Splunk Core Certified Power User Certification Exam Dumps & Questions 2026
Splunk Core Certified Power User Certification Exam Dumps & Questions 2026
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Question 1:
which of the following commands are used when creating visualizations(select all that apply.)?
A. iplocation
B. Choropleth
C. Geom
D. Geostats
Answer: B, C and D
Explanation:
B. Choropleth: This is a type of visualization that uses geographic boundaries to display data. It is used to visualize data that is associated with specific geographic locations.
C. Geom: This is a type of visualization that uses geographic coordinates to display data. It is used to visualize data that is associated with specific geographic locations.
D. Geostats: This is a type of visualization that uses geographic coordinates to display data. It is used to visualize data that is associated with specific geographic locations.
The incorrect options are:
A. iplocation: This is not a type of visualization. It is a command used to geolocate IP addresses in Splunk.
These commands are used to create visualizations that display data in a geographic context, which is useful for understanding the spatial distribution of data.
Question 2:
Which of the following is one of the pre-configured data models included in the Splunk Common Information Model (CIM) add-on?
A. Authorization
B. Accounting
C. Authentication
D. Access
Answer: C
Explanation:
The Authentication data model is one of the pre-configured data models included in the Splunk Common Information Model (CIM) Add-on. It is used to standardize and normalize authentication-related events, such as user logins, failures, and access attempts across different data sources.
Incorrect Options:
❌ Authorization
While authorization is an important security concept, Splunk CIM does not have a predefined data model named "Authorization." Authentication and Authorization are distinct—authentication verifies identity, whereas authorization determines access levels.
❌ Accounting
There is no pre-configured "Accounting" data model in Splunk CIM. Accounting generally refers to tracking resource usage or financial records, which is not covered under the default CIM data models.
❌ Access
Although "Access" might seem related, Splunk CIM does not have a predefined data model called "Access." Instead, access-related events are typically categorized under the Authentication or Change Analysis data models.
Question 3:
Consider the following search: index=web sourcetype=access_combined The log shows several events that share the same JSESSIONID value (SD421K26502F783). View the events as a group. From the following list, which search groups events by JSESSIONID?
A. index-web sourcetype=access_combined | highlight JSESSIONID | search SD421K26502F783
B. index=web sourcetype=access_combined SD42IK26502F783 | table JSESSIONID
C. index=web sourcetype=access_combined JSESSIONID
D. index=web sourcetype=access_combined | transaction JSESSIONID | search SD42IK26502F783
Answer: D
Explanation:
This search achieves the goal by using the transaction command:
index=web sourcetype=access_combined: Defines the initial data set to search within the “web“ index for events with the sourcetype “access_combined.“
transaction JSESSIONID: This is the key part. The transaction command groups events together based on a specific field. Here, it groups events based on their JSESSIONID value. This ensures that all events with the same JSESSIONID (including SD421K26502F783) are treated as a single unit.
search SD42IK26502F783: This final search refines the grouped transactions further, keeping only the transaction group that includes the specific JSESSIONID value you‘re interested in (SD421K26502F783).
Incorrect Options:
A. index-web sourcetype=access_combined | highlight JSESSIONID | search SD421K26502F783:
highlight JSESSIONID might visually emphasize the JSESSIONID field in the results, but it doesn‘t group events by that field.
B. index=web sourcetype=access_combined SD42IK26502F783 | table JSESSIONID:
This search filters for events with the specific JSESSIONID but doesn‘t group them. It would likely return only a single event if there‘s just one matching the ID. The table command simply displays the results in a tabular format.
C. index=web sourcetype=access_combined JSESSIONID :
The < operator is typically used for range searches, not for exact value matching. It wouldn‘t group events effectively.
Question 4:
Which of the following statements describes the use of the Field Extractor (FX)?
A. The Field Extractor automatically extracts all fields at search time.
B. Fields extracted using the Field Extractor persist as knowledge objects.
C. Fields extracted using the Field Extractor do not persist and must be defined for each search.
D. The Field Extractor uses PERL to extract fields from the raw events.
Answer: B
Explanation:
✅ Correct Answer: B. Fields extracted using the Field Extractor persist as knowledge objects.
The Field Extractor (FX) allows users to create and save field extractions, which persist as knowledge objects in Splunk. These extractions are stored in the Search-Time Field Extraction configuration and can be reused across multiple searches, making them accessible to users with the appropriate permissions.
