Exam DP-100 topic 2 question 58 discussion

https://learn.microsoft.com/en-us/azure/machine-learning/v1/how-to-authenticate-web-service So there's a token_auth_enabled parmeter

Explanation: Azure Kubernetes Service (AKS): AKS provides enterprise-grade security, governance, and increased scalability. It is ideal for production deployments. token_auth_enabled parameter: This parameter, when set to true, enables token-based authentication using Azure Active Directory for the deployed web service. The other options do not correctly combine the deployment target and configuration parameters for enabling Azure Active Directory authentication: B and C (Azure Container Instances): While you can deploy models to Azure Container Instances (ACI), they do not support the token_auth_enabled parameter for Azure AD authentication. D (auth.enabled parameter): This is not a recognized parameter for setting up Azure AD authentication in the deployment configuration. Thus, the correct deployment strategy involves using AKS and setting token_auth_enabled to true during the deployment process

GPT says D is correct

the 2 parameters exists in the documentation, there is a slight difference in their definitions : token_auth_enabled = Whether or not to enable Token auth for this Webservice. If this is enabled, users can access this Webservice by fetching access token using their Azure Active Directory credentials auth_enabled = Whether or not to enable key auth for this Webservice. Defaults to True. since we are using Azure Active Directory, answer A is correct

On exam 18 Aug 2023

Its identity based for AAD , not credential based SAS(token). so "D" is the correct answer!

On exam 20 July 2023.

I think D is correct. # Define workspace and model details workspace = Workspace.from_config() model = Model(workspace, 'model_name') aks_service_name = 'my-aks-service' deployment_config = AksWebservice.deploy_configuration( cpu_cores=1, memory_gb=1, auth_enabled=True # Enable Azure Active Directory authentication) env = Environment.from_conda_specification(name='env_name', file_path='./conda_dependencies.yml') auth = InteractiveLoginAuthentication() aks_service = Model.deploy( workspace=workspace, name=aks_service_name, models=[model], inference_config=inference_config, deployment_config=deployment_config, environment=env, auth=auth, overwrite=True)

I can't find token_auth_enabled parameter. In ref i got parameter "auth_mode". https://learn.microsoft.com/en-us/azure/machine-learning/how-to-authenticate-online-endpoint You can set the authentication type when you create an online endpoint. Set the auth_mode to key or aml_token depending on which one you want to use. The default value is key.

correct