Câu 42: Databricks Certified Machine Learning Associate

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?

1. A. They can turn on Databricks Autologging
2. B. They can specify nested=True when starting the child run for each unique combination of hyperparameter values — đáp án hiện tại
3. C. They can start each child run inside the parent run's indented code block using mlflow.start_run()
4. D. They can start each child run with the same experiment ID as the parent run
5. E. They can specify nested=True when starting the parent run for the tuning process