You have a new Fabric tenant. You need to recommend a workspace architecture to meet best practices for content distribution and data governance. Which action should you recommend?

• A. Place semantic models and reports in separate workspaces.
• B. Reuse shared semantic models for multiple reports
• C. Put all content into a single workspace
• D. Use different cloud regions for workspaces

Answer: (A)

Separating governance-enabled models from reports is the best way to manage content distribution and data governance in Fabric. By placing semantic models in their own workspace, you create a central, governed source of truth that can be reused by many reports across the tenant. This setup lets data engineers define and version the business logic, metrics, and relationships once, while business users consume consistent definitions through reports without risk of drift.

With this arrangement, access can be controlled more clearly: model-edit permissions are restricted to the team responsible for the data model, while report readers are granted access to the reports that consume the model. Updates to the model propagate to all connected reports, maintaining consistency and simplifying governance auditability and lineage.

Putting everything in a single workspace makes governance and reuse harder, as there’s no centralized place to manage the model’s semantics and security. Reusing a shared model for multiple reports is valuable, but it’s most effective when the model itself is isolated in its own governed space. Using different cloud regions doesn’t directly address governance or distribution concerns and can introduce latency and compliance complexities rather than improve them.

So, the recommended action is to place semantic models and reports in separate workspaces to support scalable distribution and robust data governance.