local directory. This means that any configuration files in the app local directories on the individual peers are overridden by configuration files of the same name and type in the peer-apps local directory on the master node.

--reset Reset the fishbucket for the given key or file in the btree. Resetting the checkpoint for an active monitor input reindexes data, resulting in increased license use. 1.1/Troubleshooting/CommandlinetoolsforusewithSupport

• A Heavy Forwarder is a Splunk instance that can parse and filter data before forwarding it to another Splunk instance, such as an indexer1. A Heavy Forwarder can also perform index-time field extractions using the TRANSFORMS setting2.
• The TRANSFORMS setting is used to configure data transformations in the transforms.conf file3. The transforms.conf file contains settings and values that you canuse to configure host and source type overrides, anonymize sensitive data, route events to different indexes, create index-time and search-time field extractions, and set up lookup tables3.
• The TRANSFORMS setting can be deployed to the Heavy Forwarder where the syslog files are being monitored, so that the logs can be rerouted based on the event message before they are forwarded to the indexer2. This can improve the performance and efficiency of data processing and indexing2.

"An Enterprise license stack with a license volume of 100 GB of data per day or more does not currently violate."

Immediately after installation, a universal forwarder will start generating internal Splunk logs that contain information about its own operation, such as configuration changes, data inputs, and forwarding activities1. These logs are stored in the $SPLUNK_HOME/var/log/splunk directory on the universal forwarder machine1. The universal forwarder will not automatically detect any indexers in its subnet and begin routing data, as it needs to be configured with the IP address and port number of the indexer or the deployment server2. The universal forwarder will not begin reading local files on its server, as it needs to be configured with the data inputs that specify which files or directories to monitor2. The universal forwarder will not send an email to the operator that the installation process has completed, as this is not a default behavior of the universal forwarder and would require additional configuration3.

The indexing pipeline and the parsing pipeline are the two pipelines that are responsible for transforming the raw data into events and preparing them for indexing. The indexing pipeline applies index-time settings, such as timestamp extraction, line breaking, host extraction, and source type recognition. The parsing pipeline applies parsing settings, such as field extraction, event segmentation, and event annotation.