Question

Your organization is standardizing on Azure AI Foundry. The platform team wants a central place to configure shared networking, connections to Azure OpenAI, and a common security and governance boundary, while individual data science teams each need isolated workspaces for their own model deployments, prompt flows, and code assets. You must implement this with the fewest configuration steps and maximize resource reuse. Which approach should you take when creating the Foundry resources?

Accepted Answer

Create one Foundry hub for the organization and create a separate Foundry project under that hub for each data science team.

Answer

Create one Foundry hub and a single shared project, and separate the teams using folders inside the project.

Answer

Create a separate Foundry hub for each team and one shared project that all hubs reference.

Answer

Create one Foundry project for the organization and add a child hub for each data science team.