dbt Labs dbt-Analytics-Engineering Valid Q&A - in .pdf

  • dbt-Analytics-Engineering pdf
  • Exam Code: dbt-Analytics-Engineering
  • Exam Name: dbt Analytics Engineering Certification Exam
  • Updated: Sep 03, 2026
  • Q & A: 359 Questions and Answers
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  • Updated: Sep 03, 2026
  • Q & A: 359 Questions and Answers
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  • Exam Code: dbt-Analytics-Engineering
  • Exam Name: dbt Analytics Engineering Certification Exam
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dbt Labs dbt-Analytics-Engineering Exam Syllabus Topics:

SectionObjectives
Topic 1: 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
          Topic 2: Documentation and Lineage- dbt documentation system
          • 1. Auto-generated docs site
            • 2. Model descriptions and metadata
              - Data lineage understanding
              • 1. Directed acyclic graph (DAG)
                • 2. Dependency tracking with ref()
                  Topic 3: Testing and Data Quality- Built-in and custom tests
                  • 1. Custom SQL tests
                    • 2. Generic tests (unique, not null, relationships)
                      - Data validation strategies
                      • 1. CI-based validation workflows
                        • 2. Schema testing practices
                          Topic 4: Analytics Engineering Foundations- SQL proficiency for analytics
                          • 1. Joins, aggregations, and window functions
                            • 2. Data modeling in SQL
                              - Modern data stack concepts (ELT vs ETL)
                              • 1. Warehouse-centric transformation workflows
                                • 2. Role of dbt in analytics engineering
                                  Topic 5: dbt Core Concepts- Models and materializations
                                  • 1. Views, tables, incremental models
                                    • 2. Ref and source functions
                                      - Project structure and configuration
                                      • 1. dbt_project.yml configuration
                                        • 2. Packages and dependencies

                                          dbt Labs dbt Analytics Engineering Certification Sample Questions:

                                          Question 1

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

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


                                          Question 2

                                          dbt Model Snippet:SQL

                                          A. Your sources.yml file is not configured correctly-
                                          B. Your dbt_projectyml file has a model-level schema override.
                                          C. The stg_orders model uses a schema config in its own model SQL
                                          D. There's a custom macro in use that dynamically changes schemas.


                                          Question 3

                                          A new feature you're developing requires significant changes across multiple models in your dbt project. Which branching strategy would be the most suitable and why?

                                          A. Create a feature branch for the new development to isolate your work.
                                          B. Avoid using branches altogether, as they can introduce unnecessary complexity into a dbt workflow
                                          C. Create separate branches for each model you'll be modifying to minimize conflicts.
                                          D. Work directly on the main branch, as it ensures your changes are always up-to-date.


                                          Question 4

                                          You frequently need to implement custom SQL tests that are very similar but with slight variations in parameters. Which dbt feature could streamline this process?

                                          A. dbt seeds
                                          B. dbt macros
                                          C. The relationships test
                                          D. dbt snapshots


                                          Question 5

                                          You need a way to document relationships between raw source tables, dbt models, and downstream Bl dashboards. What type of tool would be best suited for this task?

                                          A. A version control system
                                          B. A data profiling tool
                                          C. dbt's built-in documentation (dbt docs)
                                          D. A data catalog


                                          Solutions:

                                          Question 1
                                          Answer: B
                                          Question 2
                                          Answer: B
                                          Question 3
                                          Answer: A
                                          Question 4
                                          Answer: B
                                          Question 5
                                          Answer: D

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