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dbt Labs dbt-Analytics-Engineering Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Deployment and Orchestration | 15% | - CI/CD with dbt Cloud - Git version control integration - Jobs and scheduling in dbt Cloud - Environments (dev, staging, prod) |
| Topic 2: Models | 25% | - Writing and managing SQL models - Snapshots - Materializations (table, view, ephemeral, incremental) - Seeds - Sources and references |
| Topic 3: dbt Fundamentals | 15% | - dbt Core vs dbt Cloud - dbt workflow and best practices - dbt project structure |
| Topic 4: Data Transformation Techniques | 25% | - Refactoring and incremental models - Macros and packages - Jinja templating - Common table expressions and subqueries |
| Topic 5: Testing and Documentation | 20% | - Documentation generation - Schema tests (unique, not_null, accepted_values, relationships) - dbt docs and DAG visualization - Custom data tests |
dbt Labs dbt Analytics Engineering Certification Sample Questions:
1. (Multiple Select)
A) If macros reference raw tables, those dependencies might not be reflected in dbt's lineage graphs.
B) Macros can completely obfuscate dependencies, making them untraceable.
C) If macros themselves have dependencies on other macros, this adds an extra layer to consider.
D) Macros generally make dependency tracking easier by encapsulating logic.
2. A team member has opened a pull request, but conflicts arise when you attempt to merge it. Which of the following are essential steps in the conflict resolution process?
A) Utilize Git's built-in merge conflict markers to identify areas of disagreement
B) Manually edit the affected files in your favorite text editor to resolve the differences.
C) Communicate with your team member to understand the intent behind the conflicting changes.
D) All of the above.
3. You're setting up a CI/CD pipeline for dbt deployments. Which actions can help maintain data integrity and consistency between your development, staging, and production environments?
A) Enforce a branching strategy that mirrors environment progression (e.g., dev branch deploys to dev, etc. )
B) Implement automated tests that validate data quality and model assumptions across all environments.
C) Utilize dbt logs and artifacts to track any changes made outside the standard deployment pipeline in each environment.
D) All of the above.
4. You're refactoring a dbt project with circular dependencies (e.g., Model A references Model B, which references Model A).
Select the most appropriate strategy:
A) Rewrite SQL logic to remove the circular references.
B) Create snapshots to break the dependency chain.
C) Add the -full-refresh flag to dbt run to force execution.
D) Introduce a redundant intermediate model to resolve the circularity.
5. You frequently need to debug model failures mid-DAG during development. Which of the following dbt features would be MOST helpful in this scenario?
A) Macros for modularizing SQL code
B) dbt snapshots
C) The dbt run -fail-fast flag
D) The dbt test command
Solutions:
| Question # 1 Answer: A,C | Question # 2 Answer: D | Question # 3 Answer: D | Question # 4 Answer: A | Question # 5 Answer: C |
