SPLK-1003 Splunk Enterprise Certified Admin Questions and Answers

URL https://docs.splunk.com/Documentation/Splunk/8.2.2/DistSearch/Configuredistributedsearch

"To activate distributed search, you add search peers, or indexers, to a Splunk Enterprise instance that you desingate as a search head. You do this by specifying each search peer manually."

 [monitor::/opt/log/crashlog/Jan27crash.txt]. This stanza means that Splunk is monitoring a single local file named Jan27crash.txt in the /opt/log/crashlog/ directory1. The monitor input type is used to monitor files and directories for changes and index any new data that is added2.

https://docs.splunk.com/Documentation/Splunk/8.1.2/Admin/Aboutlicenseviolations

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

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 can use 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.

SAML is an open standard for exchanging authentication and authorization data between parties, especially between an identity provider and a service provider1. SAML supports multi-factor authentication by allowing the identity provider to require the user to present two or more factors of evidence to prove their identity2. For example, the user may need to enter a password and a one-time code sent to their phone, or scan their fingerprint and face.

https://docs.splunk.com/Documentation/Splunk/8.2.2/Updating/Aboutdeploymentserver

"The deployment server is the tool for distributing configurations, apps, and content updates to groups of Splunk Enterprise instances."

https://docs.splunk.com/Documentation/Splunk/8.0.5/Indexer/Howindexingworks

https://docs.splunk.com/Documentation/Splunk/latest/Data/Whitelistorblacklistspecificincomingdata#Include_or_exclude_specific_incoming_data

https://docs.splunk.com/Documentation/Splunk/latest/Deploy/Datapipeline "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."

 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]

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.

The correct answer is D. The timezone of the forwarder will be added to the event as part of indexing.

According to the Splunk documentation1, Splunk software determines the time zone to assign to a timestamp using the following logic in order of precedence:

Use the time zone specified in raw event data (for example, PST, -0800), if present.

Use the TZ attribute set in props.conf, if the event matches the host, source, or source type that the stanza specifies.

If the forwarder and the receiving indexer are version 6.0 or higher, use the time zone that the forwarder provides.

Use the time zone of the host that indexes the event.

In this case, the event does not have a time zone specified in the raw data, nor does it have a TZ attribute set in props.conf. Therefore, the next rule applies, which is to use the time zone that the forwarder provides. A universal forwarder is a lightweight agent that can forward data to a Splunk deployment, and it knows its system time zone and sends that information along with the events to the indexer2. The indexer then converts the event time to UTC and stores it in the _time field1.

The other options are incorrect because:

A. Universal Coordinated Time (UTC) is not the time zone that Splunk adds to the event as part of indexing, but rather the time zone that Splunk uses to store the event time in the _time field. Splunk software converts the event time to UTC based on the time zone that it determines from the rules above1.

B. The timezone of the search head is not relevant for indexing, as the search head is a Splunk component that handles search requests and distributes them to indexers, but it does not process incoming data3. The search head uses the user’s timezone setting to determine the time range in UTC that should be searched and to display the timestamp of the results in the user’s timezone2.

C. The timezone of the indexer that indexed the event is only used as a last resort, if none of the other rules apply. In this case, the forwarder provides the time zone information, so the indexer does not use its own time zone1.

https://docs.splunk.com/Documentation/Splunk/8.0.5/Deploy/Datapipeline

"In the input segment, Splunk software consumes data. It acquires the raw data stream from its source, breaks in into 64K blocks, and annotates each block with some metadata keys."

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 correct methods to connect a deployment client to a deployment server are A and C. You can either run the command splunk set deploy-poll : from the command line of the deployment client1 or create and edit a deploymentclient.conf file in $SPLUNK_HOME/etc/system/local on the deployment client2. Both methods require you to specify the IP address, hostname, and management port of the deployment server that you want the client to connect to.

https://docs.splunk.com/Documentation/Splunk/latest/Data/Configureeventlinebreaking

Attribute : SHOULD_LINEMERGE = [true|false]

Description : When set to true, the Splunk platform combines several input lines into a single event, with configuration based on the settings described in the next section.

