Crucial Exams

Microsoft Azure AI Engineer Associate AI-102 Practice Question

Your organization enforces a policy that no customer data may leave its on-premises network. You must integrate Azure AI Foundry's named-entity recognition model into an existing offline Kubernetes cluster and have your release pipeline update the binaries automatically. Which deployment approach best meets these requirements?

  • Wrap the entity-recognition REST API in an Azure Function deployed to Azure Stack Edge.

  • Create an Azure AI multi-service resource in a paired Azure region and access it over ExpressRoute from on-premises.

  • Download the Azure AI Foundry container for entity recognition and run it in the local Kubernetes cluster, updating the image through the pipeline.

  • Deploy the model as an Azure Machine Learning managed online endpoint exposed through a private link service.

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