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dbt Labs dbt-Analytics-Engineering Exam Syllabus Topics:

SectionObjectives
Analytics Engineering Foundations- Modern data stack concepts (ELT vs ETL)
  • 1. Warehouse-centric transformation workflows
    • 2. Role of dbt in analytics engineering
      - SQL proficiency for analytics
      • 1. Data modeling in SQL
        • 2. Joins, aggregations, and window functions
          Deployment and Orchestration- Environments and workflows
          • 1. Development vs production environments
            • 2. Version control with Git
              - Running dbt in production
              • 1. dbt Cloud and job scheduling
                • 2. CI/CD integration patterns
                  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
                          Documentation and Lineage- Data lineage understanding
                          • 1. Dependency tracking with ref()
                            • 2. Directed acyclic graph (DAG)
                              - dbt documentation system
                              • 1. Model descriptions and metadata
                                • 2. Auto-generated docs site
                                  dbt Core Concepts- Project structure and configuration
                                  • 1. dbt_project.yml configuration
                                    • 2. Packages and dependencies
                                      - Models and materializations
                                      • 1. Ref and source functions
                                        • 2. Views, tables, incremental models

                                          dbt Labs dbt Analytics Engineering Certification Sample Questions:

                                          1. You define several sources. However, some are frequently updated, while others rarely change. How can you optimize your dbt run command to account for this difference?

                                          A) Include the -exclude flag along with less-frequently updated source names.
                                          B) Group sources based on update frequency and create separate dbt run commands for each group.
                                          C) Set up dbt schedules within your dbt_project.yml with different intervals for each group.
                                          D) Employ the defer option if downstream models permit and ensure freshness checks are adjusted.


                                          2. (Multiple Select)

                                          A) Enable version control on your dbt_project.yml file and related configuration.
                                          B) Leverage your data warehouse's built-in auditing or change tracking features, if available.
                                          C) Integrate a specialized data lineage tool that tracks dependencies down to the database level..
                                          D) Configure dbt to log all executed SQL statements with sufficient metadata for auditing.


                                          3. You encounter the following error when running dbt compile:Runtime Error in model customer _ churn (models/transformations/customer_churn.sql)

                                          A) The fct_orders source is not configured correctly in your dbt_project.yml file.
                                          B) There's a typo in how you're referencing the fct_orders object in your SQL.
                                          C) The fct_orders model depends on other models that haven't compiled successfully.
                                          D) You need to add a schema test to validate the existence of the fct orders table.


                                          4. You've updated a model's description in a YAML file to reflect a new business requirement. You've also added additional context to the column descriptions. After regenerating the documentation, you notice the model description has updated, but the column descriptions have not. What could be the most likely reasons?

                                          A) The documentation was not configured correctly to display column descriptions.
                                          B) You forgot to run dbt docs generate after modifying the YAML file.
                                          C) The model's YAML file has incorrect syntax preventing column descriptions from rendering.
                                          D) You are viewing an older cached version of the documentatiom


                                          5. Which two are true for a dbt retry command?
                                          Choose 2 options.

                                          A) It reuses selectors from the previous command.
                                          B) It retries the previous command if it is not a syntax error in a model.
                                          C) It reads a manifest.json file to identify the models and tests that failed in the last run.
                                          D) It picks up from the error without running all of the upstream dependencies.
                                          E) It reruns all nodes in your previous invocation statement.


                                          Solutions:

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

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