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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Testing and Documentation | 20% | - Schema tests (unique, not_null, accepted_values, relationships) - Documentation generation - dbt docs and DAG visualization - Custom data tests |
| Topic 2: Models | 25% | - Snapshots - Sources and references - Materializations (table, view, ephemeral, incremental) - Seeds - Writing and managing SQL models |
| Topic 3: Data Transformation Techniques | 25% | - Macros and packages - Refactoring and incremental models - Common table expressions and subqueries - Jinja templating |
| Topic 4: dbt Fundamentals | 15% | - dbt Core vs dbt Cloud - dbt project structure - dbt workflow and best practices |
| Topic 5: Deployment and Orchestration | 15% | - CI/CD with dbt Cloud - Jobs and scheduling in dbt Cloud - Environments (dev, staging, prod) - Git version control integration |
1. (Multiple Select)
A) The nested CASE statement with repeated conditional checks is causing redundant calculations.
B) The fct_orders table might lack an appropriate index for the warehouse_code column.
C) The Jinja templating itself introduces a significant processing overhead.
D) Dynamically generating column names in a loop is inefficient for most databases.
2. You've created a complex lineage macro, and you want to include unit tests for the macro logic itself. How might you approach this?
A) Currently, there is no standard way to directly unit test macros within a dbt project
B) Write a Jinja script that programmatically tests various input/output scenarios of your macro.
C) Include test cases for the macro within your model-level schema.yml files.
D) Utilize dbt's built-in macro testing framework.
3. You're onboarding a new team member and need to set them up with a personal sandbox environment within your existing project. What factors do you need to consider?
A) How to provision data warehouse resources if needed, such as a separate schema or potentially even a dedicated database.
B) Whether they need access to production data replicas and how to control this securely
C) All of the above.
D) How to configure a profile on their machine and guide them to isolate changes to their sandbox.
4. (Multiple Select)
A) Using clear and consistent naming conventions across models and macros.
B) Minimizing explicit model dependencies to create loosely coupled components.
C) Preferring long, monolithic SQL files with minimal CTEs.
D) Encapsulating complex logic in well-named macros with descriptive comments.
5. A team member proposes directly joining multiple raw source tables into a single large model for convenience.
Which of the following is a potential long-term consequence of this approach?
A) The dbt test command might run slower due to the complex join logic.
B) Incremental materialization strategies would no longer be applicable.
C) Your DAG might inadvertently develop circular dependencies.
D) Maintenance complexity increases as business logic or source tables change.
Solutions:
| Question # 1 Answer: A,D | Question # 2 Answer: B | Question # 3 Answer: C | Question # 4 Answer: A,D | Question # 5 Answer: D |
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