A Splunk admin is explaining to a colleague why tstats searches are faster than regular searches on an accelerated data model. What is the primary reason?

tstats uses a special index that is stored in memory.

tstats bypasses the search head and runs directly on the indexers.

tstats only searches the last 7 days of data by default.

tstats reads tsidx files, which are smaller and more efficient to scan than raw events.

A Splunk admin has an accelerated data model that is not returning results for events older than 60 days, even though the summary range is set to 180 days. The admin verifies that the data exists in the raw index. What is the most likely cause of this issue?

The data model was recently re-accelerated, and the new tsidx files only cover the last 60 days.

The summary range is actually set to 60 days, not 180 days.

The backfill process has not completed for the full 180-day range.

The tsidx files for the older data have been deleted due to indexer storage limits.

A new Splunk admin needs to verify which datasets are available in an existing data model named 'Web_Logs' and check whether the data model is currently accelerated. Which single command should they run?

| datamodel Web_Logs accelerate

How does data model acceleration improve search performance?

By caching search results for frequently run queries.

By distributing the search across more indexers automatically.

By compressing raw events to reduce disk I/O.

By allowing searches to run against precomputed tsidx files instead of raw events.

A Splunk admin needs to support a team that runs a specific, complex search every hour to monitor a business KPI. The search involves multiple joins and subsearches, and it takes several minutes to complete. The team wants the results to be available faster. The admin is considering data model acceleration, report acceleration, or summary indexing. Which approach is the most appropriate?

Create a summary index that stores the results of the search every hour.

Rewrite the search to use tstats against the raw index.

Enable report acceleration on the specific search.

Enable acceleration on a data model that the search uses.

SplunkCore Certified Advanced Power User

Domain 4Objective 2

Data Model Acceleration core-certified-advanced-power-user Practice Questions (Page 1)

Part of the Acceleration and Search Performance domain, which makes up ~18% of our current practice bank. Splunk does not publish an official question count, but from its 60-minute exam (~25–40 total, ~5–7 in this domain), expect 1–2 from this objective — we provide 26 practice questions to prepare you well beyond it. (estimate)

26questions here

6free pages

8concepts

Questions 1–5

1application · medium
A Splunk admin is explaining to a colleague why tstats searches are faster than regular searches on an accelerated data model. What is the primary reason?
Select an answer first
2expert · hard
A Splunk admin has an accelerated data model that is not returning results for events older than 60 days, even though the summary range is set to 180 days. The admin verifies that the data exists in the raw index. What is the most likely cause of this issue?
Select an answer first
3application · medium
A new Splunk admin needs to verify which datasets are available in an existing data model named 'Web_Logs' and check whether the data model is currently accelerated. Which single command should they run?
Select an answer first
4foundation · easy
How does data model acceleration improve search performance?
Select an answer first
5expert · hard
A Splunk admin needs to support a team that runs a specific, complex search every hour to monitor a business KPI. The search involves multiple joins and subsearches, and it takes several minutes to complete. The team wants the results to be available faster. The admin is considering data model acceleration, report acceleration, or summary indexing. Which approach is the most appropriate?
Select an answer first

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