dbt Labs dbt-Analytics-Engineering test insides dumps : dbt Analytics Engineering Certification Exam

dbt Labs dbt-Analytics-Engineering test insides dumps
  • Exam Code: dbt-Analytics-Engineering
  • Exam Name: dbt Analytics Engineering Certification Exam
  • Updated: Aug 08, 2026
  • Q & A: 359 Questions and Answers
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dbt Labs dbt-Analytics-Engineering Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Models25%- Writing and managing SQL models
- Sources and references
- Seeds
- Snapshots
- Materializations (table, view, ephemeral, incremental)
Topic 2: Deployment and Orchestration15%- Environments (dev, staging, prod)
- Jobs and scheduling in dbt Cloud
- CI/CD with dbt Cloud
- Git version control integration
Topic 3: dbt Fundamentals15%- dbt Core vs dbt Cloud
- dbt project structure
- dbt workflow and best practices
Topic 4: Testing and Documentation20%- Custom data tests
- Schema tests (unique, not_null, accepted_values, relationships)
- dbt docs and DAG visualization
- Documentation generation
Topic 5: Data Transformation Techniques25%- Refactoring and incremental models
- Macros and packages
- Jinja templating
- Common table expressions and subqueries

dbt Labs dbt Analytics Engineering Certification Sample Questions:

1. You want to include a detailed lineage diagram in your project documentation. Which of these approaches would you likely consider?

A) Configure a third-party dbt package designed for enhanced lineage and visualization.
B) Use the built-in lineage functionality within dbt's standard documentation generation.
C) Write a custom macro that generates a lineage diagram and include it in relevant model descriptions.
D) Manually create a diagram using a separate tool and add an image reference in a model's description.


2. (Multiple Select)

A) Using separate dbt profiles for production and development environments
B) Integrating dbt with your CI/CD tool and using job-specific triggers or filters.
C) Implementing pre-hooks and post-hooks to perform tasks before and after dbt model execution.
D) Scheduling less frequent jobs using dbt Cloud's built-in job scheduler


3. Business requirements call for a report ranking products based on year-over-year (YoY) revenue growth. Historical data must be preserved. What's a potential issue in implementing this directly in a dbt model?

A) Views cannot perform complex date manipulation required for YoY calculations.
B) Incremental materializations aren't suitable for trend analysis.
C) Data warehouses might not be optimized for period-over-period comparisons.
D) ref() functions can hinder performance when working with historical data.


4. You have an urgent hotfix that needs to be deployed while a larger feature branch is still under review. Which strategies could you consider?

A) Temporarily revert the feature branch changes, deploy the hotfix, and then restore the feature branch.
B) Create a dedicated branch from the main branch specifically for the hotfix.
C) Merge the hotfix into the feature branch and wait for the entire feature to be approved.
D) Merge the hotfix into the main branch and then rebase the feature branch on top of the new main branch.


5. After running dbt docs generate, you notice that your project documentation looks incomplete, and certain details seem to be missing. Which of the following actions could help you troubleshoot the issue?

A) Ensure all relevant model directories are present under the top-level 'models' directory of your dbt project
B) Verify that all your models, sources, seeds, and tests have descriptions where appropriate.
C) Check if you've unintentionally used the -select flag to limit model inclusion during a previous dbt run.
D) Run the dbt clean command to clear out any outdated artifacts.


Solutions:

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

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