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Troubleshoot Azure Machine Learning managed virtual network

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This article provides information on troubleshooting common issues with Azure Machine Learning managed virtual network.

Can I still use an Azure Virtual Network?

Yes, you can still use an Azure Virtual Network for network isolation. If you're using the v2 Azure CLI and Python SDK, the process is the same as before the introduction of the managed virtual network feature. The process through the Azure portal changed slightly.

To use an Azure Virtual Network when creating a workspace through the Azure portal, use the following steps:

  1. When creating a workspace, select the Networking tag.
  2. Select Private with Internet Outbound.
  3. In the Workspace inbound access section, select Add and add a private endpoint for the Azure Virtual Network to use for network isolation.
  4. In the Workspace Outbound access section, select Use my own virtual network.
  5. Continue to create the workspace as normal.

Does not have authorization to perform action 'Microsoft.MachineLearningServices
/workspaces/privateEndpointConnections/read'

When you create a managed virtual network, the operation can fail with an error similar to the following text:

"The client '<GUID>' with object id '<GUID>' doesn't have authorization to perform action 'Microsoft.MachineLearningServices/workspaces/privateEndpointConnections/read' over scope '/subscriptions/<GUID>/resourceGroups/<resource-group-name>/providers/Microsoft.MachineLearningServices/workspaces/<workspace-name>' or the scope is invalid."

This error occurs when the Azure identity used to create the managed virtual network doesn't have the following Azure role-based access control permissions:

  • Microsoft.MachineLearningServices/workspaces/privateEndpointConnections/read
  • Microsoft.MachineLearningServices/workspaces/privateEndpointConnections/write

Troubleshoot configurations on connecting to storage

When you create a workspace, required outbound rules to Azure storage are autocreated for data upload scenarios and artifact storage. Ensure your Azure storage is set up correct by checked with the following steps:

  1. In Azure portal, check the network settings of the storage account that is associated to your hub.
  • If public network access is set to Enabled from selected virtual networks and IP addresses, ensure the correct IP address ranges are added to access your storage account.
  • If public network access is set to Disabled, ensure you have a private endpoint configured from your Azure virtual network to your storage account with Target subresource as blob. In addition, you must grant the Reader role for the storage account private endpoint to the managed identity.
  1. In Azure portal, navigate to your Azure Machine Learning workspace. Ensure the managed virtual network is provisioned and the outbound private endpoint to blob storage is Active.

Next steps

For more information, see Managed virtual networks.