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In a RAPIDS design review, an architect is matching a need to the right NVIDIA guidance. Which choice best applies the documented guidance for conda forge compatibility?

ASkip benchmarking and assume the fastest option is obvious before measuring.
BTreat data preparation, model training, deployment, and monitoring as the same stage.
CChoose cuGraph because graph analytics libraries are the main way to resolve package-version conflicts.
DRAPIDS conda packages are designed for compatibility with conda-forge rather than defaults.

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