In a production deployment planning session, the team must choose the best documented interpretation. Which choice best applies the documented guidance for third-party compatibility?

ACudf.pandas is compatible with most third-party libraries that use pandas objects.

BChoose cuML because machine learning estimators are the primary tool for pandas-compatible joins and groupbys.

CChoose a single fixed tool for every dataset size instead of matching the library to the scaling need.

DUse a generic CPU-only workflow without evaluating the documented GPU-accelerated option.

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