If your workspace is secured with a private endpoint, that is enough to secure commands provided by the azure-cli-ml extension. Operations such as submitting a training job communicate directly with the Azure Machine Learning workspace. Specifically, commands that create, update, delete, list, or show Azure resources.
With the Azure Machine Learning CLI extension v1 ( azure-cli-ml), only some of the commands communicate with the Azure Resource Manager. This communication is secured using HTTPS/TLS 1.2. Some of the Azure CLI commands communicate with Azure Resource Manager over the internet. If you delete the Application Insights instance created by the workspace, you cannot re-create it without deleting and recreating the workspace.įor more information on using this Application Insights instance, see Monitor and collect data from Machine Learning web service endpoints. Deleting it limits the information gathered from the workspace, and may make it more difficult to troubleshoot problems. You can delete the Application Insights instance after cluster creation if you want.
#Microsoft workspaces how to#
For information on how to see if it is registered and how to register it, see the Azure resource providers and types article.Īn Azure Application Insights instance is created when you create the workspace. The resource provider for Azure Machine Learning is Microsoft.MachineLearningServices. For example, creating a workspace in subscription A that uses a storage account from subscription B, the Azure Machine Learning namespace must be registered in subscription B before you can use the storage account with the workspace. If you want to use existing services from a different Azure subscription than the workspace, you must register the Azure Machine Learning namespace in the subscription that contains those services. When creating a new workspace, you can either automatically create services needed by the workspace or use existing services. If you use the Azure Cloud Shell, the CLI is accessed through the browser and lives in the cloud. To use the CLI commands in this document from your local environment, you need the Azure CLI.
#Microsoft workspaces free#
If you don't have one, try the free or paid version of Azure Machine Learning. The machine learning extension for the CLI provides commands for working with Azure Machine Learning resources. The Azure CLI provides commands for managing Azure resources and is designed to get you working quickly with Azure, with an emphasis on automation. In this article, you learn how to create and manage Azure Machine Learning workspaces using the Azure CLI. For more information, see Machine Learning CLI (v1). We recommend you select v2 (current) for the enhanced v2 CLI using the ml extension. The Azure CLI commands in this article require the azure-cli-ml, or v1, extension for Azure Machine Learning.
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