Azure ML online endpoint fails with SubscriptionNotRegistered [N/A]

[N/A] is not identified in the available guidance as a specific Azure ML backend dependency name. The supported remediation in the available guidance is to treat this as a resource provider registration issue and explicitly verify or re-register providers commonly required by Azure Machine Learning online endpoint deployments.

Supported actions:

1. List providers that are not fully registered:

      az provider list --query "[?registrationState!='Registered'].{Provider:namespace, State:registrationState}" -o table
   

2. Re-register providers that are commonly required for Azure ML online endpoint deployments, even if they already appear registered. The guidance specifically calls out these providers as common dependencies:
   • Microsoft.MachineLearningServices
   • Microsoft.CDN
   • Microsoft.PolicyInsights
   • Microsoft.Storage
   • Microsoft.ContainerRegistry
   • Microsoft.KeyVault
   • Microsoft.Notebooks
   • Microsoft.Network if virtual networking is involved
   • Microsoft.ContainerService if Kubernetes is involved
   • In similar cases, Microsoft.ContainerInstance, Microsoft.Web, Microsoft.OperationalInsights, and Microsoft.ManagedIdentity were also called out as commonly required for AML deployments
3. Wait a few minutes after registration and retry, because provider registration is not instant.
4. Check endpoint and deployment state during retry:

      az ml online-endpoint show -n <endpoint-name>
   

   For deployments that exist, use:

      az ml online-deployment show -e <endpoint-name> -n <deployment-name> --query '{name:name,state:provisioning_state}'
   

5. If a deployment object is created, retrieve logs to determine whether the failure is actually authorization, image pull, model download, or network related:

      az ml online-deployment get-logs -e <endpoint-name> -n <deployment-name> -l 100
   

6. If all relevant providers are registered and the error still shows SubscriptionNotRegistered with provider [N/A], the available guidance indicates this can be an Azure backend issue tied to the subscription. In that case, the supported remediation is to open an Azure support ticket and include the failing operation and correlation IDs so support can inspect backend logs for the exact provider name.

From the available guidance, there is no supported statement that a special Azure ML real-time inference feature flag is required for managed online endpoints.

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