A team has a single bundle repository with a databricks.yml file. They need to deploy the same job definition to a dev workspace with a small cluster and to a production workspace with a larger cluster. The job logic and notebook paths are identical. How should they structure the bundle configuration to avoid duplicating the job definition?

Define the job in the dev target and reference it from the production target using a relative path

Use a single target named 'default' and change the cluster size manually before each deployment

Create two separate databricks.yml files, one for each workspace, with the job defined in each

Define the job once under resources and use target-specific variables for cluster size and workspace details

A team has a bundle that they have been deploying to a dev workspace. They now want to remove all resources that were deployed by the bundle from the dev workspace. Which command should they use?

databricks bundle destroy --target dev

databricks bundle validate --target dev

databricks bundle run --target dev --cleanup

databricks bundle deploy --target dev --force

A data engineering team wants to adopt Infrastructure-as-Code for their Databricks environment. They currently manage jobs, notebooks, and Delta Live Tables pipelines through the UI and ad-hoc scripts. They need a declarative approach that can be version-controlled, reviewed in pull requests, and deployed consistently across dev, staging, and production workspaces. Which approach should they use?

A shared notebook that contains all job definitions and is run manually in each workspace

Databricks Asset Bundles with a databricks.yml file defining targets and resources

A Python script that calls the Databricks REST API to create jobs and pipelines

Databricks Repos synced to a Git repository, with jobs created from notebook paths

What is the purpose of the 'databricks bundle destroy' command?

To delete the local bundle configuration files

To remove the bundle from the Git repository

To delete the resources that were deployed from the bundle in the target environment

To stop any running jobs associated with the bundle

DatabricksCertified Data Engineer Professional

Domain 9Objective 2

Deploying CI/CD DATA-ENGINEER-PROFESSIONAL Practice Questions (Page 5)

Part of the Debugging and Deploying domain, which accounts for 10% of the DATA-ENGINEER-PROFESSIONAL exam. Databricks does not publish an official question count, but from its 120-minute exam (~50–80 total, ~5–8 in this domain), expect 3–4 from this objective — we provide 25 practice questions to prepare you well beyond it. (estimate)

25questions here

5free pages

7concepts

10%of the exam

Questions 21–25

21application · medium
A team has a single bundle repository with a databricks.yml file. They need to deploy the same job definition to a dev workspace with a small cluster and to a production workspace with a larger cluster. The job logic and notebook paths are identical. How should they structure the bundle configuration to avoid duplicating the job definition?
Select an answer first
22application · easy
A team has a bundle that they have been deploying to a dev workspace. They now want to remove all resources that were deployed by the bundle from the dev workspace. Which command should they use?
Select an answer first
23application · medium
A data engineering team wants to adopt Infrastructure-as-Code for their Databricks environment. They currently manage jobs, notebooks, and Delta Live Tables pipelines through the UI and ad-hoc scripts. They need a declarative approach that can be version-controlled, reviewed in pull requests, and deployed consistently across dev, staging, and production workspaces. Which approach should they use?
Select an answer first
24foundation · easy
What is the purpose of the 'databricks bundle destroy' command?
Select an answer first
25foundation · easy
Which CLI command is used to deploy the resources defined in a Databricks Asset Bundle to a target environment?
Select an answer first

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Deploying CI/CD DATA-ENGINEER-PROFESSIONAL Practice Questions (Page 5)

Questions 21–25

A team has a bundle that they have been deploying to a dev workspace. They now want to remove all resources that were deployed by the bundle from the dev workspace. Which command should they use?

What is the purpose of the 'databricks bundle destroy' command?

Which CLI command is used to deploy the resources defined in a Databricks Asset Bundle to a target environment?

Keep studying — Debugging and Deploying