Incorrect Options:
❌ A. The Field Extractor automatically extracts all fields at search time.
This is incorrect because the Field Extractor does not automatically extract all fields. Instead, it allows users to define specific field extractions manually or with guided assistance. Splunk does perform automatic field extraction for certain fields (e.g., _time, host, source, sourcetype), but the Field Extractor is used to define additional custom field extractions.
❌ C. Fields extracted using the Field Extractor do not persist and must be defined for each search.
This is incorrect because Field Extractor-created fields are saved as knowledge objects, meaning they persist and can be used across different searches. They are not limited to a single search session.
❌ D. The Field Extractor uses PERL to extract fields from the raw events.
Splunk does not use PERL for field extraction. Instead, it relies on regular expressions (regex) and Delimited/Indexed field extraction methods to define fields at search time. The Field Extractor (FX) provides a user-friendly interface to generate regex-based field extractions without requiring advanced regex knowledge.
Question 5:
Which of the following statements describe the search string below?
A. No events will be returned because the pipe should occur after the datamodel command.
B. Events will be returned from the data model named Application_State.
C. Events will be returned from dataset named Application_State.
D. Events will be returned from the data model named All_Application_State.
Answer: B
Explanation:
B. Events will be returned from the data model named Application_State.
In Splunk, when you use the datamodel command, you are querying a specific data model. The search string likely includes something like | datamodel Application_State, which means it is pulling events from the Application_State data model. This is the correct interpretation of how the datamodel command works.
Incorrect Options:
A. No events will be returned because the pipe should occur after the datamodel command.
This is incorrect because the pipe (|) is used to chain commands in Splunk, and it is correctly placed before the datamodel command. The search will still return events as long as the data model exists and contains data.
C. Events will be returned from dataset named Application_State.
This is incorrect because the datamodel command queries a data model, not a dataset. In Splunk, a dataset is a subset of a data model, but the search string is explicitly targeting the data model itself, not a specific dataset within it.
D. Events will be returned from the data model named All_Application_State.
This is incorrect because the search string specifies Application_State, not All_Application_State. The name of the data model must match exactly, so this option is not valid.
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It is recommended to score above 85% in SkillCertPro exams before attempting a real exam.
SkillCertPro updates exam questions every 2 weeks.
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Question 6:
Which of the following is true about the Splunk Common Information Model (CIM)?
A. The data models included in the CIM are configured with data model acceleration turned off.
B. The data models included in the CIM are configured with data model acceleration turned on.
C. The CIM is an app that needs to run on the indexer.
D. The CIM contains 28 pre-configured datasets.
Answer: A
Explanation:
A. The data models included in the CIM are configured with data model acceleration turned off.
By default, data models in the CIM have data model acceleration turned off. This is because enabling acceleration requires additional resources, and it is up to the user to enable it based on their specific needs. This is a key point for the Splunk Core Certified Power User exam.
Incorrect Options:
B. The data models included in the CIM are configured with data model acceleration turned on.
This is incorrect because, as mentioned above, data model acceleration is not enabled by default in the CIM. Users must manually enable it if needed.
C. The CIM is an app that needs to run on the indexer.
This is incorrect because the CIM is not an app that runs exclusively on the indexer. It is a framework that can be used across Splunk components, including search heads and indexers. The CIM is implemented as an add-on that can be installed on any Splunk instance.
D. The CIM contains 28 pre-configured datasets.
This is incorrect because the CIM does not contain "datasets." Instead, it contains data models, which are collections of fields and event types that help normalize data. The number of data models in the CIM may vary depending on the version, but they are not referred to as "datasets."
Question 7:
Which of the following searches would return a report of sales by product_name?
A. timechart list(sales), values(product_name)
B. chart sum(price) as sales by product_name
C. chart sales by product_name
D. stats sum(price) as sales over product_name
Answer: B
Explanation:
B. chart sum(price) as sales by product_name
chart: This command creates a visual representation of the data.
sum(price) as sales: This calculates the total sales (sum of price) and assigns it an alias “sales“.
by product_name: This groups the data by the “product_name“ field, ensuring the sales are calculated and displayed for each unique product.
Incorrect Options:
A. timechart list(sales), values(product_name):
This search attempts to use timechart, which is typically used for time-series data. It uses list(sales) and values(product_name), which might not be appropriate functions for this scenario.
