Question 1

You installed the Azure Machine Learning Python SDK and you want to use it to create a workspace named “aml-workspace” on your subscription.

How do you code this in Python?

from azureml.core import Workspace ws = Workspace.create(name='aml-workspace', subscription_id='123456-abc-123...', resource_group='aml-resources', create_resource_group=True, location='eastus' )

azureml.core import Workspace ws = Workspace.create(name='aml-workspace', subscription_id='123456-abc-123...', resource_group='aml-resources', create_resource_group=False, location='eastus' )

from azureml.core import Workspace ws = Workspace.create(name='aml-workspace', subscription_id='123456-abc-123...', resource_group='aml-resources', location='eastus' )

Question 2

You installed the Azure Machine Learning CLI extension and you want to use it to create an ML workspace in an existing resource group.

Which Azure CLI command does this?

Question 3

Which of the following package managers and CLI commands can you use to install the Azure Machine Learning SDK for Python?

Question 4

If you want to connect to your Azure ML workspace using a configuration file, which Python command can you use?

Question 5

After an experiment run has been completed, what run object method can you use to list the generated files?

Question 6

After you run an experiment to train a model, you want to store the model in the Azure ML workspace, so it can be available to other experiments and services.

How can you do this?

Question 7

If you want to view the models you registered in Azure ML studio using the Model object, which Python command can you use?