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dbt Labs dbt-Analytics-Engineering Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Leveraging dbt State | 5% | - State-aware operations - State management |
| Topic 2: Managing Data Pipelines | 15% | - Pipeline orchestration - Deployment strategies - CI/CD integration |
| Topic 3: Debugging and Error Resolution | 15% | - Debugging techniques - Identifying modeling errors - Resolving data quality issues |
| Topic 4: Developing dbt Models | 20% | - Model design and structure
|
| Topic 5: Creating and Maintaining Documentation | 10% | - Documentation standards - Generating documentation - Descriptions and metadata |
| Topic 6: dbt Models Governance | 15% | - Project organization and structure - Version control integration - Naming conventions and standards |
| Topic 7: External Dependencies | 10% | - Using packages - Managing snapshots - External sources integration |
| Topic 8: Implementing dbt Tests | 10% | - Built-in tests - Test configuration and execution - Custom tests |
dbt Labs dbt Analytics Engineering Certification Sample Questions:
1. (Multiple Select)
A) Defining generic tests that apply to multiple data sources.
B) Inserting large volumes of historical transactional data for backfilling purposes.
C) Loading configuration data for production environments that differs from development settings.
D) Populating a lookup table with country codes.
2. You want to standardize descriptions across a large number of models that share the same underlying source schemas. Which approach might be the most efficient?
A) Manually copy and paste the descriptions into each model's YAML file.
B) Focus on using a version control system and enforce descriptions directly within the source system.
C) Create a CSV lookup file and maintain custom source descriptions within the file.
D) Write a Jinja macro that dynamically generates descriptions based on metadata.
3. You're working in a highly regulated environment. Merges into the main branch require multiple approvals. Which additional steps might need to be incorporated into your merge process?
A) All of the above
B) Use a protected branch workflow on the remote repository with required reviews.
C) Utilize signed commits to add a layer of traceability and verification-
D) Link pull requests to detailed change documentation and impact analysis.
4. You notice that your dbt jobs take longer than expected. You suspect potential issues with models referencing large raw tables unnecessarily. Which of the following strategies might help optimize performance? (Choose two)
A) Convert your most-used models to incremental materializations.
B) Introduce CTEs within your models to pre-filter raw data where possible.
C) Move the raw table into a separate staging schema and grant access only to necessary models.
D) Add more indexes to all the raw tables in your warehouse.
5. dbt Model Snippet:SQL
A) Checking that the date_part() function is compatible with your database-
B) Validating that the column names generated by the Jinja loop would be valid SQL identifiers.
C) Ensuring the grains variable is defined in dbt_project.yml or a macro.
D) Making sure the source table fct_orders contains the expected columns.
Solutions:
| Question # 1 Answer: C,D | Question # 2 Answer: D | Question # 3 Answer: A | Question # 4 Answer: A,B | Question # 5 Answer: C |




