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dbt Labs dbt-Analytics-Engineering Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Topic 1: dbt Core Concepts | - Models and materializations
|
| Topic 2: Testing and Data Quality | - Built-in and custom tests
|
| Topic 3: Deployment and Orchestration | - Running dbt in production
|
| Topic 4: Documentation and Lineage | - dbt documentation system
|
| Topic 5: Analytics Engineering Foundations | - Modern data stack concepts (ELT vs ETL)
|
dbt Labs dbt Analytics Engineering Certification Sample Questions:
Question 1
You want to use a YAML anchor to reuse a standard block of descriptive text within multiple models. How would you implement this?
A. YAML anchors are not directly supported in the context of dbt model and source descriptions-
B. Insert a YAML anchor (&) in your dbt_projectyml file and reference it in your model files.
C. Create a YAML anchor within the relevant model file where the text should be reused.
D. Define a Jinja macro for the text block, and then call the macro within your descriptions.
Question 2
(Multiple Select)
A. Inserting large volumes of historical transactional data for backfilling purposes.
B. Populating a lookup table with country codes.
C. Loading configuration data for production environments that differs from development settings.
D. Defining generic tests that apply to multiple data sources.
Question 3
(Multiple Select)
A. Changes in the structure or content of the baseline dataset itself.
B. Natural drift in the distribution of real-world data compared to the static baseline.
C. A change in database vendor for your data warehouse.
D. Changes in business logic lead to intentional deviations from the baseline.
Question 4
(Multiple Select)
A. The technology used for your production data warehouse.
B. The cost-efficiency of the development environment solution.
C. The overall size and complexity of your dbt project
D. The need for feature parity (functions, syntax) with the production warehouse.
Question 5
While onboarding a new team member, you need to ensure consistency between their local development setup and your existing production dbt deployment. Which of these are essential?
A. All of the above.
B. Providing clear documentation on configuration of profiles_yml to connect to the correct targets.
C. Setting up access and permissions in the data warehouse for the new user, aligning with your team's security practices.
D. Enforcing version control and utilizing a requirements txt file to pin dbt and adapter dependencies.
Solutions:
| Question 1 Answer: C | Question 2 Answer: B,C | Question 3 Answer: A,B,D | Question 4 Answer: A,B,D | Question 5 Answer: A |