REGEX =

* Enter a regular expression to operate on your data.

FORMAT =

* NOTE: This option is valid for both index-time and search-time field extraction. Index-time field extraction configuration require the FORMAT settings. The FORMAT settings is optional for search-time field extraction configurations.

* This setting specifies the format of the event, including any field names or values you want to add.

DEST_KEY =

* NOTE: This setting is only valid for index-time field extractions.

* Specifies where SPLUNK software stores the expanded FORMAT results in accordance with the REGEX match.

IgnoreOlderThan: This setting filters files for indexing based on their age. It does not prevent indexing of old data already in the file.

allowList: This setting allows specifying patterns to include files for monitoring, but it does not control indexing of pre-existing data.

monitor: This is the default method for monitoring files but does not address indexing pre-existing data.

followTail: This attribute, when set in inputs.conf, ensures that Splunk starts reading a file from the end (tail) and does not index existing old data. It is ideal for scenarios with large files where only new updates are relevant.

References:

Splunk Docs: Monitor text files

Splunk Docs: Configure followTail in inputs.conf

According to the Splunk documentation1, event processing occurs at the parsing phase of the data pipeline. The parsing phase is where Splunk software processes incoming data into individual events, extracts timestamp information, assigns source types, and performs other tasks to make the data searchable1. The parsing phase can also apply field extractions, event type matching, and other transformations to the events2.

https://docs.splunk.com/Documentation/Splunk/8.2.2/Data/Howdoyouwanttoadddata

The fastest way to add data to your Splunk Cloud instance or Splunk Enterprise deployment is to use Splunk Web. After you access the Add Data page, choose one of three options for getting data into your Splunk platform deployment with Splunk Web: (1) Upload, (2) Monitor, (3) Forward The Upload option lets you upload a file or archive of files for indexing. When you choose Upload option, Splunk Web opens the upload process page. Monitor. For Splunk Enterprise installations, the Monitor option lets you monitor one or more files, directories, network streams, scripts, Event Logs (on Windows hosts only), performance metrics, or any other type of machine data that the Splunk Enterprise instance has access to.

https://docs.splunk.com/Documentation/Splunk/8.2.2/Knowledge/Usedefaultfields 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

https://docs.splunk.com/Documentation/Splunk/8.0.5/Updating/Updateconfigurations First line says it all: "The deployment server distributes deployment apps to clients."

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

 The eval command is a distributable streaming command, which means that it can run on the search peers in a distributed environment1. The search peers are the indexers that store the data and perform the initial steps of the search processing2. The eval command calculates an expression and puts the resulting value into a search results field1. In your search, you are using the eval command to create a new field called “responsible_team” based on the values in the “account” field.

The HTTP Event Collector (HEC) supports indexer acknowledgment to confirm event delivery. Each acknowledgment is associated with a unique GUID (Globally Unique Identifier).

GUID ensures events are not re-indexed in the case of retries.

Incorrect Options:

B, C, D: These are not valid channel values in HEC acknowledgments.

References:

Splunk Docs: Use indexer acknowledgment with HTTP Event Collector

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.

When there are conflicting settings within two or more configuration files, the setting with the highest precedence is used. The precedence of configuration files is determined by a combination of the file type, the directory location, and the alphabetical order of the file names.

https://docs.splunk.com/Documentation/Splunk/8.2.2/DistSearch/Whatisdistributedsearch

Parallel reduce search processing If you struggle with extremely large high-cardinality searches, you might be able to apply parallel reduce processing to them to help them complete faster. You must have a distributed search environment to use parallel reduce search processing.

curl “https://mysplunkserver.example.com:8088/services/collector” \ -H “Authorization: Splunk DF4S7ZE4-3GS1-8SFS-E777-0284GG91PF67” \ -d ‘{“event”: “Hello World”}, {“event”: “Hola Mundo”}, {“event”: “Hallo Welt”}’. This is the correct curl command to send multiple events through HTTP Event Collector (HEC), which is a token-based API that allows you to send data to Splunk Enterprise from any application that can make an HTTP request. The command has the following components:

The URL of the HEC endpoint, which consists of the protocol (https), the hostname or IP address of the Splunk server (mysplunkserver.example.com), the port number (8088), and the service name (services/collector).

