Repository navigation
"Deploy and monitor a model in Azure Machine Learning" deploy-prod fails at "Deploy model to managed online endpoint" #72
Description
Following Deploy and monitor a model in Azure Machine Learning, "/deploy-prod" fails.
After commenting "/deploy-prod", it is supposed to create an endpoint and deploy to it.
The GitHub action fails at the "Deploy model to managed online endpoint" step with the following error:
Run python src/deploy_to_online_endpoint.py \
Traceback (most recent call last):
Connecting to Azure Machine Learning workspace...
File "/opt/hostedtoolcache/Python/3.10.21/x64/lib/python3.10/site-packages/azure/core/polling/base_polling.py", line 950, in run
Ensuring online endpoint 'diabetes-endpoint-73dcd7c9' exists...
self._poll()
File "/opt/hostedtoolcache/Python/3.10.21/x64/lib/python3.10/site-packages/azure/core/polling/base_polling.py", line 982, in _poll
raise OperationFailed("Operation failed or canceled")
azure.core.polling.base_polling.OperationFailed: Operation failed or canceled
The above exception was the direct cause of the following exception:
Traceback (most recent call last):
File "/home/runner/work/mslearn-mlops/mslearn-mlops/src/deploy_to_online_endpoint.py", line 119, in <module>
main()
File "/home/runner/work/mslearn-mlops/mslearn-mlops/src/deploy_to_online_endpoint.py", line 100, in main
endpoint = ensure_endpoint(ml_client, args.endpoint_name)
File "/home/runner/work/mslearn-mlops/mslearn-mlops/src/deploy_to_online_endpoint.py", line 57, in ensure_endpoint
return ml_client.online_endpoints.begin_create_or_update(endpoint).result()
File "/opt/hostedtoolcache/Python/3.10.21/x64/lib/python3.10/site-packages/azure/core/polling/_poller.py", line 323, in result
self.wait(timeout)
File "/opt/hostedtoolcache/Python/3.10.21/x64/lib/python3.10/site-packages/azure/core/tracing/decorator.py", line 119, in wrapper_use_tracer
return func(*args, **kwargs)
File "/opt/hostedtoolcache/Python/3.10.21/x64/lib/python3.10/site-packages/azure/core/polling/_poller.py", line 342, in wait
raise self._exception # type: ignore
File "/opt/hostedtoolcache/Python/3.10.21/x64/lib/python3.10/site-packages/azure/core/polling/_poller.py", line 247, in _start
self._polling_method.run()
File "/opt/hostedtoolcache/Python/3.10.21/x64/lib/python3.10/site-packages/azure/core/polling/base_polling.py", line 965, in run
raise HttpResponseError(response=self._pipeline_response.http_response, error=err) from err
azure.core.exceptions.HttpResponseError: (SubscriptionNotRegistered) Resource provider [N/A] isn't registered with Subscription [N/A]. Please see troubleshooting guide, available here: https://aka.ms/register-resource-provider
Code: SubscriptionNotRegistered
Message: Resource provider [N/A] isn't registered with Subscription [N/A]. Please see troubleshooting guide, available here: https://aka.ms/register-resource-provider
Error: Process completed with exit code 1.
Activity
mattflaschen commentedon Sep 2, 2026
This is an easy fix in the
setup.shscript (just theaz provider registerline below):Since it doesn't say which resource provider is missing ("N/A"), I added Microsoft.PolicyInsights (credit to https://learn.microsoft.com/en-us/answers/questions/5601678/azure-ml-endpoint-creation-fails-persistent-subscr and https://learn.microsoft.com/en-us/answers/questions/1983847/error-while-creating-a-managed-online-endpoint-in ) in Cloud Shell.
I was going to add others if that wasn't sufficient. For me, it worked with just Microsoft.PolicyInsights (though it took the overall deploy-prod action a full 26m 44s, the vast majority "Creating or updating deployment 'blue'..."; I was surprised when it eventually completed).
After adding that provider, I:
Checking provider status:
az provider show -n Microsoft.PolicyInsights --query "registrationState"