Splunk SPLK-3002 Exam - Topic 10 Question 85 Discussion

Actual exam question for Splunk's SPLK-3002 exam

Question #: 85
Topic #: 10

[All SPLK-3002 Questions]

To use Adaptive Threshholding, what is the minimum requirement for a set of KPI data?

A14 days old.

B7 days old.

C30 days old.

D10 days old.

Show Suggested Answer

Suggested Answer: B

To utilize Adaptive Thresholding in Splunk IT Service Intelligence (ITSI), the minimum requirement for a set of Key Performance Indicator (KPI) data is that it must be at least 7 days old. Adaptive Thresholding uses historical data to dynamically adjust thresholds based on observed patterns and trends. Having a minimum of 7 days worth of data allows the system to analyze a sufficient amount of information to identify normal ranges and variances in KPI behavior, thereby setting more accurate and contextually relevant thresholds. This requirement ensures that the adaptive thresholds are based on a meaningful data set that reflects the typical operational conditions of the monitored services.

by Nancey at Jul 11, 2025, 04:43 AM

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Jose

7 months ago

Definitely 30 days, that’s the standard.

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Daisy

7 months ago

I thought it was only 7 days!

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Keith

7 months ago

Wait, are we sure about the 14 days? Sounds off.

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Goldie

7 months ago

I agree, 14 days is the minimum requirement.

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Jamika

8 months ago

It’s gotta be 14 days old for Adaptive Thresholding.

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Carin

8 months ago

I can't quite recall, but I think it was either 10 or 14 days. I should have reviewed that section more!

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Rosamond

8 months ago

I thought the minimum was 30 days old, but that seems a bit excessive for just setting thresholds.

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Francesco

8 months ago

I feel like it might be 7 days old, but I also recall some practice questions mentioning longer periods.

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Tamra

8 months ago

I think I remember something about needing at least 14 days of data for Adaptive Thresholding, but I'm not entirely sure.

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Luisa

9 months ago

This seems straightforward - the question states the minimum requirement is for a set of KPI data, so the answer has to be one of the time periods listed. I'll go with B.

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Hoa

9 months ago

Adaptive Threshholding requires at least 10 days of historical data, so the correct answer must be D.

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Desiree

9 months ago

Hmm, I'm a bit unsure about this one. I'll have to think it through carefully before selecting an answer.

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Margo

9 months ago

I'm pretty sure the minimum requirement is 7 days of KPI data, so I'll go with option B.

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Brigette

11 months ago

Hmm, I see your point. Maybe it is 30 days old after all.

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Stephane

11 months ago

I think it's 30 days old, so I choose option C.

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Jani

11 months ago

I disagree, I believe it should be 14 days old, so I choose option A.

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Brigette

11 months ago

I think the minimum requirement is 7 days old, so I choose option B.

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Louis

12 months ago

14 days? That's like asking a toddler to do your taxes. Sure, they might give it a try, but the results are gonna be a little... questionable.

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Ilene

10 months ago

C) 30 days old.

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Jill

10 months ago

B) 7 days old.

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Alana

10 months ago

A) 14 days old.

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Afton

12 months ago

10 days? Hmm, I don't know. That's like trying to learn a new language in a week. Sure, you might pick up a few words, but you're not gonna be fluent anytime soon.

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Glenn

10 months ago

B) 7 days old.

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Nikita

11 months ago

A) 14 days old.

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Pansy

12 months ago

30 days, for sure. Adaptive Threshholding needs to see the big picture, not just a snapshot. It's like trying to find a needle in a haystack - you need a lot of hay to start with!

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Blair

12 months ago

7 days? Seriously? That's like trying to predict the weather by looking out the window for a few seconds. Gotta give it some time to work its magic.

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Mattie

1 year ago

Hmm, I'd say at least 30 days old. Anything less and the algorithm won't have enough data to adapt properly. This isn't some instant noodle recipe, you know!

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Larae

11 months ago

I agree, 30 days old is the minimum requirement for Adaptive Threshholding.

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Kallie

11 months ago

I think 30 days old is the way to go. The algorithm needs enough data to adapt.

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