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

1.

A data scientist wants to train a deep learning model. To allow for experimentation with datasets and algorithms, which GPU compute should be made available to the data scientist?

A low-priority compute cluster.

A dedicated compute cluster.

A compute instance.

2.

Which approach should be used to monitor the GPU usage of a specific Azure Machine Learning run?

Explore the metrics of the Azure Machine Learning workspace in the Azure portal.

Explore the Details tab of the run in the Azure Machine Learning studio.

Explore the Monitoring tab of the run in the Azure Machine Learning studio.

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