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

  • Exam Code: dbt-Analytics-Engineering
  • Exam Name: dbt Analytics Engineering Certification Exam
  • Updated: Sep 14, 2026     Q & A: 359 Questions and Answers

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dbt Labs dbt-Analytics-Engineering Exam Syllabus Topics:

SectionObjectives
Testing and Data Quality- Built-in and custom tests
  • 1. Generic tests (unique, not null, relationships)
    • 2. Custom SQL tests
      - Data validation strategies
      • 1. Schema testing practices
        • 2. CI-based validation workflows
          Deployment and Orchestration- Running dbt in production
          • 1. CI/CD integration patterns
            • 2. dbt Cloud and job scheduling
              - Environments and workflows
              • 1. Version control with Git
                • 2. Development vs production environments
                  Analytics Engineering Foundations- Modern data stack concepts (ELT vs ETL)
                  • 1. Role of dbt in analytics engineering
                    • 2. Warehouse-centric transformation workflows
                      - SQL proficiency for analytics
                      • 1. Joins, aggregations, and window functions
                        • 2. Data modeling in SQL
                          Documentation and Lineage- Data lineage understanding
                          • 1. Directed acyclic graph (DAG)
                            • 2. Dependency tracking with ref()
                              - dbt documentation system
                              • 1. Auto-generated docs site
                                • 2. Model descriptions and metadata
                                  dbt Core Concepts- Project structure and configuration
                                  • 1. Packages and dependencies
                                    • 2. dbt_project.yml configuration
                                      - Models and materializations
                                      • 1. Views, tables, incremental models
                                        • 2. Ref and source functions

                                          dbt Labs dbt Analytics Engineering Certification Sample Questions:

                                          Question #1

                                          (Multiple Select)

                                          • A. Tables, by default, are rebuilt completely with each dbt run.
                                          • B. Tables are well-suited for datasets that undergo frequent, wholesale changes.
                                          • C. Tables generally offer the fastest query performance for pre-computed models.
                                          • D. Tables persist their results on disk, consuming storage resources.
                                          Reveal Solution  Discussion  0

                                          Correct Answer: C,D  🗳️

                                          Explanation: Only visible for Prep4sures members. You can sign-up / login (it's free).

                                          Question #2

                                          After implementing thorough dbt tests, you confidently deploy changes. Yet, downstream Bl dashboards break, and stakeholders complain about inaccurate dat a. What could have gone wrong?

                                          • A. The tests you wrote were too strict, causing false positives.
                                          • B. There are logic errors in your dbt models that the tests didn't catch.
                                          • C. Your tests were correct, but a bug in dbt prevented them from running successfully.
                                          • D. Critical assumptions were made about the data in the Bl layer, independent of dbt models.
                                          Reveal Solution  Discussion  0

                                          Correct Answer: B,D  🗳️

                                          Explanation: Only visible for Prep4sures members. You can sign-up / login (it's free).

                                          Question #3

                                          dbt Model Snippet:SQL

                                          • A. The source() function retrieving data from the incorrect schema.
                                          • B. Incorrect Jinja usage within a macro used for templating.
                                          • C. The SUM(order_amount) aggregation logic.
                                          • D. The GROUP BY month clause leading to duplicate rows.
                                          Reveal Solution  Discussion  0

                                          Correct Answer: C  🗳️

                                          Explanation: Only visible for Prep4sures members. You can sign-up / login (it's free).

                                          Question #4

                                          Your data warehouse is undergoing a migration to a different vendor (e.g., Snowflake to BigQuery). Which category of tools might play a critical role in ensuring a smooth transition of your dbt project?

                                          • A. Cloud infrastructure management tools
                                          • B. Data virtualization tools
                                          • C. SQL dialect translation tools
                                          • D. dbt adapters
                                          Reveal Solution  Discussion  0

                                          Correct Answer: C,D  🗳️

                                          Explanation: Only visible for Prep4sures members. You can sign-up / login (it's free).

                                          Question #5

                                          You add a new seed file. Here's a snippet of your dbt_project.yml:YAML

                                          • A. The "+" is incorrect for nested elements in this context
                                          • B. You cannot enable a seed file using the enabled property.
                                          • C. The syntax within the column_types section is incorrect
                                          • D. Specifying column_types directly under seeds is invalid in a dbt_project_yml.
                                          Reveal Solution  Discussion  0

                                          Correct Answer: D  🗳️

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