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Splunk Exam SPLK-1004 Topic 1 Question 14 Discussion

Actual exam question for Splunk's SPLK-1004 exam
Question #: 14
Topic #: 1
[All SPLK-1004 Questions]

When should summary indexing be used?

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Suggested Answer: B

Using the tstats command with summariesonly=false instructs Splunk to return results from both summarized (accelerated) data and non-summarized (raw) data. This can be useful when you need a comprehensive view of the data that includes both the high-performance summaries provided by data model acceleration and the detailed granularity of raw data.


by Nelida at Jun 21, 2024, 08:45 AM

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Jesusita
7 days ago
Hmm, I don't think D is correct. Smart Mode is a different feature, not directly related to summary indexing.
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Meaghan
8 days ago
I'm going with C. Short time ranges make the most sense for summary indexing, as it's designed to speed up the processing of smaller datasets.
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Michael
10 days ago
I disagree. I believe summary indexing should be used for reports that do not qualify for report or data model acceleration.
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Crista
12 days ago
I agree with Sheldon. Summary indexing is great for improving performance on those types of reports.
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Sheldon
16 days ago
I think summary indexing should be used for reports that run on small datasets over long time ranges.
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Tora
16 days ago
Option B seems logical, since summary indexing is typically used for reports that don't qualify for other acceleration methods.
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