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Splunk Exam SPLK-3001 Topic 10 Question 89 Discussion

Actual exam question for Splunk's SPLK-3001 exam
Question #: 89
Topic #: 10
[All SPLK-3001 Questions]

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?

Show Suggested Answer Hide Answer
Suggested Answer: C

Contribute your Thoughts:

Marci
5 months ago
Hmm, I'm gonna go with B. Normalization to the Customer Standard. It just sounds so... customer-friendly, you know? And who doesn't love a good customer-friendly data management step?
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Jeannetta
5 months ago
C. Normalization to the Splunk Common Information Model. It's the only answer that mentions Splunk, and we all know Splunk is the key to unlocking the secrets of the universe. Or something like that.
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Quentin
5 months ago
D. Extracting Fields, for sure. I mean, how else are you gonna get that raw data into a usable format? It's like trying to bake a cake without any ingredients - not gonna work, am I right?
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Yvonne
5 months ago
B) Normalization to Customer Standard.
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Elden
5 months ago
A) Applying Tags.
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Jesse
6 months ago
Hmm, I'm not sure. Maybe B? Normalizing to the Customer Standard seems important, but I don't know if that's the 'essential' step. Oh well, time to guess and hope for the best!
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Juliann
5 months ago
I'll go with D) Extracting Fields. Let's see if that's the right answer.
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Junita
5 months ago
I think it's C) Normalization to the Splunk Common Information Model.
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Annelle
6 months ago
C. Normalization to the Splunk Common Information Model sounds like the way to go. Gotta keep that data standardized, yo!
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Camellia
5 months ago
C) Normalization to the Splunk Common Information Model.
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Paz
5 months ago
B) Normalization to Customer Standard.
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Deja
5 months ago
A) Applying Tags.
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Carisa
6 months ago
I agree with Ming. Normalizing data to the Splunk Common Information Model is crucial for accelerating data with a Data Model.
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Ming
6 months ago
I think the answer is C) Normalization to the Splunk Common Information Model.
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Vi
6 months ago
I think the answer is D. Extracting Fields. It's essential to extract the relevant fields from the raw data to ensure it can be used by the Data Model and ES.
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Odette
6 months ago
C) Normalization to the Splunk Common Information Model.
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Mindy
6 months ago
B) Normalization to Customer Standard.
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Ronny
6 months ago
A) Applying Tags.
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Yuette
6 months ago
B) Normalization to Customer Standard.
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Patti
6 months ago
A) Applying Tags.
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