Exam DP-100 topic 3 question 61 discussion

HOTSPOT -
You are running Python code interactively in a Conda environment. The environment includes all required Azure Machine Learning SDK and MLflow packages.
You must use MLflow to log metrics in an Azure Machine Learning experiment named mlflow-experiment.
How should you complete the code? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Hot Area:

Suggested Answer:
Box 1: mlflow.set_tracking_uri(ws.get_mlflow_tracking_uri())
In the following code, the get_mlflow_tracking_uri() method assigns a unique tracking URI address to the workspace, ws, and set_tracking_uri() points the MLflow tracking URI to that address. mlflow.set_tracking_uri(ws.get_mlflow_tracking_uri())
Box 2: mlflow.set_experiment(experiment_name)
Set the MLflow experiment name with set_experiment() and start your training run with start_run().
Box 3: mlflow.start_run()

Box 4: mlflow.log_metric -
Then use log_metric() to activate the MLflow logging API and begin logging your training run metrics.
Reference:
https://docs.microsoft.com/en-us/azure/machine-learning/how-to-use-mlflow