NCP-ADS
Machine Learning
hard
Question 4 of 30

In a model-serving readiness check, the team must make the most defensible recommendation. Which recommendation best addresses multi gpu training recommendation?

AChoose multi-GPU Dask training when one GPU is too slow or too limited for the target workload.
BTreat feature engineering as a deployment-only task instead of a machine learning concern.
CAssume distributed training always preserves identical accuracy characteristics in every case.
DUse a generic CPU-only workflow without evaluating the documented GPU-accelerated option.

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