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dbt Labs dbt-Analytics-Engineering Exam Syllabus Topics:

SectionObjectives
Deployment and Orchestration- Running dbt in production
  • 1. dbt Cloud and job scheduling
    • 2. CI/CD integration patterns
      - Environments and workflows
      • 1. Version control with Git
        • 2. Development vs production environments
          Documentation and Lineage- Data lineage understanding
          • 1. Dependency tracking with ref()
            • 2. Directed acyclic graph (DAG)
              - dbt documentation system
              • 1. Auto-generated docs site
                • 2. Model descriptions and metadata
                  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. Role of dbt in analytics engineering
                        • 2. Warehouse-centric transformation workflows
                          Testing and Data Quality- Built-in and custom tests
                          • 1. Custom SQL tests
                            • 2. Generic tests (unique, not null, relationships)
                              - Data validation strategies
                              • 1. Schema testing practices
                                • 2. CI-based validation workflows
                                  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

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                                          dbt Labs dbt Analytics Engineering Certification Exam Sample Questions (Q30-Q35):

                                          NEW QUESTION # 30
                                          A new stakeholder needs to receive an email report generated from the results of a specific dbt model. Unfortunately, your Bl tool doesn't directly integrate with dbt. How could you address this?

                                          Answer: B,C,D

                                          Explanation:
                                          Each provides a means to get the data outA does it within dbt workflow B uses an external tool for the non- dbt task. C leaves the data ready for other tools. D is clumsy and adds storage overhead.


                                          NEW QUESTION # 31
                                          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?

                                          Answer: A

                                          Explanation:
                                          Feature branches provide a dedicated workspace allowing you to work on changes without impacting the stability of the main branch. This is vital for larger changesets.


                                          NEW QUESTION # 32
                                          You try updating a column description using its corresponding YAML file. After regenerating the docs, the update doesn't appear. Which of the following might be the cause?

                                          Answer: C,D

                                          Explanation:
                                          A: Aggressive browser caching can sometimes prevent updates from being reflected. C: Even small syntax errors in YAML can lead to dbt ignoring certain elements during the documentation generation process.


                                          NEW QUESTION # 33
                                          While reviewing a dbt project, you notice a pattern where ref() calls are chained together:
                                          Model A references Model B, which in turn references Model C.
                                          What's a potential downside of this pattern?

                                          Answer: B

                                          Explanation:
                                          While chaining ref() calls works technically, it can quickly make dependency tracking overly complex, especially in larger projects.


                                          NEW QUESTION # 34
                                          You get a compilation error: "Configuration key 'enabled' not found". Where in your dbt_project.yml would you start looking to fix this, and why?

                                          Answer: B

                                          Explanation:
                                          Since it's a generic error, start with the most common location - model configurations. The others might be valid in certain scenarios.


                                          NEW QUESTION # 35
                                          ......

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