Multiple Choice Flashcards on 01 Databricks Certified Machine Learning Associ...

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Flashcard Practice Databricks Certified Machine Learning Associate Multiple Choice

A team uses a GPU ML runtime for every notebook, including lightweight feature exploration that runs well on CPU. Costs increase with little performance benefit. What should they do?

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Match runtime and compute to workload needs, using CPU where GPUs add little value. Keep one GPU ML compute policy for all notebooks to reduce configuration variety. Move SQL-only notebooks to SQL warehouses, but keep all Python feature work on GPUs. Disable experiment tracking to reduce overhead before changing compute choices.

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