Crucial Exams

Microsoft Azure AI Engineer Associate AI-102 Practice Question

You are onboarding your team to Azure AI Foundry in a new subscription. The plan is to let multiple product groups share centrally managed generative AI assets while retaining autonomy over their own data and spending. You must create the first objects in the correct order so that later projects can:

  • inherit common networking and governance settings,
  • deploy managed AI resources in the same region, and
  • be billed to their own resource groups. Which sequence of deployments satisfies these requirements?

  • Create a Foundry hub → create a Foundry project in its own resource group → add Azure AI resources to the project

  • Create a Foundry project → deploy Azure AI resources → register the project to a Foundry hub

  • Deploy Azure AI resource instances → create a Foundry hub → attach the resources to a new project

  • Create individual resource groups with the required Azure AI resources → register each group as a Foundry project → set up a Foundry hub for shared networking

Microsoft Azure AI Engineer Associate AI-102
Implement generative AI solutions
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