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Machine Learning With RAPIDS
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Question 4 of 32

In an accelerated data science study session, the team must make the most defensible recommendation. Which recommendation best addresses multi gpu recommendation?

AChoose multi-GPU Dask training when one GPU is too limited for the desired model-training workload.
BSkip measurement and assume performance or reliability will be fine without verification.
CTreat preparation, training, deployment, and reproducibility as if they were all the same task.
DChoose cuGraph because graph analytics is the main tool for regression, classification, and cross-validation.

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