Pass the Splunk Enterprise Certified Admin SPLK-1003 Questions and answers with ValidTests

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/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."

Using the provided DUO/Splunk reference URLhttps://duo.com/docs/splunk

Scroll down to the Network Diagram section and note the following 6 similar steps

1 - SPlunk connection initiated

2 - Primary authentication

3 - Splunk connection established to Duo Security over TCP port 443

4 - Secondary authentication via Duo Security's service

5 - Splunk receives authentication response

6 - Splunk session logged in.

The Data Preview feature should be used when validating the parsing of data. The Data Preview feature allows you to preview how Splunk software will index your data before you commit the data to an index. You can use the Data Preview feature to check the following aspects of data parsing1:

Timestamp recognition: You can verify that Splunk software correctly identifies the timestamps of your events and assigns them to the _time field.

Event breaking: You can verify that Splunk software correctly breaks your data stream into individual events based on the line breaker and should linemerge settings.

Source type assignment: You can verify that Splunk software correctly assigns a source type to your data based on the props.conf file settings. You can also manually override the source type if needed.

Field extraction: You can verify that Splunk software correctly extracts fields from your events based on the transforms.conf file settings. You can also use the Interactive Field Extractor (IFX) to create custom field extractions.

The Data Preview feature is available in Splunk Web under Settings > Data inputs > Data preview. You can access the Data Preview feature when you add a new input or edit an existing input1.

The other options are incorrect because:

A. When extracting fields for ingested data. The Data Preview feature can be used to verify the field extraction for data that has not been ingested yet, but not for data that has already been indexed. To extract fields from ingested data, you can use the IFX or the rex command in the Search app2.

B. When previewing the data before searching. The Data Preview feature does not allow you to search the data, but only to view how it will be indexed. To preview the data before searching, you can use the Search app and specify a time range or a sample ratio.

C. When reviewing data on the source host. The Data Preview feature does not access the data on the source host, but only the data that has been uploaded or monitored by Splunk software. To review data on the source host, you can use the Splunk Universal Forwarder or the Splunk Add-on for Unix and Linux.

The failOpen setting in the [duoMFA] stanza determines how Splunk software handles authentication requests when it cannot connect to the Duo Security service. If failOpen is set to True, as in this example, Splunk software allows users to log in without completing a multifactor challenge. If failOpen is set to False, Splunk software denies all logins when it cannot connect to Duo Security. This setting is independent of the authentication type or the secretKey protection. References = Connect to Duo Security for multifactor authentication

To remove a search peer from a search head in a distributed search environment using the CLI, Splunk provides the splunk remove search-server command. This command is executed on the search head and removes the specified search peer from its configuration.

The correct syntax for this command is:

splunk remove search-server -auth : :

Where:

: are the credentials for the search head.

: specifies the management port of the search peer to be removed.

For example:

bash

CopyEdit

splunk remove search-server -auth admin:password 123.45.67.89:8089

This command removes the search peer from the search head's configuration. It's important to note that this action does not affect the search peer itself; it merely removes the association from the search head.

When using a directory monitor input, specific source types can be selectively overridden using the props.conf file. According to the Splunk documentation1, “You can specify a source type for data based on its input and source. Specify source type for an input. You can assign the source type for data coming from a specific input, such as /var/log/. If you use Splunk Cloud Platform, use Splunk Web to define source types. If you use Splunk Enterprise, define source types in Splunk Web or by editing the inputs.conf configuration file.” However, this method is not very granular and assigns the same source type to all data from an input. To override the source type on a per-event basis, you need to use the props.conf file and the transforms.conf file2. The props.conf file contains settings that determine how the Splunk platform processes incoming data, such as how to segment events, extract fields, and assign source types2. The transforms.conf file contains settings that modify or filter event dataduring indexing or search time2. You can use these files to create rules that match specific patterns in the event data and assign different source types accordingly2. For example, you can create a rule that assigns a source type of apache_error to any event that contains the word “error” in the first line2.

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.