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Splunk SPLK-1004 Exam - 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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Bettyann
6 months ago
Definitely not for small datasets, that’s a myth.
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Gearldine
6 months ago
Wait, Smart Mode? I didn’t know that was a factor!
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Sage
6 months ago
I thought it was only for reports that can’t be accelerated.
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Justine
7 months ago
I disagree, it’s more useful for short time ranges.
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Ruthann
7 months ago
Summary indexing is great for long time ranges!
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Stevie
7 months ago
I vaguely remember something about Smart Mode and summary indexing, but I can't remember if they are directly related or not.
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Percy
7 months ago
I feel like summary indexing might be useful for short time ranges, but I can't recall the exact details from my studies.
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Kaitlyn
7 months 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.
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Kimbery
8 months 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.
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Joaquin
8 months 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.
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Carolann
8 months 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.
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Stanton
8 months 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.
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Tanesha
8 months 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.
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Oren
8 months 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.
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Torie
8 months 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.
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Pansy
1 year 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
12 months ago
C) For reports that run over short time ranges.
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Gladys
1 year ago
B) For reports that do not qualify for report or data model acceleration.
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Carlee
1 year ago
A) For reports that run on small datasets over long time ranges.
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Jesusita
1 year 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 year ago
I agree, D is not correct. Smart Mode is a separate feature.
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Sharee
1 year ago
C) For reports that run over short time ranges.
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Wilson
1 year ago
B) For reports that do not qualify for report or data model acceleration.
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Gerald
1 year ago
A) For reports that run on small datasets over long time ranges.
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Meaghan
1 year 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 year ago
That makes sense, summary indexing is definitely helpful for speeding up processing on smaller datasets.
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Graciela
1 year ago
C) For reports that run over short time ranges.
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Michael
1 year 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
1 year ago
I agree with Sheldon. Summary indexing is great for improving performance on those types of reports.
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Sheldon
1 year ago
I think summary indexing should be used for reports that run on small datasets over long time ranges.
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Tora
1 year 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
1 year ago
I've used summary indexing for reports that don't qualify for other acceleration methods before.
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Charisse
1 year ago
It's a good point, summary indexing is useful for certain types of reports.
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Margery
1 year ago
I think summary indexing is best for reports that don't qualify for other acceleration methods.
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Ilda
1 year ago
I agree, option B makes sense for using summary indexing.
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