Databricks Certified Machine Learning Associate Practice Mode

Community Discussion

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• Chose A0

  - Correct answer : A — It lets code retrieve a ranked, limited set of runs by metric value, enabling automated best-run selection without manual inspection in the UI. A . `search_runs` with `order_by` and `max_results` is built to filter and rank runs programmatically, which is exactly what automated pipelines need to select a best run without a human browsing the UI. B . `search_runs` only queries and returns run metadata; it never deletes runs that happen to fall outside the requested result window. C . The Tracking UI keeps displaying metrics, parameters, and artifacts for an experiment regardless of whether the client API has also been used to query the same runs. D . Retrieving the best run through `search_runs` does not register anything; registering a model into Unity Catalog is a separate, explicit call to `mlflow.register_model`.