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

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Flashcard Practice Databricks Certified Machine Learning Associate Multiple Choice

A production batch job fails after a code change collects 80 million Spark rows to pandas before calling model.predict. The model works on a sample, but the driver exits during the full run. What should the team do?

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Downsample the table for production scoring so the job finishes on the current cluster. Raise the driver size and keep collecting the full table while watching memory use. Call a realtime endpoint once per row from the notebook to avoid pandas memory pressure. Use distributed scoring or bounded chunks instead of one driver collection.

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