Deployment Pipelines and CI/CD Flashcards
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What are the three default stages in a Microsoft Fabric deployment pipeline?
Answer: Development, Testing, and Production
Fabric deployment pipelines have three built-in stages — Development, Testing, and Production — mirroring the standard software development lifecycle.
When deploying a lakehouse between Fabric deployment pipeline stages, what content is transferred?
Answer: Only the lakehouse item definition and schema; underlying data is not copied
Fabric deployment pipelines deploy item definitions and configurations, not the underlying data stored in lakehouses or warehouses.
What is the minimum workspace role required to deploy content to a stage in a Fabric deployment pipeline?
Answer: Admin or Member
Deploying content to a pipeline stage requires Admin or Member role in the target workspace to ensure write-level access.
What is the purpose of deployment rules in Microsoft Fabric deployment pipelines?
Answer: To override item properties such as data source connections when deploying between stages
Deployment rules let you override specific item configurations like connection strings so each pipeline stage automatically uses the appropriate environment settings.
How many workspaces can be assigned to a single stage in a Fabric deployment pipeline?
Answer: One workspace per stage
Each deployment pipeline stage supports exactly one workspace assignment, enforcing a one-to-one mapping between stages and environments.
Which of the following Fabric items is supported for deployment using Fabric deployment pipelines?
Answer: Semantic models
Semantic models (formerly datasets) are supported deployment pipeline items; underlying data content such as table rows is not deployed by pipelines.
Which feature in Fabric deployment pipelines lets you review differences between two pipeline stages before triggering a deployment?
Answer: Compare stages
The 'Compare stages' feature displays a side-by-side diff of items between two pipeline stages so you understand exactly what will change before deploying.