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dbt Labs dbt-Analytics-Engineering Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Creating and Maintaining Documentation | 10% | - Documentation standards - Descriptions and metadata - Generating documentation |
| Implementing dbt Tests | 10% | - Custom tests - Test configuration and execution - Built-in tests |
| Managing Data Pipelines | 15% | - Pipeline orchestration - Deployment strategies - CI/CD integration |
| dbt Models Governance | 15% | - Version control integration - Naming conventions and standards - Project organization and structure |
| Developing dbt Models | 20% | - Model design and structure
|
| External Dependencies | 10% | - External sources integration - Using packages - Managing snapshots |
| Debugging and Error Resolution | 15% | - Resolving data quality issues - Identifying modeling errors - Debugging techniques |
| Leveraging dbt State | 5% | - State management - State-aware operations |
dbt Labs dbt Analytics Engineering Certification Sample Questions:
You discover an intermittent issue where your models sometimes produce incorrect results. After investigation, the problem seems to occur when the source data contains a particular combination of unexpected values. How would you best address this?
- A. Add pre-processing logic within the model to clean or filter out the problematic data.
- B. Raise an issue with the team responsible for the upstream data source to fix the error at its origin.
- C. Write a custom dbt test to explicitly identify the bad data scenario.
- D. Modify the model to ignore the rows causing the issue.
Correct Answer: B,C 🗳️
Explanation: Only visible for Prep4away members. You can sign-up / login (it's free).
A pull request includes changes to both dbt models and configuration files in your dbt_project.yml file. During the merge, conflicts arise in the configuration file. How would you approach resolving these conflicts?
- A. Give priority to the model changes and manually edit the configuration file after.
- B. Request a separate, smaller pull request dedicated to the configuration changes to isolate the conflict.
- C. Utilize Git's merge conflict markers to carefully combine changes in the configuration file.
- D. Ask the author of the pull request to rebase their changes and resolve the configuration conflict in their branch.
Correct Answer: B,C,D 🗳️
Explanation: Only visible for Prep4away members. You can sign-up / login (it's free).
You inherit a project with a monolithic "super-model" performing many transformations. Why might refactoring this into smaller, interconnected models be beneficial?
- A. Enables faster debugging and troubleshooting by isolating issues.
- B. All of the above.
- C. Reduces the risk of a single point of failure impacting the entire data flow.
- D. Increases potential for parallel execution within your data warehouse.
Correct Answer: B 🗳️
Explanation: Only visible for Prep4away members. You can sign-up / login (it's free).
A colleague asks, "Why do we need dbt docs when we already have good database documentation?" Provide a compelling response.
- A. dbt docs automatically tracks model testing results.
- B. dbt docs is mandatory for version control with dbt projects.
- C. dbt docs primarily serves as a replacement for dbt seed.
- D. dbt docs generates dynamic documentation that directly reflects your project's dependencies and current state.
Correct Answer: D 🗳️
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You need to run a dbt job that performs a long-running data cleansing operation. The job occasionally times out. Which of the following are potential solutions?
- A. Increase the timeout setting in your CI/CD tool or dbt job configuration.
- B. Use a dbt macro to retry the cleansing operation with a backoff strategy within the model itself-
- C. Schedule the job to run concurrently with other dbt models to maximize resource usage-
- D. Break the cleansing logic into multiple models, chaining them with dependencies-
Correct Answer: A,B,D 🗳️
Explanation: Only visible for Prep4away members. You can sign-up / login (it's free).
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