dbt-Analytics-Engineering PDF Questions - dbt-Analytics-Engineering Exam Question

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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- Modern data stack concepts (ELT vs ETL)
                  • 1. Role of dbt in analytics engineering
                    • 2. Warehouse-centric transformation workflows
                      - SQL proficiency for analytics
                      • 1. Data modeling in SQL
                        • 2. Joins, aggregations, and window functions
                          Testing and Data Quality- Data validation strategies
                          • 1. CI-based validation workflows
                            • 2. Schema testing practices
                              - Built-in and custom tests
                              • 1. Generic tests (unique, not null, relationships)
                                • 2. Custom SQL tests
                                  dbt Core Concepts- Models and materializations
                                  • 1. Ref and source functions
                                    • 2. Views, tables, incremental models
                                      - Project structure and configuration
                                      • 1. Packages and dependencies
                                        • 2. dbt_project.yml configuration

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                                          dbt-Analytics-Engineering PDF Questions - Free PDF Quiz First-grade dbt Labs dbt-Analytics-Engineering Exam Question

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                                          dbt Labs dbt Analytics Engineering Certification Exam Sample Questions (Q75-Q80):

                                          NEW QUESTION # 75

                                          Answer:

                                          Explanation:

                                          Explanation:
                                          For models not stored under finance:
                                          # reporter and bi
                                          For models inside the finance folder:
                                          # finance, reporter, bi, and public
                                          In dbt, grants configured at the root level apply to all models unless overridden by a more specific folder- or model-level configuration.
                                          The root-level grant is:
                                          +grants:
                                          +select: ['reporter', 'bi']
                                          This means all models by default are selectable by:
                                          * reporter
                                          * bi
                                          Now the finance folder contains its own override:
                                          finance:
                                          +grants:
                                          +select: ['finance']
                                          When dbt merges grants, overrides do not replace the entire list-they add onto inherited grants unless explicitly cleared. Therefore, models inside the finance folder inherit the parent grants and add the finance grant.
                                          So models under finance are accessible to:
                                          * finance
                                          * reporter
                                          * bi
                                          * and public (implicit default in most warehouses unless denied)
                                          Models not inside finance use only the root grants:
                                          * reporter
                                          * bi
                                          Thus the correct dropdown answers are:
                                          * reporter and bi
                                          * finance, reporter, bi, and public


                                          NEW QUESTION # 76
                                          During development, you frequently need to refresh and transform large datasets, leading to long dbt run times. Which techniques could you explore to improve your development workflow?

                                          Answer: D

                                          Explanation:
                                          A: Incremental models optimize execution when changes are isolated. B: Ephemeral models avoid unnecessary persistence for temporary steps. C: Sampling decreases data volumes, speeding up development runs.


                                          NEW QUESTION # 77
                                          (Multiple Select)

                                          Answer: C,D

                                          Explanation:
                                          Macros shine in encapsulating recurring complex logic and providing a convenient interface for database-specific functionality. Simple filters might not justify the overhead of a macro.


                                          NEW QUESTION # 78
                                          You're considering using dbt's --store-failures flag when running tests. Which of the following are potential implications of using this flag?

                                          Answer: D

                                          Explanation:
                                          A is the primary purpose of -store-failures. B is not how dependencies work in dbt. C is unlikely as additional data storage is involved. D is not the case; it influences preservation of data associated with the test, not its logic.


                                          NEW QUESTION # 79
                                          Your model has a contract on it.
                                          When renaming a field, you get this error:
                                          This model has an enforced contract that failed.
                                          Please ensure the name, data_type, and number of columns in your contract match the columns in your model's definition.
                                          | column_name | definition_type | contract_type | mismatch_reason |
                                          |-------------|------------------|----------------|-----------------------|
                                          | ORDER_ID | TEXT | TEXT | missing in definition |
                                          | ORDER_KEY | TEXT | | missing in contract |
                                          Which two will fix the error? Choose 2 options.

                                          Answer: B,D

                                          Explanation:
                                          dbt model contracts enforce that the column names, data types, and number of columns defined in the contract exactly match the columns produced by the compiled SQL. If any column appears in one location (the contract or the SQL) but not in the other, dbt raises an enforcement error.
                                          In this scenario, the error message shows:
                                          * ORDER_ID is missing in the model definition, meaning the SQL no longer contains a column named order_id, but the contract still expects it.
                                          * ORDER_KEY is missing in the contract, meaning the model SQL now contains a new column, but this column has not been added to the contract.
                                          To fix the mismatch, you must remove columns from the contract that no longer exist in the SQL and add to the contract any new columns that now appear in the SQL.
                                          Therefore:
                                          * Option A - Remove order_id from the contract - is correct because the column no longer exists in the model SQL.
                                          * Option D - Add order_key to the contract - is correct because the SQL now produces this column.
                                          Options B and C incorrectly alter the wrong side of the definition, and Option E would create a mismatch in the opposite direction.
                                          Thus, the correct fixes are A and D.


                                          NEW QUESTION # 80
                                          ......

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