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?
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.
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?
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!
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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