While it depends on the specific data structure, this search is unlikely to produce a meaningful report of total sales by product_name.
C. chart sales by product_name:
This search is missing the aggregation function. “sales“ might not be a pre-existing field in your data.
It would attempt to chart the “sales“ field directly (assuming it exists), but wouldn‘t calculate total sales if that field doesn‘t represent summed prices.
D. stats sum(price) as sales over product_name:
stats is used for calculations but doesn‘t directly create a chart.
While it would calculate the total sales (“sales“) by product, it wouldn‘t generate a visual report.
Question 8:
What does the transaction command do?
A. Creates a single event from a group of events.
B. Separates two events based on one or more values.
C. Returns the number of credit card transactions found in the event logs.
D. Groups a set of transactions based on time.
Answer: A
Explanation:
✅ A. Creates a single event from a group of events.
The transaction command in Splunk is used to combine multiple related events into a single event based on shared field values, time constraints, or other criteria. This is useful for tracking multi-step processes like user logins, session tracking, and troubleshooting correlated logs.
Incorrect Options:
❌ B. Separates two events based on one or more values.
This is incorrect because the transaction command groups related events instead of separating them. If you need to filter or categorize events based on field values, commands like stats, eval, or where would be more appropriate.
❌ C. Returns the number of credit card transactions found in the event logs.
This is incorrect because transaction does not count transactions. Instead, it groups related events into a single event. If you need to count occurrences, the stats count or eventstats command would be a better choice.
❌ D. Groups a set of transactions based on time.
This is incorrect because while the transaction command can use time constraints, its primary function is grouping related events into a single event, not grouping transactions themselves. Instead, bucket _time or bin could be used for time-based grouping.
Question 9:
What other syntax will produce exactly the same results as | chart count over vendor_action by user?
A. | chart count by vendor_action over user
B. | chart count over vendor_action, user
C. | chart count by vendor_action, user
D. | chart count over user by vendor_action
Answer: C
Explanation:
✅ C. | chart count by vendor_action, user
This syntax produces the same results as | chart count over vendor_action by user because "over" and "by" can be used interchangeably in the chart command when specifying grouping fields. The first field (vendor_action) is used for the x-axis, while the second field (user) creates separate series in the output.
Incorrect Options:
❌ A. | chart count by vendor_action over user
This is incorrect because the correct syntax should either use "over" or "by" consistently, not a mix of both in this order. The structure should follow chart count over X by Y or chart count by X, Y.
❌ B. | chart count over vendor_action, user
This is incorrect because chart does not support using multiple fields after "over". The correct approach is to use "by" when listing multiple grouping fields.
❌ D. | chart count over user by vendor_action
This is incorrect because it swaps the order of "user" and "vendor_action", changing the structure of the results. The correct order should match the original query.
Question 10:
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(Choose all that apply)?
A. The extraction is private.
B. The dashboard is private.
C. The person in the organization running the report does not have access to the index.
D. Fast mode is enabled.
Answer: A and C
Explanation:
The following reasons could explain why a person running a shared report with a custom field extracted using Field Extractor (FX) might not see any results:
The extraction is private. If the Field Extractor used to create the custom field is configured with private access, only the user who created the extraction will be able to use the custom field in reports.
The person in the organization running the report does not have access to the index. The report relies on data from a specific index. If the user running the report does not have the necessary permissions to access that index, they will not see any results.
Explanation of other options:
The dashboard is private: The question specifically mentions a “shared report,” not a private dashboard.
Fast mode is enabled: Fast mode is a performance optimization setting in some data analysis tools. While it might affect query performance, it shouldn’t prevent a user from seeing any results at all.
In summary:
The most likely reasons for no results are:
Private Extraction: The custom field is only accessible to its creator.
Lack of Index Access: The user running the report does not have the necessary permissions to access the data source for the report.
For a full set of 645 questions. Go to
https://skillcertpro.com/product/splunk-core-certified-power-user-exam-questions/
SkillCertPro offers detailed explanations to each question which helps to understand the concepts better.
It is recommended to score above 85% in SkillCertPro exams before attempting a real exam.
SkillCertPro updates exam questions every 2 weeks.
You will get life time access and life time free updates
SkillCertPro assures 100% pass guarantee in first attempt.