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Data Manipulation and Software Literacy
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Question 3 of 38

In a RAPIDS design review, several options sound plausible and only one matches the documented guidance. Which recommendation best addresses gpu native dataframe scenario?

AUse a generic CPU-only workflow without evaluating the documented GPU-accelerated option.
BPick a tool because its name sounds familiar instead of matching it to the actual workflow requirement.
CChoose cuDF when the workflow centers on GPU-native loading, joins, aggregations, and filtering.
DSkip benchmarking and assume the fastest option is obvious before measuring.

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