Question

Your team uses a Fabric deployment pipeline with Development, Test, and Production stages. A data engineer updated three notebooks and one semantic model in the Development stage, but a colleague warns that a fourth notebook still in Development is experimental and must NOT reach Test yet. Before deploying, you want to verify exactly which items differ between Development and Test and push only the approved changes. Which approach meets these requirements with the least risk?

Accepted Answer

Use the deployment pipeline's compare view to identify changed items, then deploy only the selected approved items to the Test stage.

Answer

Deploy the entire Development stage to Test, then manually delete the experimental notebook from the Test stage afterward.

Answer

Create a Git branch from Development containing only the approved items and merge it directly into the Test workspace.

Answer

Configure a deployment rule on the experimental notebook so it is skipped during the deployment to Test.