not authorized to perform: sagemaker:CreateModel on resource

Question

I have been given AmazonSagemakerFullAccess by my companie's AWS admin. No one at our company can figure out why I can't get this line to run to launch the model.

***** CODE PRODUCING ERROR *****

lang_id = sagemaker.Model(
    image_uri=container, model_data=model_location, role=role, sagemaker_session=sess
)
lang_id.deploy(initial_instance_count=1, instance_type="ml.t2.medium")

***** ERROR MESSAGE *****
---------------------------------------------------------------------------
ClientError                               Traceback (most recent call last)
 in 
      2     image_uri=container, model_data=model_location, role=role, sagemaker_session=sess
      3 )
----> 4 lang_id.deploy(initial_instance_count=1, instance_type="ml.t2.medium")
      5 
      6 from sagemaker.deserializers import JSONDeserializer

~/anaconda3/envs/tensorflow2_p36/lib/python3.6/site-packages/sagemaker/model.py in deploy(self, initial_instance_count, instance_type, serializer, deserializer, accelerator_type, endpoint_name, tags, kms_key, wait, data_capture_config, async_inference_config, serverless_inference_config, **kwargs)
   1132 
   1133         self._create_sagemaker_model(
-> 1134             instance_type, accelerator_type, tags, serverless_inference_config
   1135         )
   1136

~/anaconda3/envs/tensorflow2_p36/lib/python3.6/site-packages/sagemaker/model.py in _create_sagemaker_model(self, instance_type, accelerator_type, tags, serverless_inference_config)
    671             tags=tags,
    672         )
--> 673         self.sagemaker_session.create_model(**create_model_args)
    674 
    675     def _ensure_base_name_if_needed(self, image_uri, script_uri, model_uri):

~/anaconda3/envs/tensorflow2_p36/lib/python3.6/site-packages/sagemaker/session.py in create_model(self, name, role, container_defs, vpc_config, enable_network_isolation, primary_container, tags)
   2715                     raise
   2716 
-> 2717         self._intercept_create_request(create_model_request, submit, self.create_model.__name__)
   2718         return name
   2719

~/anaconda3/envs/tensorflow2_p36/lib/python3.6/site-packages/sagemaker/session.py in _intercept_create_request(self, request, create, func_name)
   4294             func_name (str): the name of the function needed intercepting
   4295         """
-> 4296         return create(request)
   4297 
   4298

~/anaconda3/envs/tensorflow2_p36/lib/python3.6/site-packages/sagemaker/session.py in submit(request)
   2703             LOGGER.debug("CreateModel request: %s", json.dumps(request, indent=4))
   2704             try:
-> 2705                 self.sagemaker_client.create_model(**request)
   2706             except ClientError as e:
   2707                 error_code = e.response["Error"]["Code"]

~/anaconda3/envs/tensorflow2_p36/lib/python3.6/site-packages/botocore/client.py in _api_call(self, *args, **kwargs)
    506                 )
    507             # The "self" in this scope is referring to the BaseClient.
--> 508             return self._make_api_call(operation_name, kwargs)
    509 
    510         _api_call.__name__ = str(py_operation_name)

~/anaconda3/envs/tensorflow2_p36/lib/python3.6/site-packages/botocore/client.py in _make_api_call(self, operation_name, api_params)
    909             error_code = parsed_response.get("Error", {}).get("Code")
    910             error_class = self.exceptions.from_code(error_code)
--> 911             raise error_class(parsed_response, operation_name)
    912         else:
    913             return parsed_response

ClientError: An error occurred (AccessDeniedException) when calling the CreateModel operation: User: arn:aws:sts::XXXXXXXXXX:assumed-role/sagemakeraccesstoservices/SageMaker is not authorized to perform: sagemaker:CreateModel on resource: arn:aws:sagemaker:us-east-2:XXXXXXXXXX:model/blazingtext-2022-08-09-13-58-21-739 because no identity-based policy allows the sagemaker:CreateModel action

Answer

Based on your description I understand that you are trying to create a Model using the Amazon SageMaker Python SDK with an assumed IAM Role with the AmazonSagemakerFullAccess policy, which should allow sagemaker:CreateModel.
It's difficult to identify what the underlying issue is since multiple IAM mechanisms (like SCPs or explicit Denies) can prevent the sagemaker:CreateModel permission.

To work towards a solution I would recommend:
1. Simulate the sagemaker:CreateModel action using the [IAM Policy Simulator](https://policysim.aws.amazon.com/home/index.jsp) with your User/Role. This may identify the root cause for your issue and how it can be fixed.
2. Open an [AWS Support](https://aws.amazon.com/premiumsupport/) ticket describing the issue. AWS Support engineers are highly trained, experienced and well equipped to provide you with timely assistance.

not authorized to perform: sagemaker:CreateModel on resource

***** ERROR MESSAGE *****

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