The header that contains the authorization token, which is a unique identifier that grants access to the HEC endpoint. The token is prefixed with Splunk and enclosed in quotation marks. The token value (DF4S7ZE4-3GS1-8SFS-E777-0284GG91PF67) is an example and should be replaced with your own token value.

The data payload that contains the events to be sent, which are JSON objects enclosed in curly braces and separated by commas. Each event object has a mandatory field called event, which contains the raw data to be indexed. The event value can be a string, a number, a boolean, an array, or another JSON object. In this case, the event values are strings that say hello in different languages.

https://www.splunk.com/view/SP-CAAAGPR

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

https://answers.splunk.com/answers/131127/scripted-authentication.html

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.

"Where to place the scripts for scripted inputs. The script that you refer to in $SCRIPT can reside in only one of the following places on the host file system:

$SPLUNK_HOME/etc/system/bin

$SPLUNK_HOME/etc/apps//bin

$SPLUNK_HOME/bin/scripts

As a best practice, put your script in the bin/ directory that is nearest to the inputs.conf file that calls your script on the host file system."

In Splunk Enterprise, when you configure the server.conf file with strict pool quota=false, it means that license pools are allowed to share the total available license quota rather than being restricted to their individually allocated quotas. However, this does not prevent pools from issuing warnings if they exceed their allocated limits.

Given the environment with a 1000 GB/day license split into three pools:

Pool X: 500 GB/day license, 100 GB used

Pool Y: 350 GB/day license, 400 GB used

Pool Z: 150 GB/day license, 300 GB used

Let's analyze the usage:

Pool X is allocated 500 GB/day but has only used 100 GB, well within its limit.

Pool Y is allocated 350 GB/day but has used 400 GB, which exceeds its limit by 50 GB.

Pool Z is allocated 150 GB/day but has used 300 GB, which exceeds its limit by 150 GB.

Even with strict pool quota=false, pools Y and Z have exceeded their individual allocated quotas and will issue warnings. Pool X has not exceeded its quota and thus will not issue any warnings. Therefore, the pools that are issued warnings are Y and Z.

https://docs.splunk.com/Documentation/Splunk/8.0.5/Admin/Aboutlicenseviolations

"Enterprise Trial license. If you get five or more warnings in a rolling 30 days period, you are in violation of your license. Dev/Test license. If you generate five or more warnings in a rolling 30-day period, you are in violation of your license. Developer license. If you generate five or more warnings in a rolling 30-day period, you are in violation of your license. BUT for Free license. If you get three or more warnings in a rolling 30 days period, you are in violation of your license."

https://docs.splunk.com/Documentation/Splunk/latest/Forwarding/Typesofforwarders

"A heavy forwarder parses data before forwarding it and can route data based on criteria such as source or type of event."

https://docs.splunk.com /Documentation/SplunkCloud/8.2.2106/Admin/ConcurrentLimits

"Set limits for concurrent scheduled searches. You must have the edit_search_concurrency_all and edit_search_concurrency_scheduled capabilities to configure these settings."

https://docs.splunk.com/Documentation/Splunk/7.3.1/DistSearch/Howuserscancontroldistributedsearches

"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."

https://docs.splunk.com/Documentation/Splunk/8.1.0/Data/ConsiderationsfordecidinghowtomonitorWindowsdata

"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."