Hello, I tried to to set up a Machine Learning Workspace in Azure with Python.

workspace = azure_native.machinelearningservices.Workspace(
            resource_name=name,
            resource_group_name=resource_group.name,
            key_vault=keyvault.id,
            location=resource_group.location,
            public_network_access="Enabled",
            hbi_workspace=False,
            identity={
                "type": "SystemAssigned",
            },
            application_insights=app_insights.id,
            sku={
                "name": "Basic",
                "tier": "Basic",
            },
            storage_account=storage_account.id,
            workspace_name=name,
        )

When trying to deploy I get the following Error message:

error: Code="ValidationError" Message="Missing dependent resources in workspace json"

Setting up the MLWorkspace in the Portal with the same dependent resources works. Did anyone experience the same issue and might provide a solution? Thx for your help.