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[Jul-2026] Pass SPLK-1002 Exam in First Attempt Updated SPLK-1002 Exam Questions [Q153-Q172]

[Jul-2026] Pass SPLK-1002 Exam in First Attempt Updated SPLK-1002 Exam Questions [Q153-Q172]

July 22, 2026 adminSPLK-1002, SplunkSPLK-1002 download pdf, SPLK-1002 latest exam testking, SPLK-1002 latest test lab questions, SPLK-1002 learning mode, SPLK-1002 reliable exam collection sheet, SPLK-1002 reliable test papers, SPLK-1002 reliable test simulator free, SPLK-1002 valid test topicsLeave a Comment on [Jul-2026] Pass SPLK-1002 Exam in First Attempt Updated SPLK-1002 Exam Questions [Q153-Q172]

[Jul-2026] Pass SPLK-1002 Exam in First Attempt Updated SPLK-1002 Exam Questions

Splunk Core Certified Power User Dumps SPLK-1002 Exam for Full Questions – Exam Study Guide

QUESTION 153
What does the fillnull command replace null values with, if the value argument is not specified?

 
 
 
 
Explanation
The fillnull command replaces null values with 0 by default, if the value argument is not specified. You can use the value argument to specify a different value to replace null values with, such as N/A or NULL.

QUESTION 154
Marty has multiple data sources that contain fields with IP Address values. What knowledge object should he use to normalize the fields so his data is CIM compliant?

 
 
 
 
Field aliases are used to normalize different field names that contain the same type of data (like IP addresses) across multiple sourcetypes or sources, making the data CIM compliant without re-extracting the fields.
Reference:
Splunk Power User Study Guide, CIM Compliance
Splunk Docs: Field Aliases for CIM
“Field aliases normalize field names across data sources for CIM compliance.”

QUESTION 155
What does the following search do?

 
 
 
 
The search string below creates a table of the total count of mysterymeat corndogs split by user.
| stats count by user | where corndog=mysterymeat
The search string does the following:
It uses the stats command to calculate the count of events for each value of the user field. The stats command creates a table with two columns: user and count.
It uses the where command to filter the results by the value of the corndog field. The where command only keeps the rows where corndog equals mysterymeat.
Therefore, the search string creates a table of the total count of mysterymeat corndogs split by user.

QUESTION 156
Fast, optimized and verbose are all selectable search modes.

 
 

QUESTION 157
Which of the following is true about data sets used in the Pivot tool?

 
 
 
 
In Splunk, data sets used in the Pivot tool are derived from data models. The Pivot tool allows users to create reports and visualizations based on the structured information available in data models.
Reference:
Splunk Docs – Pivot tool

QUESTION 158
Which field will be used to populate the field if the productName and product:d fields have values for a given event?
| eval productINFO=coalesco(productName,productid)

 
 
 
 
Explanation
The correct answer is B. The value for the productName field because it appears first.
The coalesce function is an eval function that takes an arbitrary number of arguments and returns the first value that is not null. A null value means that the field has no value at all, while an empty value means that the field has a value, but it is “” or zero-length1.
The coalesce function can be used to combine fields that have different names but represent the same data, such as IP address or user name. The coalesce function can also be used to rename fields for clarity or convenience2.
The syntax for the coalesce function is:
coalesce(<field1>,<field2>,…)
The coalesce function will return the value of the first field that is not null in the argument list. If all fields are null, the coalesce function will return null.
For example, if you have a set of events where the IP address is extracted to either clientip or ipaddress, you can use the coalesce function to define a new field called ip, that takes the value of either clientip or ipaddress, depending on which is not null:
| eval ip=coalesce(clientip,ipaddress)
In your example, you have a set of events where the product name is extracted to either productName or productid, and you use the coalesce function to define a new field called productINFO, that takes the value of either productName or productid, depending on which is not null:
| eval productINFO=coalesce(productName,productid)
If both productName and productid fields have values for a given event, the coalesce function will return the value of the productName field because it appears first in the argument list. The productid field will be ignored by the coalesce function.
Therefore, the value for the productName field will be used to populate the productINFO field if both fields have values for a given event.
References:
Search Command> Coalesce
USAGE OF SPLUNK EVAL FUNCTION : COALESCE

QUESTION 159
which of the following commands are used when creating visualizations(select all that apply.)

 
 
 
 
The following commands are used when creating visualizations: geom, geostats, and iplocation.
Visualizations are graphical representations of data that show trends, patterns, or comparisons. Visualizations can have different types, such as charts, tables, maps, etc. Visualizations can be created by using various commands that transform the data into a suitable format for the visualization type. Some of the commands that are used when creating visualizations are:
* geom: This command is used to create choropleth maps that show geographic regions with different colors based on some metric. The geom command takes a KMZ file as an argument that defines the geographic regions and their boundaries. The geom command also takes a field name as an argument that specifies the metric to use for coloring the regions.
* geostats: This command is used to create cluster maps that show groups of events with different sizes
* and colors based on some metric. The geostats command takes a latitude and longitude field as arguments that specify the location of the events. The geostats command also takes a statistical function as an argument that specifies the metric to use for sizing and coloring the clusters.
* iplocation: This command is used to create location-based visualizations that show events with different attributes based on their IP addresses. The iplocation command takes an IP address field as an argument and adds some additional fields to the events, such as Country, City, Latitude, Longitude, etc. The iplocation command can be used with other commands such as geom or geostats to create maps based on IP addresses.

