DP-700 Implement and Manage an Analytics Solution Practice Question
Your organization wants to automate the deployment of Fabric items using a CI/CD pipeline in Azure DevOps. You need to programmatically trigger the deployment of a Fabric workspace from the 'Development' stage to the 'Test' stage in a deployment pipeline. Which approach should you use?
⚠ Common exam trap
Test-takers frequently select general Azure DevOps deployment tasks or generic Git integration settings instead of recognizing that Fabric provides a dedicated REST API endpoint specifically for deployment pipelines.
Answer choices
Why each option matters
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
Use the Fabric REST API 'Deploy' endpoint for pipelines.
Microsoft Fabric provides a REST API that allows for the programmatic management of deployment pipelines. This enables integration with external CI/CD tools like Azure Pipelines or GitHub Actions. By using the 'Deploy' API endpoint, organizations can automate their release process, ensuring that changes are moved through the lifecycle stages based on successful tests or approvals in their DevOps tooling.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✓
Use the Fabric REST API 'Deploy' endpoint for pipelines.
Why this is correct
The Fabric REST API includes specific methods for interacting with deployment pipelines, allowing developers to trigger deployments between stages. This is the standard way to integrate Fabric into a broader enterprise CI/CD workflow. It provides the flexibility to automate deployments based on external triggers, such as a successful build in Azure DevOps, improving the speed and reliability of releases.
- ✗
Write a Spark notebook that uses 'mssparkutils' to move items.
Why it's wrong here
While 'mssparkutils' is useful for file and lakehouse management, it does not have the capability to trigger workspace-level deployments or interact with the deployment pipeline service. Using a notebook for this purpose is an architectural misalignment, as notebooks are designed for data processing rather than infrastructure orchestration. The REST API is the correct tool for lifecycle automation.
- ✗
Manually click the 'Deploy' button in the Fabric portal for every release.
Why it's wrong here
Manual deployment is not an automated approach and fails to meet the requirement for a CI/CD pipeline integration. It is prone to human error, lacks auditability within the DevOps toolchain, and does not scale well for large teams with frequent updates. Automation is key to achieving the consistency and speed required in modern data engineering practices.
- ✗
Configure a 'Data Factory' pipeline with a 'Copy' activity to move metadata.
Why it's wrong here
Data Factory pipelines are intended for moving and transforming data, not for deploying workspace items or managing the Fabric lifecycle. Metadata for Fabric items is not stored in a way that a standard Copy activity can move it between stages to effect a deployment. This approach would result in data movement rather than the promotion of analytical artifacts.
Visual reference
About these practice questions
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JA
Written and reviewed by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
Last reviewed September 2026 · checked against the official Microsoft exam blueprint
This DP-700 practice question is part of Courseiva's free Microsoft certification practice question bank. Courseiva provides original exam-style practice questions with explanations, topic-based practice, mock exams, readiness tracking, and study analytics to help learners prepare for the DP-700 exam.