Crucial Exams

Microsoft Azure AI Engineer Associate AI-102 Practice Question

Your company is containerizing a line-of-business application in Azure Kubernetes Service (AKS). The application must call an Azure AI Foundry Service endpoint at runtime, but security standards forbid embedding or storing access keys. All calls must be authenticated through Azure AD and credentials must rotate automatically. What should you configure to satisfy these requirements?

  • Configure Azure AD workload identity by assigning a user-assigned managed identity to the AKS cluster and granting it the Cognitive Services User role on the Azure AI Foundry resource.

  • Enable the AI Foundry service firewall and allow traffic only from the AKS virtual network.

  • Create a shared access signature (SAS) token for the AI Foundry endpoint and distribute it to the application at deployment time.

  • Generate an API key for the AI Foundry resource, store the key in Azure Key Vault, and inject it into the pods as an environment variable.

Microsoft Azure AI Engineer Associate AI-102
Plan and manage an Azure AI solution
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