A data scientist is using MLflow to track their machine learning experiment.

Question

A data scientist is using MLflow to track their machine learning experiment. As a part of each of their MLflow runs, they are performing hyperparameter tuning. The data scientist would like to have one parent run for the tuning process with a child run for each unique combination of hyperparameter values. All parent and child runs are being manually started with mlflow.start_run.
Which of the following approaches can the data scientist use to accomplish this MLflow run organization?

Accepted Answer

B. Theycan specify nested=True when startingthe child run for each unique combination of hyperparameter values

Answer

A. Theycan turn on Databricks Autologging

Answer

C. Theycan start each child run inside the parentrun's indented code block usingmlflow.start runO

Answer

D. They can start each child run with the same experiment ID as the parent run

Answer

E. They can specify nested=True when starting the parent run for the tuningprocess

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Exam Databricks-Machine-Learning-Associate All Questions

Databricks ML Data Scientist Databricks-Machine-Learning-Associate Question # 17 Topic 2 Discussion

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