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dbt Labs dbt-Analytics-Engineering Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| dbt Fundamentals | 15% | - dbt workflow and best practices - dbt project structure - dbt Core vs dbt Cloud |
| Testing and Documentation | 20% | - Custom data tests - dbt docs and DAG visualization - Schema tests (unique, not_null, accepted_values, relationships) - Documentation generation |
| Data Transformation Techniques | 25% | - Macros and packages - Common table expressions and subqueries - Jinja templating - Refactoring and incremental models |
| Deployment and Orchestration | 15% | - CI/CD with dbt Cloud - Environments (dev, staging, prod) - Git version control integration - Jobs and scheduling in dbt Cloud |
| Models | 25% | - Writing and managing SQL models - Snapshots - Seeds - Sources and references - Materializations (table, view, ephemeral, incremental) |
dbt Labs dbt Analytics Engineering Certification Sample Questions:
You need to override a source description at the model level. How would you achieve this most effectively?
- A. Utilize a Jinja macro to dynamically construct the description based on specific conditions.
- B. Use the meta configuration in your model file to provide an alternative description.
- C. You cannot override a source description directly in the model.
- D. Create a separate column in the source with a model-specific description.
Correct Answer: B 🗳️
Explanation: Only visible for TestInsides members. You can sign-up / login (it's free).
A dbt deployment pipeline fails on the production environment, yet everything works as intended in development and staging. Which areas would you investigate when troubleshooting?
- A. Consider schema differences, if any between the production data warehouse and other environments.
- B. Check if all required permissions are granted to the dbt user on the production database.
- C. Verify the credentials and connection details between production and other environments in your profiles-yml.
- D. Ensure consistency of dependency versions across different environments-
Correct Answer: D 🗳️
Explanation: Only visible for TestInsides members. You can sign-up / login (it's free).
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. Table
- B. Incremental
- C. View
- D. Ephemeral
Correct Answer: A 🗳️
Explanation: Only visible for TestInsides members. You can sign-up / login (it's free).
You need to regularly run performance tests to benchmark a time-sensitive incremental model. These tests involve more complex setup than standard dbt tests. How could you efficiently integrate them into your workflow?
- A. Create a dbt operation (macro) to encapsulate the test logic and invoke it as needed.
- B. Define the performance tests as their own dbt project, triggered separately-
- C. Write the tests as generic tests and use dbt's built-in warning thresholds.
- D. Convert them into dbt seeds to easily execute them alongside model runs-
Correct Answer: A,B 🗳️
Explanation: Only visible for TestInsides members. You can sign-up / login (it's free).
You've meticulously added descriptions and tests to your dbt models. However, after running dbt docs generate, the tests don't appear in the generated documentation. Which of the following reasons are most likely?
- A. The dbt_project.yml file may not have the appropriate settings for including tests in the documentation.
- B. There is a bug in the version of dbt you're using that specifically affects test rendering in documentation.
- C. You are using a custom schema test macro that isnt configured to be included in the documentation.
- D. Your tests have incorrect syntax, and dbt is silently skipping them during documentation generation.
Correct Answer: A,C 🗳️
Explanation: Only visible for TestInsides members. You can sign-up / login (it's free).
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