NCP-ADS
GPU and Cloud Computing
hard
Question 5 of 32

In a model-serving readiness check, several options sound plausible and only one matches the documented guidance. Which recommendation best addresses version conflict 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 conda or Docker when the main goal is to manage package and dependency version conflicts cleanly.
DSkip benchmarking and assume the fastest option is obvious before measuring.

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