Multiple Choice Flashcards on 02 Databricks Certified Machine Learning Profes...

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Flashcard Practice Databricks Certified Machine Learning Professional Multiple Choice

A production Databricks job uses `MlflowSparkStudy` to run Optuna trials on executors. Trials fail intermittently because some workers cannot import the same training library version used by the driver. What should be fixed before increasing `n_jobs`?

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The cluster or job environment so executors have the required dependency version. The objective metric name, because import failures indicate a bad validation metric. The number of MLflow experiments, because each worker needs a separate experiment. The model registry alias, because aliases install libraries on worker nodes.

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