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Splunk SPLK-1004 Exam - Topic 16 Question 51 Discussion

When working with an accelerated data model acc_datmodel and an unaccelerated data model unacc_datmodel, what tstats query could be used to search one of these data models?
A) | tstats count from datamodel=acc_datmodel summariesonly=false
B) | tstats count where datamodel=acc_datmodel summariesonly=false
C) | tstats count where index=datamodel by index, datamodel
D) | tstats count from datamodel=unacc_datmodel summariesonly=true

Splunk SPLK-1004 Exam - Topic 16 Question 51 Discussion

Actual exam question for Splunk's SPLK-1004 exam
Question #: 51
Topic #: 16
[All SPLK-1004 Questions]

When working with an accelerated data model acc_datmodel and an unaccelerated data model unacc_datmodel, what tstats query could be used to search one of these data models?

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Suggested Answer: A

The tstats command in Splunk is optimized for performance and is typically used with accelerated data models. The summariesonly parameter determines whether the search should use only the summarized (accelerated) data or fall back to raw data if necessary.

Setting summariesonly=false allows the search to use both summarized and raw data, making it suitable for both accelerated and unaccelerated data models.

Setting summariesonly=true restricts the search to only summarized data, which would result in no data returned if the data model is not accelerated.

Therefore, to search an accelerated data model and allow fallback to raw data if needed, the correct query is:

| tstats count from datamodel=acc_datmodel summariesonly=false


tstats - Splunk Documentation

Contribute your Thoughts:

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I'm leaning towards option D since it mentions "summariesonly=true," but I'm not entirely confident about using it with an unaccelerated model.
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Bettina
5 days ago
I feel like we had a similar question about querying data models, but I can't recall the exact syntax.
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Benedict
10 days ago
I think option A sounds familiar because it mentions "summariesonly=false," which we discussed in class.
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Shayne
15 days ago
I remember we practiced using the tstats command, but I'm not sure if "from" or "where" is the right choice for data models.
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