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| Vendor: | Splunk |
|---|---|
| Exam Code: | SPLK-1004 |
| Exam Name: | Splunk Core Certified Advanced Power User |
| Exam Questions: | 120 |
| Last Updated: | May 24, 2026 |
| Related Certifications: | Splunk Core Certified Advanced Power User |
| Exam Tags: | intermediate-level certification Data Analystsand Splunk users |
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What is the value of base lispy in the Search Job Inspector for the search index=sales clientip=170.192.178.10?
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.
What does the query | makeresults generate?
The | makeresults command generates a single event containing default fields, such as _time. It's mainly used to create sample data or placeholder events for testing purposes. The primary field it generates is _time, but the command is used to generate a base event that can be manipulated further.
Which of the following statements is accurate regarding the append command?
The append command in Splunk is used with a subsearch to add additional data to the end of the primary search results and can access historical data, making it useful for combining datasets from different time ranges or sources.
When a user opens a dataset in Pivot that has not been accelerated, an ad hoc data model acceleration is created. How long does this accelerated data model last?
In Splunk, when a user accesses a dataset in Pivot that lacks persistent acceleration, Splunk automatically creates an ad hoc data model acceleration. This temporary acceleration is designed to enhance performance during the user's current session.
According to Splunk Documentation:
'Ad hoc summaries are always created in a dispatch directory at the search head.'
'These summaries are temporary and exist only for the duration of the user's Pivot session.'
This means that the accelerated data model persists only while the user is actively engaged in the Pivot session. Once the session ends, the ad hoc acceleration is discarded.
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?
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
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