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

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Flashcard Practice Databricks Certified Machine Learning Professional Multiple Choice

A company routes 80% of traffic to a champion model and 20% to a challenger. The aggregate weekly accuracy appears unchanged, but customer complaints started after the challenger rollout. The inference table includes `model_id`, predictions, labels, and timestamps. What analysis is most appropriate?

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Inspect the assets directory because model version accuracy is stored as workspace files. Compare endpoint request rate by week and ignore model ID because aggregate accuracy is stable. Query quality metrics by `model_id` and window. Use only consecutive drift metrics because labels are not relevant to model version quality.

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