[Q17-Q33] 100% Passing Guarantee – Brilliant SPLK-1002 Exam Questions PDF [Jul-2026]

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100% Passing Guarantee – Brilliant SPLK-1002 Exam Questions PDF [Jul-2026]

SPLK-1002 Dumps 2026 – NewSplunk SPLK-1002 Exam Questions

Splunk SPLK-1002 exam is a certification test designed to assess the skills and knowledge of Splunk Core Certified Power Users. SPLK-1002 exam is ideal for professionals who work with Splunk regularly and want to demonstrate their expertise in the platform. Splunk is a popular data analytics platform that enables users to collect, monitor and analyze data from various sources. The SPLK-1002 exam is a great way for individuals to prove their proficiency in Splunk and advance their careers.

Splunk is a data analytics tool that allows organizations to collect, analyze, and visualize large amounts of data from various sources. The SPLK-1002 certification exam tests the candidate’s ability to use Splunk to extract meaningful insights from this data and make informed business decisions based on the results.

NEW QUESTION 17
What approach is recommended when using the Splunk Common Information Model (CIM) add-on to normalize data?

Consult the CIM data model reference tables.

Run a search using the authentication command.

Consult the CIM event type reference tables.

Run a search using the correlation command.

The recommended approach when using the Splunk Common Information Model (CIM) add-on to normalize data is A. Consult the CIM data model reference tables. This is because the CIM data model reference tables provide detailed information about the fields and tags that are expected for each dataset in a data model. By consulting the reference tables, you can determine which data models are relevant for your data source and how to map your data fields to the CIM fields. You can also use the reference tables to validate your data and troubleshoot any issues with normalization. You can find the CIM data model reference tables in the Splunk documentation1 or in the Data Model Editor page in Splunk Web2. The other options are incorrect because they are not related to the CIM add-on or data normalization. The authentication command is a custom command that validates events against the Authentication data model, but it does not help you to normalize other types of data. The correlation command is a search command that performs statistical analysis on event fields, but it does not help you to map your data fields to the CIM fields. The CIM event type reference tables do not exist, as event types are not part of the CIM add-on.

NEW QUESTION 18
Which is not a comparison operator in Splunk

A comparison operator is a symbol that compares two values and returns a Boolean result (true or
false)2. Splunk supports various comparison operators such as <, >, =, !=, <=, >=, IN and LIKE2. However,
?= is not a valid comparison operator in Splunk and will cause a syntax error if used in a search string2.
Therefore, option E is correct, while options A, B, C and D are incorrect because they are valid comparison
operators in Splunk

NEW QUESTION 19
A user wants a table that will show the total revenue made for each product in each sales region. Which would be the correct SPL query to use?

index=X sourcetype=Y | chart sum(product) by price AND region

index=X | chart sum(price) by product, region

index=X | chart total(product) over price by region

index=X | chart total(price) by product, region

The chart command with sum(price) by product, region will return a table where the total revenue (price) is aggregated (sum) for each product and sales region. This is the correct way to aggregate data in Splunk.
Reference:
Splunk Docs – chart command

NEW QUESTION 20
Which of the following statements describe data model acceleration? (select all that apply)

Root events cannot be accelerated.

Accelerated data models cannot be edited.

Private data models cannot be accelerated.

You must have administrative permissions or the accelerate_dacamodel capability to accelerate a data model.

NEW QUESTION 21
When defining a macro, what are the required elements?

Name and arguments.

Name and a validation error message.

Name and definition.

Definition and arguments.

When defining a search macro, the required elements are the name and the definition of the macro. The name is a unique identifier for the macro that can be used to invoke it in other searches. The definition is the search string that the macro expands to when referenced. The arguments, validation expression, and validation error message are optional elements that can be used to customize the macro behavior and input validation2
1: Splunk Core Certified Power User Track, page 9. 2: Splunk Documentation, Define search macros in Settings.

NEW QUESTION 22
Which of the following data model are included In the Splunk Common Information Model (CIM) add-on?
(select all that apply)

Alerts

Database

User permissions

Reference:https://docs.splunk.com/Documentation/CIM/4.15.0/User/Overview

NEW QUESTION 23
__________ datasets can be added to root dataset to narrow down the search

parent

extracted

event

child

Child datasets can be added to root datasets to narrow down the search. Datasets are collections of events that represent your data in a structured and hierarchical way. Datasets can be created by using commands such as datamodel or pivot. Datasets can have different types, such as events, search, transaction, etc. Datasets can also have different levels, such as root or child. Root datasets are base datasets that contain all events from a data model or an index. Child datasets are derived datasets that contain a subset of events from a parent dataset based on some constraints, such as search terms, fields, time range, etc. Child datasets can be added to root datasets to narrow down the search and filter out irrelevant events.

