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dbt Labs dbt-Analytics-Engineering Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Testing and Documentation | 20% | - Custom data tests - Documentation generation - Schema tests (unique, not_null, accepted_values, relationships) - dbt docs and DAG visualization |
| Models | 25% | - Seeds - Snapshots - Materializations (table, view, ephemeral, incremental) - Sources and references - Writing and managing SQL models |
| Data Transformation Techniques | 25% | - Common table expressions and subqueries - Refactoring and incremental models - Macros and packages - Jinja templating |
| dbt Fundamentals | 15% | - dbt Core vs dbt Cloud - dbt workflow and best practices - dbt project structure |
| Deployment and Orchestration | 15% | - Environments (dev, staging, prod) - Git version control integration - CI/CD with dbt Cloud - Jobs and scheduling in dbt Cloud |
dbt Labs dbt Analytics Engineering Certification Sample Questions:
Question 1
After configuring a dbt package, you notice its models depend on a source table absent from your warehouse. How do you typically address this?
A. Rewrite the package's model from scratch within your project to remove the dependency.
B. Update your source definitions to include the required table.
C. Override the package model's SQL query to reference an existing table in your warehouse.
D. File an issue or submit a pull request to the package's repository.
Question 2
You write a macro to dynamically create a filter string and apply it within a model as follows:SQL
A. The macro templating incorrectly nests single and double quotes.
B. The generate_filter macro should be placed within a separate macros directory, not inline in the model.
C. You cannot dynamically apply filters using Jinja; they must be hardcoded in your model's SQL.
D. The database doesn't support comparison of the data type of the region column with a string value.
Question 3
you're working with a dbt project where a central model fct_orders is refactored. Several downstream models rely on this fact table. Which of the following is the MOST efficient way to determine which downstream models might be affected by this change?
A. Use the dbt Is command to generate a lineage graph.
B. Run dbt test to see which tests might fail.
C. Execute dbt run and observe for errors.
D. Manually review the code of all downstream models.
E. Utilize the dbt docs generate and dbt docs serve commands.
Question 4
(Multiple Select)
A. Implementing more rigorous access controls and auditing procedures.
B. Potentially running on a different data warehouse or with different database settings.
C. Using credentials with appropriate permissions (likely read-only) to access production data sources.
D. Scheduling models to run outside normal business hours to reduce resource contention.
Question 5
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. Utilize signed commits to add a layer of traceability and verification-
B. All of the above
C. Link pull requests to detailed change documentation and impact analysis.
D. Use a protected branch workflow on the remote repository with required reviews.
Solutions:
| Question 1 Answer: C | Question 2 Answer: A | Question 3 Answer: E | Question 4 Answer: A,B,C | Question 5 Answer: B |

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