Question 26
Domain 1: Databricks Machine LearningA machine learning engineer wants to programmatically determine which experiment run performed best. Which tool should the engineer use for this task?
Correct answer: A
Explanation
Use the MLflow Client API when you need to identify or work with the best run programmatically within MLflow experiments. — official.txt
Why each option is right or wrong
A. Use the MLflow Client API to identify the best run
The source material explicitly states that identifying the best run should be done using the MLflow Client API, which directly matches the engineer’s need to determine the top experiment run programmatically.
B. Use a Databricks cluster policy to identify the best run
Cluster policies govern compute configuration, not experiment run selection.
C. Use a workspace notebook comment to identify the best run
Notebook comments document work but do not programmatically evaluate runs.
D. Use a job schedule to identify the best run
Job schedules automate execution timing, not best-run identification.