20+ practice questions focused on Implementing CI/CD — one of the most tested topics on the Databricks Certified Data Engineer Associate exam. Each question includes a detailed explanation so you learn why the right answer is correct.
Start Implementing CI/CD PracticeRefer to the exhibit. The JSON represents a Databricks Job configuration. To implement this as part of a CI/CD pipeline, which approach ensures the job is created with the exact specifications provided?
Explanation: The command 'databricks jobs create --json-file job.json' is deprecated in the current Databricks CLI (v0.200+). The modern syntax is 'databricks jobs create --json @job.json'.
A data engineering team uses Databricks Repos linked to a remote Git repository. They want to run automated unit tests against the notebook code in a CI pipeline without deploying to a production workspace. Which approach should they use?
Explanation: Unit tests should run in the CI environment without requiring a Databricks workspace or production resources. Because Databricks Repos syncs notebooks as source files, the CI runner can clone the repository and execute tests locally. This provides fast, isolated feedback and prevents defective code from being merged or deployed.
A team is implementing a CI/CD pipeline for Databricks using Databricks Asset Bundles (DABs). They want to ensure that the deployment is idempotent and can be rolled back if needed. Which TWO practices should they follow? (Choose two.)
Explanation: Storing the bundle configuration in Git with version tags ensures that each deployment is tied to a specific, reproducible version, enabling rollback. Running databricks bundle validate before deployment catches errors early, preventing failed deployments and ensuring that the deployment is applied correctly. Together, these practices support idempotent and rollback-capable CI/CD.
A team is implementing CI/CD for a Databricks job that uses a Python wheel task. They want to ensure that the wheel is built and deployed correctly. Which TWO practices should they follow? (Choose two.)
Explanation: For a Python wheel task, the wheel must be built in CI and made available to the Databricks job. The standard practice is to build the wheel, upload it to a persistent location like DBFS or cloud storage using the Databricks CLI, and then update the job definition to reference the new wheel. This ensures the job uses the correct version and supports repeatable deployments.
A data engineer runs `databricks bundle validate` locally and it succeeds, but the CI pipeline fails at the `databricks bundle deploy -t prod` step with an error that the target 'prod' is not defined. The engineer is certain the target exists in the bundle. What is the most likely cause?
Explanation: The bundle CLI resolves databricks.yml relative to the current working directory (or an explicit path). When CI checks out the repo and runs from the repository root but the bundle lives in a subdirectory, the CLI reads no bundle file and therefore cannot find any target. Running the deploy step from the bundle root, or using the CLI's bundle path option, resolves the failure.
+15 more Implementing CI/CD questions available
Practice all Implementing CI/CD questions1. Baseline your knowledge
Start with 10 questions to gauge your current understanding of Implementing CI/CD. This tells you whether you need a concept refresher or just practice.
2. Review every explanation
For each question — right or wrong — read the full explanation. Understanding why an answer is correct is more valuable than knowing the answer itself.
3. Focus on exam traps
Implementing CI/CD questions on the Databricks-DE-Assoc frequently use trap wording. Look for subtle differences in answers that test your precision, not just general knowledge.
4. Reach 80% consistently
Do repeated sessions until you score 80%+ three times in a row. Then move to mixed-mode practice to test cross-topic recall under realistic conditions.
The exact number varies per candidate. Implementing CI/CD is tested as part of the Databricks Certified Data Engineer Associate blueprint. Practicing with targeted Implementing CI/CD questions ensures you can handle any format or difficulty that appears.
Yes. Courseiva provides free Databricks-DE-Assoc practice questions across all exam topics and domains. The platform includes topic-based practice, mock exams, missed-question review, bookmarked questions, and readiness tracking — no account required.
Difficulty is subjective, but Implementing CI/CD is a high-priority exam concept tested in multiple ways — direct recall, scenario analysis, and command-output interpretation. Consistent practice is the best way to build confidence.
Launch a full Implementing CI/CD practice session with instant scoring and detailed explanations.
Start Implementing CI/CD Practice →