Splunk Exam SPLK-5001 Topic 5 Question 3 Discussion

Actual exam question for Splunk's SPLK-5001 exam

Question #: 3
Topic #: 5

A threat hunter generates a report containing the list of users who have logged in to a particular database during the last 6 months, along with the number of times they have each authenticated. They sort this list and remove any user names who have logged in more than 6 times. The remaining names represent the users who rarely log in, as their activity is more suspicious. The hunter examines each of these rare logins in detail.

This is an example of what type of threat-hunting technique?

ALeast Frequency of Occurrence Analysis

BCo-Occurrence Analysis

CTime Series Analysis

DOutlier Frequency Analysis

Show Suggested Answer

Suggested Answer: A

by Rosendo at Aug 24, 2024, 02:10 AM

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Harley

2 months ago

I'm feeling lucky, so I'm gonna go with 'Outlier Frequency Analysis'. It's like the cybersecurity version of finding a needle in a haystack, but with more hacking and less hay.

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Filiberto

2 months ago

Hah! 'Time Series Analysis'? What is this, a history class? Nah, I'm betting the answer is 'Least Frequency of Occurrence Analysis'. It's all about finding the reclusive login unicorns.

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Whitney

1 months ago

D: Definitely, it's all about finding those outliers in the login data.

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Catrice

1 months ago

C: I think that technique helps to pinpoint suspicious activity more effectively.

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Socorro

2 months ago

Definitely, focusing on those rare logins can uncover suspicious activity.

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Celeste

2 months ago

Yeah, that makes sense. It's like finding the rare login unicorns.

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Mira

2 months ago

B: Yeah, it makes sense to focus on the users who rarely log in.

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Britt

2 months ago

A: I agree, 'Least Frequency of Occurrence Analysis' sounds like the right choice.

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Selma

2 months ago

I think it's 'Least Frequency of Occurrence Analysis'.

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Vicky

3 months ago

I think it's D) Outlier Frequency Analysis because it targets suspicious activity based on low frequency logins.

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Tarra

3 months ago

I'm not sure, but I think it could also be A) Least Frequency of Occurrence Analysis.

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Kimberlie

3 months ago

I agree with Dwight, because the technique focuses on identifying unusual behavior.

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Sharee

3 months ago

I'm gonna go with 'Co-Occurrence Analysis' on this one. Gotta keep an eye on those users who are always hanging out together, you know? They might be up to no good.

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Reuben

3 months ago

I agree with you, it's important to focus on those rare logins to identify any suspicious activity.

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Celeste

3 months ago

I think it's 'Outlier Frequency Analysis'. Those users who rarely log in could be the outliers in this case.

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Sean

3 months ago

Hmm, I'm not sure about this one. Maybe it's 'Outlier Frequency Analysis'? After all, rare logins are kind of like the black sheep of the login family, right? They stand out, so we gotta look into them.

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Wenona

2 months ago

A: Definitely, it's all about identifying those unusual patterns in login activity.

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Frank

2 months ago

B: Yeah, I agree. It's important to focus on those outliers to catch any potential threats.

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Gaston

3 months ago

A: I think you're right, 'Outlier Frequency Analysis' makes sense. Those rare logins could indicate something suspicious.

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Dwight

3 months ago

I think the answer is D) Outlier Frequency Analysis.

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Clay

4 months ago

Wow, 'Least Frequency of Occurrence Analysis' sounds like the perfect answer! I mean, who doesn't love a good ol' 'frequency of occurrence' analysis, am I right? It's like the detective work of the cybersecurity world.

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