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?

AFor reports that run on small datasets over long time ranges.

BFor reports that do not qualify for report or data model acceleration.

CFor reports that run over short time ranges.

DFor reports that run in Smart Mode.

Show Suggested Answer

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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Pansy

2 months ago

Haha, 'summary indexing' - sounds like a fancy way of saying 'I'm too lazy to write a proper query!'

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Walton

13 days ago

C) For reports that run over short time ranges.

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Gladys

1 months ago

B) For reports that do not qualify for report or data model acceleration.

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Carlee

1 months ago

A) For reports that run on small datasets over long time ranges.

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Jesusita

2 months 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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Nieves

1 months ago

I agree, D is not correct. Smart Mode is a separate feature.

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Sharee

1 months ago

C) For reports that run over short time ranges.

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Wilson

1 months ago

B) For reports that do not qualify for report or data model acceleration.

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Gerald

1 months ago

A) For reports that run on small datasets over long time ranges.

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Meaghan

2 months 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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Sheridan

1 months ago

That makes sense, summary indexing is definitely helpful for speeding up processing on smaller datasets.

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Graciela

1 months ago

C) For reports that run over short time ranges.

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Michael

2 months 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

2 months ago

I agree with Sheldon. Summary indexing is great for improving performance on those types of reports.

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Sheldon

2 months ago

I think summary indexing should be used for reports that run on small datasets over long time ranges.

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Tora

2 months 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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Kristal

24 days ago

I've used summary indexing for reports that don't qualify for other acceleration methods before.

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Charisse

1 months ago

It's a good point, summary indexing is useful for certain types of reports.

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Margery

2 months ago

I think summary indexing is best for reports that don't qualify for other acceleration methods.

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Ilda

2 months ago

I agree, option B makes sense for using summary indexing.

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