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dbt Labs dbt-Analytics-Engineering Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Debugging and Error Resolution | 15% | - Resolving data quality issues - Debugging techniques - Identifying modeling errors |
| Topic 2: dbt Models Governance | 15% | - Project organization and structure - Naming conventions and standards - Version control integration |
| Topic 3: Creating and Maintaining Documentation | 10% | - Generating documentation - Documentation standards - Descriptions and metadata |
| Topic 4: Developing dbt Models | 20% | - Model optimization
|
| Topic 5: External Dependencies | 10% | - External sources integration - Using packages - Managing snapshots |
| Topic 6: Leveraging dbt State | 5% | - State-aware operations - State management |
| Topic 7: Implementing dbt Tests | 10% | - Test configuration and execution - Custom tests - Built-in tests |
| Topic 8: Managing Data Pipelines | 15% | - Deployment strategies - Pipeline orchestration - CI/CD integration |
dbt Labs dbt Analytics Engineering Certification Sample Questions:
Question 1
Your dbt models create tables, but you notice a consistent "_dbt" suffix appended to all table names. Where does this likely originate from, and how could you modify it?
A. There's likely a custom macro in your codebase adding the suffix
B. This behavior is configurable in your dbt_projectyml settings related to model schemas.
C. Its a default behavior of dbt to help distinguish model names from pre-existing tables.
D. It's a naming convention enforced by the database engine, not directly controlled by dbt
Question 2
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. Write a custom script to check for project changes and handle deployment.
B. Configuring dbt Cloud to trigger documentation deploys.
C. Implementing a CI/CD pipeline that includes dbt build steps.
D. Enabling webhooks in your Git repository provider.
Question 3
You've introduced a new series of dbt models and want to run them in isolation to verify results before integrating them into the main build process. Which dbt command options and flags are likely to be useful?
A. dbt run -m +model_path to explicitly select a model by its file path.
B. dbt test --select source name to validate the new models' source data.
C. dbt build -exclude model_name to temporarily skip certain models.
D. dbt run -s to target models with a specific tag
Question 4
A newly-hired analyst needs to update a downstream model that depends on a chain of intermediate models. To minimize the potential for disruption, how can modularity help them?
A. Incremental materializations will help verify that the changes are successful.
B. With clear dependencies, they can pinpoint which upstream models to test.
C. Snapshots ensure that historical data won't be impacted unintentionally.
D. By using macros, modifications are limited to a single location.
Question 5
(Multiple Select)
A. Preferring long, monolithic SQL files with minimal CTEs.
B. Using clear and consistent naming conventions across models and macros.
C. Encapsulating complex logic in well-named macros with descriptive comments.
D. Minimizing explicit model dependencies to create loosely coupled components.
Solutions:
| Question 1 Answer: A,B,C | Question 2 Answer: A,C,D | Question 3 Answer: A,D | Question 4 Answer: B | Question 5 Answer: B,C |
