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dbt Labs dbt-Analytics-Engineering Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Models | 25% | - Snapshots - Sources and references - Writing and managing SQL models - Seeds - Materializations (table, view, ephemeral, incremental) |
| Testing and Documentation | 20% | - dbt docs and DAG visualization - Custom data tests - Schema tests (unique, not_null, accepted_values, relationships) - Documentation generation |
| Deployment and Orchestration | 15% | - CI/CD with dbt Cloud - Environments (dev, staging, prod) - Git version control integration - Jobs and scheduling in dbt Cloud |
| dbt Fundamentals | 15% | - dbt project structure - dbt Core vs dbt Cloud - dbt workflow and best practices |
| Data Transformation Techniques | 25% | - Macros and packages - Jinja templating - Refactoring and incremental models - Common table expressions and subqueries |
dbt Labs dbt Analytics Engineering Certification Sample Questions:
1. You've implemented a macro to standardize descriptions across a set of models. After updating the macro and regenerating docs, the changes don't seem to be reflected. What could be the cause?
A) The macro might only be applied to specific model types.
B) Changes to macros sometimes require a full re-compilation of all models for the updates to take effect in the documentation.
C) The documentation generator is caching the old version of the macro.
D) Your macro implementation has a subtle logic error.
2. Which of the following scenarios might warrant you using the --no-compile flag with dbt docs generate? When you have syntax errors in your dbt models that would prevent compilation.
A) When you want to quickly preview documentation changes without triggering a full model build.
B) When your CI/CD pipeline requires you to generate documentation as a separate step from model compilation.
C) When you're deploying documentation updates to a production environment and want to minimize risks associated with model
D) recompilation.
3. (Multiple Select)
A) Writing custom macros to encapsulate frequently used SQL logic.
B) Nesting multiple correlated subqueries within a single query_
C) Using SELECT * to include all columns dynamically
D) Leveraging window functions to calculate values across rows or groups.
4. Your dbt project pulls data from a SaaS application using a third-party adapter. You observe performance issues. Where might you start optimizing?
A) Check your dbt_project.yml for project-level performance settings.
B) Investigate the third-party adapter's settings or documentation for potential bottlenecks.
C) Review the source definitions to see if unnecessary data is being selected.
D) Configure the source as an incremental materialization within your project file.
5. After running dbt docs generate, you notice that your project documentation looks incomplete, and certain details seem to be missing. Which of the following actions could help you troubleshoot the issue?
A) Ensure all relevant model directories are present under the top-level 'models' directory of your dbt project
B) Run the dbt clean command to clear out any outdated artifacts.
C) Check if you've unintentionally used the -select flag to limit model inclusion during a previous dbt run.
D) Verify that all your models, sources, seeds, and tests have descriptions where appropriate.
Solutions:
| Question # 1 Answer: B,C,D | Question # 2 Answer: B,C,D | Question # 3 Answer: B,C | Question # 4 Answer: B | Question # 5 Answer: A,C,D |
