Splunk Core Certified Advanced Power User SPLK-1004 Exam Questions

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Total 120 questions
Question 1

What is the value of base lispy in the Search Job Inspector for the search index=sales clientip=170.192.178.10?



Answer : A

The base lispy expression represents how Splunk parses and simplifies a search command. In this case, the lispy format shows how Splunk is breaking down the search terms to effectively perform the search.


Question 2

The field products contains a multivalued field containing the names of products. What is the result of the command mvexpand products limit=?



Answer : B

Comprehensive and Detailed Step by Step

The mvexpand command in Splunk is used to expand multivalue fields into separate events. When you use mvexpand on a field like products, which contains multiple values, it creates a new event for each value in the multivalue field. For example, if the products field contains the values [productA, productB, productC], running mvexpand products will create three separate events, each containing one of the values (productA, productB, or productC).

The optional limit=<x> parameter specifies the maximum number of values to expand. If limit=2, only the first two values (productA and productB) will be expanded into separate events, and any remaining values will be ignored.

Key points about mvexpand:

It works only on multivalue fields.

It does not modify the original field but creates new events based on its values.

The limit parameter controls how many values are expanded.

Example:

| makeresults

| eval products='productA,productB,productC'

| makemv delim=',' products

| mvexpand products

This will produce three separate events, one for each product.


Splunk Documentation on mvexpand: https://docs.splunk.com/Documentation/Splunk/latest/SearchReference/mvexpand

Question 3

What is returned when Splunk finds fewer than the minimum matches for each lookup value?



Answer : A

When Splunk's lookup feature finds fewer than the minimum matches for each lookup value, it returns the default value NULL for unmatched entries until the minimum match threshold is reached.


Question 4

Consider the following search:

(index=_internal log group=tcpin connections) earliest

| stats count as _count by sourceHost guid fwdType version

| eventstats dc(sourceHost) as dc_sourceHost by guid

| where dc_sourceHost > 1

| fields - dc_sourceHost

| xyseries guid fwdType sourceHost

| search guid="00507345-CE09-4A5E-428-D3E8718CB065"

| appendpipe [ stats count | eval "Duplicate GUID" = if(count==0, "Yes", "No") ]

Which of the following are transforming commands?



Answer : C

In Splunk, transforming commands are those that process events to produce statistical summaries, often changing the shape of the data. Among the commands listed:

stats is a transforming command that computes aggregate statistics, such as count, sum, average, etc., and transforms the data into a tabular format.

xyseries is also a transforming command that reshapes the data into a matrix format suitable for charting, converting three columns into a two-dimensional table.

The other commands:

where and search are filtering commands.

fields is a field selector command.

appendpipe is a generating command.

eval is an evaluation command.

eventstats is a reporting command that adds summary statistics to each event.


stats - Splunk Documentation

xyseries - Splunk Documentation

Question 5

What arguments are required when using the spath command?



Answer : C

The spath command in Splunk is used to extract fields from structured data formats like JSON or XML. No arguments are required for basic usage, as spath automatically parses the _raw field by default.

Here's why this works:

Default Behavior : By default, spath extracts fields from the _raw field of events without requiring any arguments. It intelligently parses JSON or XML data and creates new fields based on the structure.

Optional Arguments : While spath does not require arguments, you can optionally specify:

input: To specify a field other than _raw to parse.

output: To rename the extracted fields.

path: To extract specific subfields within the structured data.

Example:

| makeresults

| eval _raw='{\'name\':\'Alice\',\'age\':30}'

| spath


Splunk Documentation on spath: https://docs.splunk.com/Documentation/Splunk/latest/SearchReference/spath

Splunk Documentation on Parsing Structured Data: https://docs.splunk.com/Documentation/Splunk/latest/Data/Extractfieldsfromstructureddata

Question 6

What is an example of the simple XML syntax for a base search and its post-process search?



Answer : A

In Splunk, a base search is defined using <search id='myBaseSearch'> and is referenced by post-process searches using the base attribute, as seen in the syntax <search base='myBaseSearch'>.


Question 7

What function can be used as an alternative to coalesce to return the first value from a list of fields that is not null?



Answer : B

Comprehensive and Detailed Step by Step

The case function can be used as an alternative to coalesce to return the first non-null value. While coalesce(field1, field2, field3) will return the first non-null value, case(condition1, value1, condition2, value2, ...) allows more flexibility by evaluating conditions.


Splunk Documentation - case Function

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