Get Started SPLK-1002 Exam [2025] Dumps Splunk PDF Questions [Q24-Q38]

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Get Started: SPLK-1002 Exam [2025] Dumps Splunk PDF Questions

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Splunk SPLK-1002 certification exam is a proctored exam that can be taken in person or online. SPLK-1002 exam is composed of 60 multiple-choice questions that must be answered within 90 minutes. The passing score for the exam is 70%, and the results are available immediately after completion.

The SPLK-1002 certification exam focuses on various topics related to Splunk, such as searching and reporting, knowledge objects, alerting, and data management. SPLK-1002 exam also covers advanced topics such as creating custom dashboards, data models, and using Splunk’s REST API. Splunk Core Certified Power User Exam certification exam is designed to validate the candidate’s skills in using Splunk to solve complex problems, making them a valuable asset to any organization. Passing the SPLK-1002 certification exam demonstrates that the candidate has the necessary skills and knowledge to use Splunk effectively and efficiently.

NEW QUESTION 24
Which statement is true?

Pivot is used for creating datasets.

Data model are randomly structured datasets.

Pivot is used for creating reports and dashboards.

In most cases, each Splunk user will create their own data model.

Reference:
Pivot is used for creating reports and dashboards. Pivot is a tool that allows you to create reports and dashboards from your data models without writing any SPL commands. Pivot can help you visualize and analyze your data using various options, such as filters, rows, columns, cells, charts, tables, maps, etc. Pivot can also help you accelerate your reports and dashboards by using summary data from your accelerated data models.
Pivot is not used for creating datasets or data models. Datasets are collections of events that represent your data in a structured and hierarchical way. Data models are predefined datasets for various domains, such as network traffic, web activity, authentication, etc. Datasets and data models can be created by using commands such as datamodel or pivot.

NEW QUESTION 25
Which of the following are valid options to speed up reports? (Select all the apply.)

Edit permissions

Edit description

Edit acceleration

Edit schedule

One of the valid options to speed up reports is to edit acceleration, which means that you can enable summary
indexing or data model acceleration for your reports to improve their performance2. Summary indexing allows
you to create reports that run over large amounts of data by storing the results of scheduled searches in a
summary index and using that index for faster reporting2. Data model acceleration allows you to create reports
that use data models by creating and storing summaries of the data model datasets and using them for faster
reporting2. Therefore, option C is correct, while options A, B and D are incorrect because they are not options
to speed up reports.

NEW QUESTION 26
The time range specified for a historical search defines the ____________ .——questionable on ans

Amount of data fetched from index matching that time range

Amount of data shown on the timeline as data streams in

Time range for the static results

The time range specified for a historical search defines the amount of data fetched from the index matching that time range2. A historical search is a search that runs over a fixed period of time in the past2. When you run a historical search, Splunk searches the index for events that match your search string and fall within the specified time range2. Therefore, option B is correct, while options A and C are incorrect because they are not what the time range defines for a historical search.

NEW QUESTION 27
The Field Extractor (FX) is used to extract a custom field. A report can be created using this custom field. The created report can then be shared with other people in the organization. If another person in the organization runs the shared report and no results are returned, why might this be? (select all that apply)

Fast mode is enabled.

The dashboard is private.

The extraction is private-

The person in the organization running the report does not have access to the index.

NEW QUESTION 28
When performing a regular expression (regex) field extraction using the Field Extractor (FX), what happens when the require option is used?

The regex can no longer be edited.

The field being extracted will be required for all future events.

The events without the required field will not display in searches.

Only events with the required string will be included in the extraction.

Explanation
The Field Extractor (FX) allows you to use regular expressions (regex) to extract fields from your events using a graphical interface or by manually editing the regex2. When you use the FX to perform a regex field extraction, you can use the require option to specify a string that must be present in an event for it to be included in the extraction2. This way, you can filter out events that do not contain the required string and focus on the events that are relevant for your extraction2. Therefore, option D is correct, while options A, B and C are incorrect.

NEW QUESTION 29
What happens to the original field name when a field alias is created?

The original field name is not affected by the creation of a field alias.

The original field name is replaced by the field alias within the index.

The original field name is italicized to indicate that it is not an alias.

The original field name still exists in the index but is not visible to the user at search time.

