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Data Manipulation and Preparation
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Question 4 of 46

In a model evaluation discussion, the discussion is comparing several plausible options. Which choice best applies the documented guidance for full pandas api?

ACudf.pandas supports 100 percent of the pandas API.
BTreat preparation, training, deployment, and reproducibility as if they were all the same task.
CChoose Triton because model-serving software is the main tool for joins, ETL, and feature engineering.
DChoose cuGraph because graph analytics libraries are the primary tool for joins and Parquet storage workflows.

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