Learn with dbt Labs : dbt-Analytics-Engineering training material for 100% pass
Updated: Sep 09, 2026
No. of Questions: 359 Questions & Answers with Testing Engine
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dbt Labs dbt-Analytics-Engineering Exam Overview:
| Certification Vendor: | dbt Labs |
|---|---|
| Exam Name: | dbt Analytics Engineering Certification Exam |
| Exam Number: | dbt-analytics-engineering-certification |
| Exam Format: | Multiple select, Multiple choice |
| Available Languages: | English |
| Certificate Validity Period: | 2 years |
| Passing Score: | Not publicly disclosed |
| Exam Price: | $100 USD (varies by region) |
| Exam Duration: | 120 minutes |
| Real Exam Qty: | Not publicly disclosed (commonly reported ~60–70 questions) |
| Recommended Training: | dbt Learn dbt Documentation |
| Exam Registration: | dbt Certification Portal dbt Labs official site |
| Sample Questions: | dbt Labs dbt-Analytics-Engineering Sample Questions |
| Exam Way: | Online proctored exam (via dbt Labs certification platform / authorized proctoring provider) |
| Pre Condition: | No formal prerequisites required; strong SQL and data modeling knowledge recommended |
| Official Syllabus URL: | https://www.getdbt.com/certification |
dbt Labs dbt-Analytics-Engineering Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| dbt Core Concepts | - Project structure and configuration
|
| Documentation and Lineage | - Data lineage understanding
|
| Testing and Data Quality | - Data validation strategies
|
| Analytics Engineering Foundations | - SQL proficiency for analytics
|
| Deployment and Orchestration | - Environments and workflows
|
dbt Labs dbt Analytics Engineering Certification Sample Questions:
(Multiple Select)
- A. Availability of specific dbt packages used in your project.
- B. The specific SQL dialect used when generating model code.
- C. The target database schema where models are materialized.
- D. Credentials used to authenticate to the data warehouse.
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You want to use a YAML anchor to reuse a standard block of descriptive text within multiple models. How would you implement this?
- A. Insert a YAML anchor (&) in your dbt_projectyml file and reference it in your model files.
- B. Create a YAML anchor within the relevant model file where the text should be reused.
- C. Define a Jinja macro for the text block, and then call the macro within your descriptions.
- D. YAML anchors are not directly supported in the context of dbt model and source descriptions-
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A teammate opens a pull request with numerous changes across many files. To help with the review process, you would suggest that they:
- A. Use detailed commit messages to explain the rationale behind each set of related changes.
- B. Resubmit the pull request as several smaller, more focused pull requests.
- C. All of the above.
- D. Provide a comprehensive summary of the intent and scope of the changes within the pull request description.
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You get a compilation error: "Configuration key 'enabled' not found". Where in your dbt_project.yml would you start looking to fix this, and why?
- A. Within the models section, as models often use the enabled property.
- B. Under a specific source definition, as sources can also sometimes be conditionally enabled.
- C. In a seeds.yml file or the seeds section, where enabled is a valid property.
- D. In the top-level profiles.yml, as the enabled key is specific to setting up project profiles.
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External Dependency
- A. Implement schema tests for the affected models to catch similar breakages immediately in the future.
- B. Work with stakeholders to understand if the external change is intentional and adjust the business logic if needed.
- C. Introduce a temporary staging model to transform the data into a compatible structure for your existing models.
- D. All of the above.
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