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Multiple Choice Flashcards

Practice multiple choice certification questions for Databricks Certified Machine Learning Professional and review the explanation after each answer.

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Review the keyed rationale after answering so the correct Databricks service choice and each distractor stay connected.

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Flashcard Practice Databricks Certified Machine Learning Professional Multiple Choice

A team logs only the final Spark ML classifier after training with indexers, encoders, a scaler, and VectorAssembler. Batch scoring later receives raw input columns and fails because encoded feature columns are missing. What should change?

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Fit new indexers and scalers on every scoring batch before calling the logged classifier. Use an evaluator during scoring so missing feature columns are recreated from labels. Drop the categorical and scaled columns from production requests to match the classifier artifact. Log or deploy the fitted PipelineModel so preprocessing and prediction are applied together.

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