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Choose the best response for each of the questions below. Then select Check your answers.

1.

What is the correct method to log a model metric, _rmse, in MLflow?

mlflow.log("RMSE", _rmse)

mlflow.log_artifact("RMSE", _rmse)

mlflow.log_metric("RMSE", _rmse)

2.

Leon wants to run an Azure Machine Learning experiment in Azure Databricks. An MLflow experiment is configured and Leon is about to run it. He realizes he forgot a step. What should have been done first?

Register the model in Azure Machine Learning.

Log the experiment metrics with MLflow.

Configure MLflow tracking URI to use Azure Machine Learning.

3.

You want to run an Azure Machine Learning Pipeline. The first step of the pipeline is to preprocess the data by running a Python script on Azure Databricks Compute. The configuration is defined and now you need to create the compute. Which type of object should you use?

DatabricksAttachConfiguration

ComputeTarget

DatabricksCompute

You must answer all questions before checking your work.

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