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dbt Labs dbt-Analytics-Engineering Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: External Dependencies | 10% | - Using packages - External sources integration - Managing snapshots |
| Topic 2: Managing Data Pipelines | 15% | - CI/CD integration - Pipeline orchestration - Deployment strategies |
| Topic 3: Leveraging dbt State | 5% | - State management - State-aware operations |
| Topic 4: dbt Models Governance | 15% | - Naming conventions and standards - Project organization and structure - Version control integration |
| Topic 5: Developing dbt Models | 20% | - Model optimization
|
| Topic 6: Debugging and Error Resolution | 15% | - Identifying modeling errors - Debugging techniques - Resolving data quality issues |
| Topic 7: Implementing dbt Tests | 10% | - Built-in tests - Test configuration and execution - Custom tests |
| Topic 8: Creating and Maintaining Documentation | 10% | - Descriptions and metadata - Documentation standards - Generating documentation |
dbt Labs dbt Analytics Engineering Certification Sample Questions:
Several models perform similar filtering and aggregation on a frequently used source table. What's the most effective way to streamline this process and improve maintainability?
- A. Create a table materialization to hold the pre-processed data.
- B. Create a snapshot to capture the pre-processed state of the source table.
- C. Create an ephemeral model to prepare the data in a common format, referenced by downstream models.
- D. Replicate the filtering and aggregation logic directly within each model.
Correct Answer: C 🗳️
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You need to run a custom Python script after your dbt models execute. Where and how can you configure this in your dbt_project.yml file?
- A. Create an 'integration test' and use the PythonFunction class-
- B. Define it as a 'snapshot' to ensure it runs after all models.
- C. Include the script as a 'seed' file with a specific execution order
- D. Utilize the on-run-end hook configuration.
Correct Answer: D 🗳️
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You want to host your dbt project documentation on an internal company server that's behind a firewall. Which approach would be best suited for this scenario?
- A. Utilize the dbt docs serve command, making the local web server accessible within your private network.
- B. Deploy the docs using dbt Cloud's built-in hosting features.
- C. Upload the static files generated by dbt docs generate to your internal web server.
- D. Directly modify the HTML and CSS of the generated documentation site to add firewall-specific rules.
Correct Answer: C 🗳️
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You're implementing singular tests (accepted values). After providing a list of valid values, you notice some strange behavior: the test is passing even with records that contain unexpected dat a. What's the most likely issue?
- A. A downstream process is overwriting the results after the model is built.
- B. The accepted_values test configuration has the wrong column specified.
- C. Your test case is accidentally permitting null values, which bypass the check.
- D. The model's data type isn't compatible with the accepted_values test.
Correct Answer: B,C,D 🗳️
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You're building tests for a dbt model that performs a join across multiple large datasets. You notice performance issues - tests are taking a very long time to run. What might be optimization strategies?
- A. Focus on tests that can validate a subset of the data rather than the entire dataset.
- B. Create snapshots of the source tables and test on those snapshots instead.
- C. Accept that tests on complex models will always be slow.
- D. Refactor model SQL to use incremental logic to avoid full table scans.
Correct Answer: A,D 🗳️
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