Databricks Certified Machine Learning Associate Practice Mode

Community Discussion

Written by other learners. Comments can disagree with the marked answer — check the official documentation when in doubt.

• Chose A0

  - Correct answer : A — AutoML logs every trial as an MLflow run, capturing parameters, metrics, and artifacts so the manager can compare all trials, not only the best one, in the MLflow UI. A . Every AutoML trial is tracked as its own MLflow run with parameters, metrics, and artifacts, so the manager can open the MLflow experiment and compare all trials side by side, not just the one AutoML selected as best. B . AutoML does not discard the non-winning trials; each one remains logged as an MLflow run with its own parameters and metrics available for later comparison. C . Trial results are not stashed in an ephemeral local CSV on the driver — they are written to MLflow, which persists independently of the cluster's lifecycle. D . AutoML does not communicate results only through a one-time emailed summary; the run data for every trial stays queryable and reopenable in MLflow after the job finishes.