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Question 1 of 30

In a production deployment planning session, the discussion is comparing several plausible tooling choices. Which choice best applies the documented guidance for hyperparameter tuning?

ASkip benchmarking and assume the fastest option is obvious before measuring.
BHyperparameter optimization is used to tune model settings rather than to clean raw data.
CTreat data preparation, model training, deployment, and monitoring as the same stage.
DChoose cuGraph because graph analytics libraries are the main tool for hyperparameter optimization and fit-predict workflows.

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