Your CI/CD pipeline runs on a Linux agent that has the Databricks CLI installed. You need to deploy a Databricks Asset Bundle to production, but the pipeline must fail if the bundle configuration is invalid. Which sequence of CLI commands should you use?

`databricks bundle run --target prod` followed by `databricks bundle deploy --target prod`

`databricks bundle build --target prod` followed by `databricks bundle deploy --target prod`

`databricks bundle validate` followed by `databricks bundle deploy --target prod`

`databricks bundle deploy --target prod` only

Two data engineers are working in the same Azure Databricks repo. Engineer A modified the notebook `transformations/sales` on branch `feature-a`. Engineer B modified the same notebook on branch `feature-b`. When Engineer A opens a pull request to merge `feature-a` into main, the Git provider reports a merge conflict. What should Engineer A do first?

Ask Engineer B to close their pull request so the conflict disappears.

Rebase `feature-a` onto the latest main, resolve the conflict locally in the Git provider or IDE, and then push the resolved branch.

Delete `feature-a` and recreate it from main, then reapply the changes manually.

Use the Azure Databricks UI to resolve the conflict by editing the conflicted notebook and then commit the resolution.

Your team uses Azure Databricks Repos with Git. A data engineer has completed a feature branch and wants to integrate it into the main branch. The team requires that all changes be reviewed by at least one other engineer. What should the data engineer do?

Open a pull request from the feature branch to main and request a review from a teammate.

Merge the feature branch directly into main using the Databricks UI.

Push the feature branch to main using `git push origin feature:main`.

Ask a teammate to review the code by sharing the notebook link, then merge manually.

When using the REST API to deploy a Databricks Asset Bundle, what is typically included in the request body?

The access token and workspace URL

The cluster ID and notebook path

The list of users to grant access

The YAML configuration of the bundle

Microsoft Certified:Azure Databricks Data Engineer Associate

Domain 4Objective 3

Implement Development Lifecycle Processes in Azure Databricks DP-750 Practice Questions (Page 5)

Part of the Deploy and maintain data pipelines and workloads domain, which accounts for 30–35% of the DP-750 exam. Microsoft does not publish an official question count, but from its 120-minute exam (~50–80 total, ~15–28 in this domain), expect 4–7 from this objective — we provide 36 practice questions to prepare you well beyond it. (estimate)

36questions here

8free pages

12concepts

30–35%of the exam

Questions 21–25

21expert · hard
Your CI/CD pipeline runs on a Linux agent that has the Databricks CLI installed. You need to deploy a Databricks Asset Bundle to production, but the pipeline must fail if the bundle configuration is invalid. Which sequence of CLI commands should you use?
Select an answer first
22application · medium
Two data engineers are working in the same Azure Databricks repo. Engineer A modified the notebook `transformations/sales` on branch `feature-a`. Engineer B modified the same notebook on branch `feature-b`. When Engineer A opens a pull request to merge `feature-a` into main, the Git provider reports a merge conflict. What should Engineer A do first?
Select an answer first
23application · medium
Your team uses Azure Databricks Repos with Git. A data engineer has completed a feature branch and wants to integrate it into the main branch. The team requires that all changes be reviewed by at least one other engineer. What should the data engineer do?
Select an answer first
24foundation · easy
When using the REST API to deploy a Databricks Asset Bundle, what is typically included in the request body?
Select an answer first
25foundation · easy
Which testing level is typically performed last in a comprehensive testing strategy for a data pipeline?
Select an answer first

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Implement Development Lifecycle Processes in Azure Databricks DP-750 Practice Questions (Page 5)

Questions 21–25

Your CI/CD pipeline runs on a Linux agent that has the Databricks CLI installed. You need to deploy a Databricks Asset Bundle to production, but the pipeline must fail if the bundle configuration is invalid. Which sequence of CLI commands should you use?

Your team uses Azure Databricks Repos with Git. A data engineer has completed a feature branch and wants to integrate it into the main branch. The team requires that all changes be reviewed by at least one other engineer. What should the data engineer do?

When using the REST API to deploy a Databricks Asset Bundle, what is typically included in the request body?

Which testing level is typically performed last in a comprehensive testing strategy for a data pipeline?

Keep studying — Deploy and maintain data pipelines and workloads