dbt Labs dbt-Analytics-Engineering : dbt Analytics Engineering Certification Exam

dbt-Analytics-Engineering pass collection

Exam Code: dbt-Analytics-Engineering

Exam Name: dbt Analytics Engineering Certification Exam

Updated: Aug 07, 2026

Q & A: 359 Questions and Answers

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dbt Labs dbt-Analytics-Engineering Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Debugging and Error Resolution15%- Debugging techniques
- Resolving data quality issues
- Identifying modeling errors
Topic 2: External Dependencies10%- Using packages
- External sources integration
- Managing snapshots
Topic 3: Creating and Maintaining Documentation10%- Documentation standards
- Descriptions and metadata
- Generating documentation
Topic 4: Managing Data Pipelines15%- Pipeline orchestration
- Deployment strategies
- CI/CD integration
Topic 5: Implementing dbt Tests10%- Built-in tests
- Custom tests
- Test configuration and execution
Topic 6: Leveraging dbt State5%- State management
- State-aware operations
Topic 7: Developing dbt Models20%- Model optimization
  • 1. Performance tuning
  • 2. Model contracts
- Model design and structure
  • 1. Incremental models
  • 2. Materialization types
  • 3. Ref and source functions
Topic 8: dbt Models Governance15%- Version control integration
- Naming conventions and standards
- Project organization and structure

dbt Labs dbt Analytics Engineering Certification Sample Questions:

1. You're collaborating on a branch and need to temporarily switch to a different branch to address an urgent hotfix. Which Git command allows you to save your current uncommitted work without interrupting the changes on your active branch?

A) git reset
B) git stage
C) git push
D) git stash


2. You discover a vulnerability in a third-party lineage-enhancing dbt package you use. Where might you first look for information and potential fixes?

A) Directly in the manifest.json or packages.yml files within your project
B) Only the authors of the dbt package would be able to address the vulnerability.
C) The GitHub repository or documentation of the dbt package.
D) Centralized dbt documentation or a discussion forum.


3. (Multiple Select)

A) You need to grant access to a model's results to users with limited permissions.
B) The model involves complex transformations that are computationally expensive.
C) Long-term storage of the model's output isn't a primary requirement.
D) The model's data needs to be frequently joined with other datasets for analysis.


4. Several models perform similar filtering and aggregation on a frequently used source table. What's the most effective way to streamline this process and improve maintainability?

A) Create a snapshot to capture the pre-processed state of the source table.
B) Create an ephemeral model to prepare the data in a common format, referenced by downstream models.
C) Create a table materialization to hold the pre-processed data.
D) Replicate the filtering and aggregation logic directly within each model.


5. While working on a pull request, you realize a much better approach exists. Which actions could you take?

A) Avoid introducing major changes during a pull request, as it hinders effective code review.
B) Close the original pull request, create a new branch, and open a new pull request.
C) Make the changes on your branch and use git push -force to overwrite the existing remote branch.
D) Add new commits to the existing branch, explaining the change of direction in the comments on the pull request.


Solutions:

Question # 1
Answer: D
Question # 2
Answer: C
Question # 3
Answer: A,C
Question # 4
Answer: B
Question # 5
Answer: B,D

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