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dbt Labs dbt-Analytics-Engineering Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Data Transformation Techniques | 25% | - Common table expressions and subqueries - Jinja templating - Macros and packages - Refactoring and incremental models |
| dbt Fundamentals | 15% | - dbt workflow and best practices - dbt project structure - dbt Core vs dbt Cloud |
| Deployment and Orchestration | 15% | - Git version control integration - Environments (dev, staging, prod) - Jobs and scheduling in dbt Cloud - CI/CD with dbt Cloud |
| Models | 25% | - Writing and managing SQL models - Sources and references - Seeds - Snapshots - Materializations (table, view, ephemeral, incremental) |
| Testing and Documentation | 20% | - Custom data tests - Schema tests (unique, not_null, accepted_values, relationships) - dbt docs and DAG visualization - Documentation generation |
dbt Labs dbt Analytics Engineering Certification Sample Questions:
A new stakeholder needs to receive an email report generated from the results of a specific dbt model. Unfortunately, your Bl tool doesn't directly integrate with dbt. How could you address this?
- A. Within the model's SQLi write logic to insert the output data into a dedicated reporting table-
- B. Develop a separate script, triggered after the dbt job, to handle report generation and emailing-
- C. Modify the model to output a CSV file and schedule a task to email the file as an attachment
- D. Write a post-hook that queries the model, formats the results, and sends the email.
Correct Answer: A,B,D 🗳️
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You have a dbt model that performs complex aggregations. During development, you notice some models take excessively long to run, but they ultimately complete without errors. Which of the following might be true?
- A. This behavior automatically triggers an optimization feature within dbt.
- B. These models likely have issues with joins or CTE structure impacting performance.
- C. Downstream models will inherit the performance issues.
- D. The models are at risk of failing if the source data grows substantially.
Correct Answer: B,D 🗳️
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(Multiple Select)
- A. Utilize a YAML validator tool independently of dbt to check for general formatting errors.
- B. If available, compare your schema.yml to a previous working version to spot problematic changes.
- C. Refer to the dbt documentation for a comprehensive list of valid properties within schema files.
- D. Introduce a global persist_docs setting within your dbt_project.yml file to resolve schema inconsistencies.
Correct Answer: A,C 🗳️
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A model passes its tests during development, but later fails when deployed on a less powerful production database. Which of the following might be the reason for this discrepancy?
- A. The test was accidentally disabled in the production dbt project.
- B. Source data distributions differ significantly between environments.
- C. There's a bug in the version of dbt that runs in production.
- D. Performance-related test thresholds are too lenient in development.
Correct Answer: B,D 🗳️
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Code Review
- A. Additional schema tests on the model to prevent similar issues from recurring.
- B. An updated lineage graph produced by dbt docs generate to visualize the fix's impact on dependencies.
- C. A second reviewer assigned specifically to assess the potential side effects of the fix.
- D. An explanation of the error's root cause and the reasoning behind your chosen solution.
Correct Answer: D 🗳️
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