Free DATABRICKS-MACHINE-LEARNING-ASSOCIATE Web TestEngine Demo

Q21 Single choice

A data scientist has run several trials with different parameters and logged them under an MLflow experiment churn_prediction. Now they want to retrieve the run that performed best according to certain model metrics.

How can the data scientist perform this task?

A
Use the mlflow.get_best_run() function with the necessary filter
B
Use the mlflow.client.MlflowClient.search_runs() function with search_all_experiments=True and filter on the pandas DataFrame returned.
C
Use the mlflow.get_experiment() function to retrieve the experiment. Filter on the runs property which has the list of all metadata for each run including the model metric
D
Use the mlflow.search_runs() function with the experiment name and filter on the pandas DataFrame returned.

DATABRICKS-MACHINE-LEARNING-ASSOCIATE Web TestEngine demo