NEW QUESTION 24
Which of the following statements are true for this search? (Select all that apply.) SEARCH:
sourcetype=access* |fields action productld status

is looking for all events that include the search terms: fields AND action AND productld AND status

users the table command to improve performance

limits the fields are extracted

returns a table with 3 columns

NEW QUESTION 25
When using multiple expressions in a single eval command, which delimiter is used?

, (comma)

I (pipe)

/ (forward slash)

: (colon)

When using multiple expressions in a single eval command in Splunk, the delimiter used is a comma (,). This allows for the execution of multiple operations within a single eval statement, separating each operation clearly.
References:
* Splunk Docs: Eval command
* Splunk Answers: Multiple expressions in eval

NEW QUESTION 26
How are arguments defined within the macro search string?

$arg$

‘arg’

%arg%

“arg”

Arguments are defined within the macro search string by using dollar signs on either side of the argument name, such as arg1 or fragment.
Reference
Search macro examples
Define search macros in Settings
Use search macros in searches

NEW QUESTION 27
If no value is specified with the fillnullcommand, what default value will be used?

N/A

–

NULL

Explanation/Reference: https://answers.splunk.com/answers/653427/fillnull-doesnt-work-without-specfying-a-field.html

NEW QUESTION 28
When using a field value variable with a Workflow Action, which punctuation mark will escape the data

When using a field value variable with a Workflow Action, the exclamation mark (!) will escape the data. A Workflow Action is a custom action that performs a task when you click on a field value in your search results. A Workflow Action can be configured with various options, such as label name, base URL, URI parameters, post arguments, app context, etc. A field value variable is a placeholder for the field value that will be used to replace the variable in the URL or post argument of the Workflow Action. A field value variable is written as fieldname, where field_name is the name of the field whose value will be used. However, if the field value contains special characters that need to be escaped, such as spaces, commas, etc., you can use the exclamation mark (!) before and after the field value variable to escape the data. For example, if you have a field value variable host, you can write it as !$host! to escape any special characters in the host field value.
Therefore, option B is the correct answer.

NEW QUESTION 29
The macro weekly_sales (2) contains the search string:
index-games I eval Product Sales = $price$ $AmountS01d$
Which of the following will return results?

‘weekly_sales(3.99, 10) ‘

‘weekly_sales($3.99$, $10$)

‘weekly_sales (3.99, 10)

‘weekly_sales(3)

The correct answer is C. ‘weekly_sales (3.99, 10)’. This is because search macros accept arguments without quotation marks or dollar signs, and the number of arguments must match the number of parameters defined in the macro. The other options are incorrect because they either use quotation marks or dollar signs around the arguments, or they provide a different number of arguments than the macro expects. You can learn more about how to use search macros in searches from the Splunk documentation1.

NEW QUESTION 30
When creating a data model, which root dataset requires at least one constraint?

Root transaction dataset

Root event dataset

Root child dataset

Root search dataset

The correct answer is B. Root event dataset. This is because root event datasets are defined by a constraint that
filters out events that are not relevant to the dataset. A constraint for a root event dataset is a simple search that
returns a fairly wide range of data, such assourcetype=access_combined. Without a constraint, a root event
dataset would include all the events in the index, which is not useful for data modeling.You can learn more
about how to design data models and add root event datasets from the Splunk documentation1. The other
options are incorrect because root transaction datasets and root search datasets have different ways of defining
their datasets, such as transaction definitions or complex searches, and root child datasets are not a valid type
of root dataset.

NEW QUESTION 31
If a search returns ____________ it can be viewed as a chart.

timestamps

statistics

events

keywords

If a search returns statistics, it can be viewed as a chart2. Statistics are tabular data that show the relationship between two or more fields2. You can create statistics by using commands such as stats, chart or timechart2. You can view statistics as a chart by selecting the Visualization tab in the Search app and choosing a chart type such as column, line or pie2. Therefore, option B is correct, while options A, C and D are incorrect because they are not types of data that can be viewed as a chart.

NEW QUESTION 32
After manually editing a regular expression (regex), which of the following statements is true?

Changes made manually can be reverted in the Field Extractor (FX) UI.

It is no longer possible to edit the field extraction in the Field Extractor (FX) UI.

It is not possible to manually edit a regular expression (regex) that was created using the Field Extractor (FX) UI.

The Field Extractor (FX) UI keeps its own version of the field extraction in addition to the one that was manually edited.

Explanation

NEW QUESTION 33
How does a user display a chart in stack mode?

By using the stack command.

By turning on the Use Trellis Layout option.

By changing Stack Mode in the Format menu.

You cannot display a chart in stack mode, only a timechart.

A chart is a graphical representation of your search results that shows the relationship between two or more
fields2. You can display a chart in stack mode by changing the Stack Mode option in the Format menu2. Stack
mode allows you to stack multiple series on top of each other in a chart to show the cumulative values of each
series2. Therefore, option C is correct, while options A, B and D are incorrect because they are not ways to
display a chart in stack mode.

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