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NCP-ADS
Data Manipulation and Software Literacy
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Question 9 of 38

In an MLOps benchmarking session, an architect is matching a need to the right NVIDIA guidance. Which choice best applies the documented guidance for full pandas coverage?

ACudf.pandas supports 100 percent of the pandas API.
BSkip benchmarking and assume the fastest option is obvious before measuring.
CTreat data preparation, model training, deployment, and monitoring as the same stage.
DChoose cuGraph because graph analytics is the main tool for joins, filters, and aggregations on tabular ETL data.

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