Splunk Exam SPLK-3001 Topic 7 Question 84 Discussion

Actual exam question for Splunk's SPLK-3001 exam

Question #: 84
Topic #: 7

After data is ingested, which data management step is essential to ensure raw data can be accelerated by a Data Model and used by ES?

AApplying Tags.

BNormalization to Customer Standard.

CNormalization to the Splunk Common Information Model.

DExtracting Fields.

Show Suggested Answer

Suggested Answer: C

by Garry at Apr 11, 2024, 05:05 PM

Limited Time Offer

25%

Off

Get Premium SPLK-3001 Questions as Interactive Web-Based Practice Test or PDF

Contribute your Thoughts:

Submit Cancel

Lashon

6 months ago

I think applying Tags can also help organize the data, so my answer is A).

upvoted 0 times

...

Zona

7 months ago

I agree with Candidate 1. Extracting Fields would make the raw data more structured and usable.

upvoted 0 times

...

Juan

7 months ago

I'm not sure. I believe it could also be C) Normalization to the Splunk Common Information Model.

upvoted 0 times

...

Mike

7 months ago

I think the answer is D) Extracting Fields.

upvoted 0 times

...

Glenna

8 months ago

Exactly! Extracting the fields is like putting the wheels on the car. It's the essential first step to getting everything else working.

upvoted 0 times

...

Izetta

8 months ago

Haha, I'm just imagining someone trying to use raw data without extracting the fields. It'd be like trying to drive a car without wheels!

upvoted 0 times

...

Salome

8 months ago

Good point, but I think extracting the fields is the foundation. Without that, the normalization won't matter much.

upvoted 0 times

Adell

6 months ago

Applying Tags is also essential for organization.

upvoted 0 times

...

Clare

6 months ago

I think normalization to the Splunk Common Information Model is the way to go.

upvoted 0 times

...

Norah

6 months ago

But isn't normalization important for consistency?

upvoted 0 times

...

Delsie

6 months ago

I agree, extracting fields is crucial.

upvoted 0 times

...

Buddy

8 months ago

Hmm, I'm not so sure. Wouldn't normalizing the data to the Splunk Common Information Model be important too? That would help ensure consistency and compatibility with ES.

upvoted 0 times

...

Leonora

8 months ago

I agree. Extracting the fields seems like the most essential step to ensure the raw data can be accelerated by the Data Model and used by ES.

upvoted 0 times

...

This question is a bit tricky, but I think the key is understanding the Data Model and how it interacts with Elasticsearch (ES). If the raw data isn't properly extracted and normalized, it won't be usable by the Data Model or ES.

upvoted 0 times

...

Splunk Exam SPLK-3001 Topic 7 Question 84 Discussion

Contribute your Thoughts:

Lashon

Zona

Juan

Mike

Glenna

Izetta

Salome

Adell

Clare

Norah

Delsie

Buddy

Leonora

Francine