Q: 9
[Security Architecture]
Which of the following supports the process of collecting a large pool of behavioral observations to
inform decision-making?
Options
Discussion
Option C. since Big Data is what actually enables collecting massive behavioral datasets, not D unless you're processing them.
Option C. Matches what's in the official objectives and study guide.
Isn't D more about analyzing after you've collected? Collecting a huge dataset points to C, while D would be the trap here.
Why not D here? Machine learning relies on big datasets to improve decisions, so isn't that close?
C , saw similar wording on a practice set.
C over D, since the trap is thinking machine learning (D) does the collecting, but really Big Data (C) gives you the pool to work with. Pretty sure that's what they're after here.
Its C, fits the "collecting" part best. D looks tempting but not for just gathering data.
Guessing C here. Machine learning (D) is tempting since it's about analysis, but Big Data is more about collecting tons of raw behavioral data before you even process it. Not totally confident, open to being wrong.
Yeah, C is right here.
D makes sense to me. Machine learning uses lots of behavioral data to make decisions, so it kinda fits the question. Not totally sure though since "collecting" is mentioned, but I’d still pick D here.
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