Discuss Splunk SPLK-1004 Exam Topic 1 Question 14

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.

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.

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35 comments · newest first

Bettyann 11 months ago

Definitely not for small datasets, that’s a myth.

Gearldine 11 months ago

Wait, Smart Mode? I didn’t know that was a factor!

Sage 12 months ago

I thought it was only for reports that can’t be accelerated.

Justine 12 months ago

I disagree, it’s more useful for short time ranges.

Ruthann 1 year ago

Summary indexing is great for long time ranges!

Stevie 1 year ago

I vaguely remember something about Smart Mode and summary indexing, but I can't remember if they are directly related or not.

Percy 1 year ago

I feel like summary indexing might be useful for short time ranges, but I can't recall the exact details from my studies.

Kaitlyn 1 year ago

I remember practicing a question about when to use summary indexing, and I think it was related to reports that don't qualify for acceleration.

Kimbery 1 year ago

I think summary indexing is mainly for reports that deal with larger datasets, but I'm not sure if that means it should be used for long time ranges.

Joaquin 1 year ago

Ah, I see. Summary indexing is for reports that run in Smart Mode. That makes sense, since Smart Mode is designed to optimize performance for certain types of reports. I feel pretty good about this one now.

Carolann 1 year ago

Okay, let me see if I can break this down. Summary indexing is used for reports that don't qualify for report or data model acceleration, right? I think that's the key thing to remember here.

Stanton 1 year ago

Hmm, I'm a bit unsure about this one. I think summary indexing is for reports that run on small datasets over long time ranges, but I'm not totally sure. I'll have to think it through carefully.

Tanesha 1 year ago

I'm pretty confident I know when to use summary indexing. It's for reports that don't qualify for other acceleration options, like reports that run over short time ranges.

Oren 1 year ago

Okay, I've got this. When an employee provides service, the company incurs a future obligation, which is recorded as a liability on the balance sheet. The key is that it's a future benefit earned through current service.

Torie 1 year ago

Okay, I think I've got this. The key is that a backup of the PDB must be taken using the BACKUP command with the TO PLATFORM clause. And the source PDB can't be an application root. I'm feeling pretty confident about this one.

Pansy 2 years ago

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

Walton 1 year ago

↳ replying to Pansy

C) For reports that run over short time ranges.

Gladys 1 year ago

↳ replying to Pansy

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

Carlee 1 year ago

↳ replying to Pansy

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

Jesusita 2 years ago

Hmm, I don't think D is correct. Smart Mode is a different feature, not directly related to summary indexing.

Nieves 1 year ago

↳ replying to Jesusita

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

Sharee 1 year ago

↳ replying to Jesusita

C) For reports that run over short time ranges.

Wilson 2 years ago

↳ replying to Jesusita

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

Gerald 2 years ago

↳ replying to Jesusita

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

Meaghan 2 years 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.

Sheridan 1 year ago

↳ replying to Meaghan

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

Graciela 1 year ago

↳ replying to Meaghan

C) For reports that run over short time ranges.

Michael 2 years ago

I disagree. I believe summary indexing should be used for reports that do not qualify for report or data model acceleration.

Crista 2 years ago

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

Sheldon 2 years ago

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

Tora 2 years ago

Option B seems logical, since summary indexing is typically used for reports that don't qualify for other acceleration methods.

Kristal 1 year ago

↳ replying to Tora

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

Charisse 1 year ago

↳ replying to Tora

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

Margery 2 years ago

↳ replying to Tora

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

Ilda 2 years ago

↳ replying to Tora

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

Splunk SPLK-1004 Exam - Topic 1 Question 14 Discussion