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dbt Labs dbt-Analytics-Engineering Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Deployment and Orchestration | 15% | - Jobs and scheduling in dbt Cloud - CI/CD with dbt Cloud - Git version control integration - Environments (dev, staging, prod) |
| Topic 2: Testing and Documentation | 20% | - Schema tests (unique, not_null, accepted_values, relationships) - Documentation generation - dbt docs and DAG visualization - Custom data tests |
| Topic 3: Models | 25% | - Writing and managing SQL models - Seeds - Sources and references - Materializations (table, view, ephemeral, incremental) - Snapshots |
| Topic 4: Data Transformation Techniques | 25% | - Macros and packages - Common table expressions and subqueries - Jinja templating - Refactoring and incremental models |
| Topic 5: dbt Fundamentals | 15% | - dbt Core vs dbt Cloud - dbt project structure - dbt workflow and best practices |
dbt Labs dbt Analytics Engineering Certification Sample Questions:
1. Code Review
A) Additional schema tests on the model to prevent similar issues from recurring.
B) A second reviewer assigned specifically to assess the potential side effects of the fix.
C) An updated lineage graph produced by dbt docs generate to visualize the fix's impact on dependencies.
D) An explanation of the error's root cause and the reasoning behind your chosen solution.
2. (Multiple Select)
A) Add -full-refresh flag to dbt run to ensure all models are rebuilt from scratch.
B) Run dbt docs generate and dbt docs serve to inspect the lineage graph.
C) IJse the -select flag with dbt run to execute models incrementally, starting with the most upstream dependency.
D) Write custom macros to log intermediate data for each model.
3. You're setting up a dbt project with a model that generates a large intermediate result. You're concerned about performance. Which approaches could be helpful?
A) Schedule the model to run only during off-peak hours.
B) Use a staging schema for the intermediate model and adjust the job's materialization settings.
C) Investigate database-specific features (e.g., temporary tables ) and refactor dbt logic to leverage them.
D) Deploy the dbt project to a smaller development environment to reduce processing overhead
4. You've just added some schema tests to a critical model. Which command should you execute to ensure these new tests are run?
A) dbt run
B) dbt test
C) dbt compile
D) dbt seed
5. The dataset raw user activity is critical to several models. You've been informed that a major schema change is scheduled for this source. Select the best way to proactively mitigate the potential impact of this change on your dbt project.
A) Create custom data tests that validate the critical columns in raw_user_activity.
B) Communicate with the relevant data team to create a temporary staging table mirroring the old schema.
C) Run dbt test after the schema changes and address any failures.
D) Pause all dbt jobs until the schema change risk is fully assessed.
Solutions:
| Question # 1 Answer: D | Question # 2 Answer: B,C | Question # 3 Answer: B,C | Question # 4 Answer: B | Question # 5 Answer: A |
