Compute Instance State Management

Sign in to the Microsoft Azure Portal.

Navigate to All resources blade available at https://portal.azure.com/#browse/all to access all your Microsoft Azure cloud resources.

Choose the Azure subscription that you want to access from the Subscription equalls all filter box and choose Apply.

From the Type equals all filter box, select Type for Filter, Equals for Operator, and Azure Machine Learning workspace for Value, then choose Apply to list the Azure Machine Learning workspaces available in the selected subscription.

Click on the name (link) of the Machine Learning workspace that you want to examine.

In the resource navigation panel, select Overview, and choose Launch studio to open the Azure Machine Learning Studio.

In the left navigation panel, under Manage, choose Compute, and select the Compute instances tab to list the compute instances provisioned for the selected Azure Machine Learning workspace.

Click on the name (link) of the compute instance that you want to examine.

Select the Details tab and click on the Edit button (pencil icon) available in the Schedules section.

Check the Enable idle shutdown setting state to determine the idle shutdown feature status for the selected compute instance. If the Enable idle shutdown setting is disabled, automatic idle shutdown is not enabled for the selected Azure Machine Learning compute instance.

Run account list command (Windows/macOS/Linux) with custom output filters to list the IDs of the cloud subscriptions available in your Azure cloud account:

az account list
	--query '[*].id'

The command output should return the requested subscription identifiers (IDs):

[
	"abcdabcd-1234-abcd-1234-abcdabcdabcd",
	"abcd1234-abcd-1234-abcd-abcd1234abcd"
]

Run account set command (Windows/macOS/Linux) with the ID of the Azure cloud subscription that you want to examine as the identifier parameter to set the selected subscription to be the current active subscription (the command does not produce an output):

az account set
	--subscription abcdabcd-1234-abcd-1234-abcdabcdabcd

Run ml workspace list command (Windows/macOS/Linux) with custom output filters to list the name and the associated resource group for each Azure Machine Learning workspace available in the current subscription:

az ml workspace list
	--output table
	--query '[*].{name:name, resourceGroup:resourceGroup}'

The command output should return the requested Azure Machine Learning workspace identifiers:

Name                           ResourceGroup
------------------------       ------------------------------
tm-ml-project5-workspace       cloud-shell-storage-westeurope
tm-ml-production-workspace     cloud-shell-storage-westeurope

Run ml compute list command (Windows/macOS/Linux) with custom output filters to list the name of each compute instance provisioned for the selected Azure Machine Learning workspace:

az ml compute list
	--resource-group cloud-shell-storage-westeurope
	--workspace-name tm-ml-project5-workspace
	--output table
	--query "[].{Name:name}"

The command output should return the requested compute instance identifiers (names):

Name
----------------------
project5-ml-instance01
project5-ml-instance02
project5-ml-instance03

Run ml compute show command (Windows/macOS/Linux) with the name of the Azure Machine Learning compute instance that you want to examine as the identifier parameter, to determine the idle shutdown feature status for the selected compute instance:

az ml compute show
	--name project5-ml-instance01
	--workspace-name tm-ml-project5-workspace
	--resource-group cloud-shell-storage-westeurope
	--query "{idle_time_before_shutdown:idle_time_before_shutdown}"

The command output should return the time before shutdown configured for the idle shutdown feature:

{
	"idle_time_before_shutdown": null
}

If the ml compute show command output returns null for the "idle_time_before_shutdown" configuration attribute, as shown in the example above, automatic idle shutdown is not enabled for the selected Azure Machine Learning compute instance.