Creating a field alias in Splunk does not modify or remove the original field. Instead, the alias allows the same data to be accessed using a different field name without affecting the original field.
References:
Splunk Docs – Field aliases

NEW QUESTION 30
When used with the timechart command, which value of the limit argument returns all values?

limit=*

limit=all

limit=none

limit=0

The correct answer is D. limit=0. This is because the limit argument specifies the maximum number of series to display in the chart. If you set limit=0, no series filtering occurs and all values are returned. You can learn more about the limit argument and how it works with the agg argument from the Splunk documentation1. The other options are incorrect because they are not valid values for the limit argument. The limit argument expects an integer value, not a string or a wildcard. You can learn more about the syntax and usage of the timechart command from the Splunk documentation23.

NEW QUESTION 31
Which of the following actions can the aval command perform?

Remove fields from results.

Create or replace an existing field.

Group transactions by one or more fields.

Save SPL commands to be reused in other searches.

NEW QUESTION 32
Complete the search, …. | _____ failure>successes

Where

Any of the above

The where command can be used to complete the search below.
… | where failure>successes
The where command is a search command that allows you to filter events based on complex or custom criteri a. The where command can use any boolean expression or function to evaluate each event and determine whether to keep it or discard it. The where command can also compare fields or perform calculations on fields using operators such as >, <, =, +, -, etc. The where command can be used after any transforming command that creates a table or a chart.
The search string below does the following:
It uses … to represent any search criteria or commands before the where command.
It uses the where command to filter events based on a comparison between two fields: failure and successes.
It uses the greater than operator (>) to compare the values of failure and successes fields for each event.
It only keeps events where failure is greater than successes.

NEW QUESTION 33
Which of the following are valid options with the chart command ?(select all that apply)

usenull=f

useother=f

split=t

transcation=t

NEW QUESTION 34
Given the macro definition below, what should be entered into the Name and Arguments fileds to correctly configured the macro?

The macro name is sessiontracker and the arguments are action, JESSIONID.

The macro name is sessiontracker(2) and the arguments are action, JESSIONID.

The macro name is sessiontracker and the arguments are $action$, $JESSIONID$.

The macro name is sessiontracker(2) and the Arguments are $action$, $JESSIONID$.

Reference:
The macro definition below shows a macro that tracks user sessions based on two arguments: action and JSESSIONID.
sessiontracker(2)
The macro definition does the following:
It specifies the name of the macro as sessiontracker. This is the name that will be used to execute the macro in a search string.
It specifies the number of arguments for the macro as 2. This indicates that the macro takes two arguments when it is executed.
It specifies the code for the macro as index=main sourcetype=access_combined_wcookie action=$action$ JSESSIONID=$JSESSIONID$ | stats count by JSESSIONID. This is the search string that will be run when the macro is executed. The search string can contain any part of a search, such as search terms, commands, arguments, etc. The search string can also include variables for the arguments using dollar signs around them. In this case, action and JSESSIONID are variables for the arguments that will be replaced by their values when the macro is executed.
Therefore, to correctly configure the macro, you should enter sessiontracker as the name and action, JSESSIONID as the arguments. Alternatively, you can use sessiontracker(2) as the name and leave the arguments blank.

NEW QUESTION 35
Select this in the fields sidebar to automatically pipe you search results to the rare command

events with this field

rare values

top values by time

top values

The fields sidebar is a panel that shows the fields that are present in your search results2. The fields sidebar
has two sections: selected fields and interesting fields2. Selected fields are fields that you choose to display in
your search results by clicking on them in the fields sidebar or by using the fields command2. Interesting fields
are fields that appear in at least 20 percent of events or have high variability among values2. For each field in
the fields sidebar, you can select one of the following options: events with this field, rare values, top values by
time or top values2. If you select rare values, Splunk will automatically pipe your search results to the rare
command, which shows the least common values of a field2. Therefore, option B is correct, while options A,
C and D are incorrect because they do not pipe your search results to the rare command.

NEW QUESTION 36
Which of the following statements about tags is true?

Tags are case insensitive.

Tags are created at index time.

Tags can make your data more understandable.

Tags are searched by using the syntax tag: : <fieldneme>

Explanation
Tags are aliases or alternative names for field values in Splunk. They can make your data more understandable by using common or descriptive terms instead of cryptic or technical terms. For example, you can tag a field value such as “200” with “OK” or “success” to indicate that it is a HTTP status code for a successful request.
Tags are case sensitive, meaning that “OK” and “ok” are different tags. Tags are created at search time, meaning that they are applied when you run a search on your data. Tags are searched by using the syntax tag::<tagname>, where <tagname> is the name of the tag you want to search for.

NEW QUESTION 37
Scheduled alerts must be scheduled to run with cron job syntax only.

True

False

NEW QUESTION 38
Which of the following statements about tags is true?

Tags are case insensitive.

Tags are created at index time.

Tags can make your data more understandable.

Tags are searched by using the syntax tag: : <fieldneme>

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