Crucial Exams

Microsoft Azure AI Engineer Associate AI-102 Practice Question

Contoso is implementing a document-processing workflow that uses Azure AI Document Intelligence (formerly Form Recognizer). Because of strict data-sovereignty policies, the scanned documents must never leave the company's datacenter. The engineering team will run the workload in an on-premises Kubernetes cluster but wants usage to be billed through the existing Azure subscription. Which deployment approach meets all requirements?

  • Pull the official Document Intelligence container image from the Microsoft Container Registry, run it in the on-premises Kubernetes cluster, and provide the Cognitive Services resource endpoint and key as environment variables.

  • Deploy the prebuilt Document Intelligence model to Azure Container Apps in the cloud and call its public endpoint.

  • Export the Document Intelligence model to ONNX format and execute it offline, eliminating all Azure dependencies.

  • Provision an Azure Stack Edge device and deploy the Document Intelligence cloud resource to it using the standard managed endpoint.

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