You have a Fabric workspace named Workspace1 that contains a warehouse named Warehouse1. You plan to deploy Warehouse 1 to a new workspace named Workspace2. As part of the deployment process, you…

A dbt project (data build tool) is primarily used for data transformation and modeling, not for validating references between Fabric workspace items during deployment.

A deployment pipeline in Microsoft Fabric is designed for deploying content between workspaces and automatically validates items for issues like invalid references during the deployment process, providing detailed error messages if any are found. This approach minimizes development effort compared to custom scripting or external tools and is an integrated solution for lifecycle management.

A Python script could potentially check references, but it would require significant development effort to parse Fabric item definitions and identify invalid references, which doesn't meet the 'minimize development effort' requirement.

A database project (like SQL Server Database Project) is used for source control and deployment of relational database schemas, but it is not directly integrated with Fabric's item validation for deployment across workspaces.