• Exam Code: dbt-Analytics-Engineering
  • Exam Name: dbt Analytics Engineering Certification Exam
  • Certification Provider: dbt Labs
  • Corresponding Certification:Analytics Engineers
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dbt Labs dbt-Analytics-Engineering Exam Syllabus Topics:

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

dbt Labs dbt Analytics Engineering Certification Sample Questions:

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

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


2. You're tasked with adding functionality to your dbt project for:

A) Handling slowly changing dimensions.
B) Calculating complex financial metrics specific to your industry
C) Auditing data quality with comprehensive anomaly detection tests.


3. (Multiple Select)

A) materialized: view
B) test-paths
C) database
D) model-paths


4. (Multiple Select)

A) Update the packages_yml file to point to your forked version of the package.
B) Temporarily override the buggy macro or model within your dbt project.
C) Switch to a different dbt package offering similar functionality.
D) Submit an issue to the package's GitHub repository if its open-source.


5. You're working in a dbt Cloud development environment. You make a change to a model definition that accidentally introduces an invalid column reference. What's the likely sequence of events when you trigger a dbt run?

A) The job will succeed but produce incorrect output due to the invalid reference.
B) The job will fail during compilation, and a clear error message will point to the invalid reference.
C) The job will succeed, as dbt only validates schema changes at deployment time.
D) The job execution state will depend on the specific SQL dialect of your data warehouse.


Solutions:

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

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