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Deployment Pipelines and CI/CD Flashcards

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  1. Which Microsoft Fabric REST API operation is used to programmatically trigger a deployment between pipeline stages?

    Answer: POST /v1/pipelines/{pipelineId}/deploy

    The Fabric REST API exposes a deploy operation on the pipeline resource that accepts the pipeline ID and target stage configuration to trigger programmatic deployments.

  2. What is the recommended approach for handling different data source connections across Development, Test, and Production stages in Fabric deployment pipelines?

    Answer: Configure deployment rules to automatically override data source parameters per stage

    Deployment rules allow stage-specific parameter overrides so each stage automatically uses the correct connection string without manual intervention after each deployment.

  3. What does the selective deployment feature in Fabric deployment pipelines allow you to do?

    Answer: Deploy only specific items from a stage rather than deploying all items at once

    Selective deployment lets you choose individual items within a pipeline stage to promote, giving granular control over what gets deployed in each operation.

  4. How can Fabric deployment pipeline deployments be incorporated into an Azure DevOps CI/CD release pipeline?

    Answer: By calling the Fabric REST API deploy endpoint from a script task in the Azure DevOps pipeline

    Fabric deployment pipelines are triggered via REST API calls, which can be incorporated into Azure DevOps release pipelines using PowerShell or Bash script tasks.

  5. What is the primary advantage of combining Git integration with deployment pipelines in a Fabric CI/CD strategy?

    Answer: Git provides version history and branching for collaboration while pipelines handle stage promotion with environment-specific configuration rules

    Git integration and deployment pipelines serve complementary roles: Git manages source control and collaboration while pipelines manage environment promotion with stage-specific configurations.

  6. Which type of configuration override is supported by deployment rules in Fabric deployment pipelines for semantic models?

    Answer: Data source connection parameter overrides (e.g., server name, database)

    Fabric deployment rules support overriding data source connection parameters such as server name and database name for semantic models when deploying between stages.

  7. What is the recommended Git branching strategy for teams using Fabric workspace Git integration?

    Answer: Feature branches per developer that merge to a main branch connected to the development workspace

    Best practice is for developers to use feature branches with the development workspace connected to the main/trunk branch, following standard GitFlow principles to isolate changes.