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dbt Labs dbt-Analytics-Engineering Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Creating and Maintaining Documentation | 10% | - Generating documentation - Documentation standards - Descriptions and metadata |
| Implementing dbt Tests | 10% | - Custom tests - Built-in tests - Test configuration and execution |
| Debugging and Error Resolution | 15% | - Resolving data quality issues - Debugging techniques - Identifying modeling errors |
| External Dependencies | 10% | - Using packages - External sources integration - Managing snapshots |
| Developing dbt Models | 20% | - Model optimization
|
| dbt Models Governance | 15% | - Naming conventions and standards - Version control integration - Project organization and structure |
| Managing Data Pipelines | 15% | - Deployment strategies - CI/CD integration - Pipeline orchestration |
| Leveraging dbt State | 5% | - State management - State-aware operations |
dbt Labs dbt Analytics Engineering Certification Sample Questions:
1. You want to automatically deploy updates to your documentation site hosted on a cloud service whenever changes to your dbt project are committed to your main branch. Which of the following is essential for this setup?
A) Configuring dbt Cloud to trigger documentation deploys.
B) Enabling webhooks in your Git repository provider.
C) Implementing a CI/CD pipeline that includes dbt build steps.
D) Write a custom script to check for project changes and handle deployment.
2. Which of the following scenarios might warrant a git rebase instead of a standard git merge when integrating your changes into the main branch?
A) Your branch has diverged significantly from the main branch with unrelated changes.
B) You need to resolve complex merge conflicts that arise during a standard merge.
C) You only want to include a subset of your feature branch commits in the main branch.
D) You want to avoid a merge commit and keep a linear project history.
3. A performance-critical model depends on multiple complex transformations that would benefit from being pre-computed. Direct querying of this model should be as fast as possible. Which materialization is likely the best choice?
A) Ephemeral
B) View
C) Table
D) Incremental
4. A teammate opens a pull request with numerous changes across many files. To help with the review process, you would suggest that they:
A) Resubmit the pull request as several smaller, more focused pull requests.
B) Provide a comprehensive summary of the intent and scope of the changes within the pull request description.
C) Use detailed commit messages to explain the rationale behind each set of related changes.
D) All of the above.
5. (Multiple Select)
A) Apply an incremental materialization strategy to subsequent models if appropriate.
B) Increase the query_comment timeout setting in your dbt_project. yml
C) Use CTEs or views in the source definition to pre-filter columns or apply initial transformations.
D) Introduce a source snapshot to create a point-in-time copy of the data.
Solutions:
| Question # 1 Answer: B,C,D | Question # 2 Answer: A,D | Question # 3 Answer: C | Question # 4 Answer: B | Question # 5 Answer: A,C |

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