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Answer: Deploy the model to Azure Kubernetes Service (AKS). During deployment, set the token_auth_enabled parameter of the target configuration object to true
The correct answer is A because it specifies deploying to Azure Kubernetes Service (AKS) with the token_auth_enabled parameter set to true, which enables Azure Active Directory authentication. This is supported by the Microsoft documentation for v1 SDK and confirmed by the community discussion where the highest upvoted comments (8 and 4 upvotes) explain that AKS supports token-based authentication for Azure AD, while Azure Container Instances (ACI) does not support the token_auth_enabled parameter. Option D is incorrect because auth_enabled enables key-based authentication, not Azure AD. Options B and C are incorrect because ACI does not support Azure AD token authentication.
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You have an Azure Machine Learning workspace with a trained model that you need to deploy as a web service. The web service must require authentication via Azure Active Directory.
What should you do?
A
Deploy the model to Azure Kubernetes Service (AKS). During deployment, set the token_auth_enabled parameter of the target configuration object to true
B
Deploy the model to Azure Container Instances. During deployment, set the auth_enabled parameter of the target configuration object to true
C
Deploy the model to Azure Container Instances. During deployment, set the token_auth_enabled parameter of the target configuration object to true
D
Deploy the model to Azure Kubernetes Service (AKS). During deployment, set the auth.enabled parameter of the target configuration object to true