QUESTION 160
What are the two parts of a root event dataset?

 
 
 
 
Reference:
A root event dataset is the base dataset for a data model that defines the source or sources of the data and the constraints and fields that apply to the data1. A root event dataset has two parts: constraints and fields1. Constraints are filters that limit the data to a specific index, source, sourcetype, host or search string1. Fields are the attributes that describe the data and can be extracted, calculated or looked up1. Therefore, option C is correct, while options A, B and D are incorrect.

QUESTION 161
A report scheduled to run every 15 mins. but takes 17 mins. to complete is in danger of being_____.

 
 
 
 
A report that is scheduled to run every 15 minutes but takes 17 minutes to complete is in danger of being skipped or deferred2. This means that Splunk may skip some scheduled runs of the report if they overlap with previous runs that are still in progress or defer them until the previous runs are finished2. This can affect the accuracy and timeliness of the report results and notifications2. Therefore, option A is correct, while options B, C and D are incorrect because they are not consequences of a report taking longer than its schedule interval.

QUESTION 162
A user wants to convert field values to string and also to sort on those value. Which command should be used first, the eval or the sort?

 
 
 
 

QUESTION 163
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 ina search string2. Therefore, option E is correct, while options A, B, C and D are incorrect because they are valid comparison operators in Splunk

QUESTION 164
When using the Field Extractor (FX), which of the following delimiters will work? (select all that apply)

 
 
 
 
Reference: https://docs.splunk.com/Documentation/Splunk/8.0.3/Knowledge/FXSelectMethodstep
https://community.splunk.com/t5/Splunk-Search/Field-Extraction-Separate-on-Colon/m-p/29751 The Field Extractor (FX) is a tool that helps you extract fields from your data using delimiters or regular expressions. Delimiters are characters or strings that separate fields in your data. Some of the delimiters that will work with FX are:
Tabs: horizontal spaces that align text in columns.
Pipes: vertical bars that often indicate logical OR operations.
Spaces: blank characters that separate words or symbols.
Therefore, the delimiters A, B, and D will work with FX.

QUESTION 165
Which of the following search modes automatically returns all extracted fields in the fields sidebar?

 
 
 
Explanation
The search modes determine how Splunk processes your search and displays your results2. There are three search modes: Fast, Smart and Verbose2. The search mode that automatically returns all extracted fields in the fields sidebar is Verbose2. The Verbose mode shows all the fields that are extracted from your events, including default fields, indexed fields and search-time extracted fields2. The fields sidebar is a panel that shows the fields that are present in your search results2. Therefore, option C is correct, while options A and B are incorrect because they are not search modes that automatically return all extracted fields in the fields sidebar.

QUESTION 166
When using the Field Extractor (FX), which of the following delimiters will work? (select all that apply)

 
 
 
 
Reference:https://docs.splunk.com/Documentation/Splunk/8.0.3/Knowledge/FXSelectMethodstep

QUESTION 167
Which statement is true?

 
 
 
 
Reference:https://docs.splunk.com/Documentation/Splunk/8.0.3/Pivot/IntroductiontoPivot

QUESTION 168
Which of the following statements describe the search string below?
| datamodel Application_State All_Application_State search

 
 
 
 

QUESTION 169
For the following search, which command would further filter for only IP addresses present more than five times?

 
 
 
 
To filter for only IP addresses that appear more than five times in the search results for index=games, you can use a combination of the stats and where commands. The stats command counts the occurrences of each IP address and assigns the count to IP_count. The where command then filters the results to include only those IP addresses with a count greater than five.
Here is how the complete search would look:
index=games | stats count as IP_count by IP | where IP_count > 5
Reference:
Splunk Docs: stats command
Splunk Docs: where command
Splunk Answers: Filtering results using stats and where commands

QUESTION 170
Which of the following is NOT a stats function:

 
 
 
 
The stats command is used to calculate summary statistics for your search results such as count, sum, avg, min, max and more2. The stats command supports various functions that you can use to perform calculations on your fields2. However, addtotals is not a stats function but a separate command that adds a row or column with the total of the values in each group2. Therefore, option B is correct, while options A, C and D are incorrect because they are valid stats functions.

QUESTION 171
When multiple event types with different color values are assigned to the same event, what determines the color displayed for the events?

 
 
 
 
Reference: https://docs.splunk.com/Documentation/SplunkCloud/8.0.2003/Knowledge/Defineeventtypes When multiple event types with different color values are assigned to the same event, the color displayed for the events is determined by the priority of the event types. The priority is a numerical value that indicates how important an event type is. The higher the priority, the more important the event type. The event type with the highest priority will determine the color of the event.

QUESTION 172
All users by default have WRITE permission to ALL knowledge objects.

 
 

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