A data engineering team wants to implement continuous integration for their Fabric data pipelines. They have a Git repository with the pipeline definitions. What is the first step to enable automated validation of pipeline changes?

Manually test the pipelines in the Development workspace after each merge.

Create a new workspace for each developer and never merge to main.

Deploy every commit directly to Production to test in a live environment.

Set up a CI pipeline that runs on every pull request to validate the pipeline definitions.

A team maintains a Fabric database project. They need to track which version of the schema is deployed in each environment (Development, Test, Production). What should they implement?

Use a shared document to list which version is in each environment.

Rely on the Fabric deployment pipeline's built-in version history.

Store the schema version in a table within the database itself.

Use Git tags for each release and record the deployed tag in each environment's configuration.

What is the main goal of continuous integration (CI) in the context of Fabric analytics solutions?

To deploy changes directly to production without review

To automatically build and test changes whenever code is committed

To manually review all code changes

To create backups of the data warehouse

What is the primary purpose of versioning a database project in Fabric?

To automatically generate test data

To track changes to the database schema over time

To store data backups for disaster recovery

Microsoft Certified:Fabric Data Engineer Associate

Domain 1Objective 2

Implement Lifecycle Management in Fabric DP-700 Practice Questions (Page 2)

Part of the Implement and manage an analytics solution domain, which accounts for 30–35% of the DP-700 exam. Microsoft does not publish an official question count, but from its 100-minute exam (~40–65 total, ~12–23 in this domain), expect 3–6 from this objective — we provide 39 practice questions to prepare you well beyond it. (estimate)

39questions here

8free pages

7concepts

30–35%of the exam

Questions 6–10

6application · medium
A data engineering team wants to implement continuous integration for their Fabric data pipelines. They have a Git repository with the pipeline definitions. What is the first step to enable automated validation of pipeline changes?
Select an answer first
7application · medium
A team maintains a Fabric database project. They need to track which version of the schema is deployed in each environment (Development, Test, Production). What should they implement?
Select an answer first
8foundation · easy
What is the main goal of continuous integration (CI) in the context of Fabric analytics solutions?
Select an answer first
9foundation · easy
Which of the following is a typical stage in a Fabric deployment pipeline?
Select an answer first
10foundation · easy
What is the primary purpose of versioning a database project in Fabric?
Select an answer first

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