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Foundations of Accelerated Data Science
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Question 1 of 24

In a reproducibility workshop, an architect is mapping a need to the right NVIDIA-backed concept. Which choice best applies the documented guidance for workflow scope?

ATreat CPU and GPU workloads as identical and ignore memory transfer considerations.
BEnd-to-end data science workflow from ingest through ETL, cleaning, and transformation belongs to the Foundations domain.
CAssume NumPy, pandas, and Jupyter are unrelated to data analysis fundamentals.
DConfuse overfitting with underfitting and skip tuning decisions entirely.

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