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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 Azure Kubernetes Service (AKS) supports token-based authentication using Azure Active Directory (Azure AD) through the token_auth_enabled parameter. This parameter specifically enables Azure AD authentication for web services, which aligns with the requirement for users to authenticate via Azure AD. Option B and C are incorrect because Azure Container Instances (ACI) does not support the token_auth_enabled parameter for Azure AD authentication. Option D is incorrect because the auth_enabled parameter is used for key-based authentication, not Azure AD authentication, and the correct parameter name is token_auth_enabled, not auth.enabled. The community discussion, including highly upvoted comments, confirms that AKS with token_auth_enabled set to true is the proper configuration for Azure AD authentication.
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You have an Azure Machine Learning workspace with a trained model that you need to deploy as a real-time web service. This service must require Azure Active Directory authentication for users. What is the required deployment configuration?
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