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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: dbt Fundamentals | 15% | - dbt Core vs dbt Cloud - dbt workflow and best practices - dbt project structure |
| Topic 2: Models | 25% | - Seeds - Materializations (table, view, ephemeral, incremental) - Sources and references - Snapshots - Writing and managing SQL models |
| Topic 3: Data Transformation Techniques | 25% | - Refactoring and incremental models - Macros and packages - Jinja templating - Common table expressions and subqueries |
| Topic 4: Testing and Documentation | 20% | - Schema tests (unique, not_null, accepted_values, relationships) - Documentation generation - dbt docs and DAG visualization - Custom data tests |
| Topic 5: Deployment and Orchestration | 15% | - Environments (dev, staging, prod) - Git version control integration - CI/CD with dbt Cloud - Jobs and scheduling in dbt Cloud |
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質問 # 221
You've created a complex lineage macro, and you want to include unit tests for the macro logic itself. How might you approach this?
正解:A
解説:
While dbt doesn't have a dedicated macro testing framework, Jinja provides ways to construct tests. However, there's no built-in mechanism to run these as part of your typical dbt workflow.
質問 # 222
(Multiple Select)
正解:A、B
解説:
UNION operations can be expensive. Indexing is essential for query optimization. SELECT * and correlated subqueries are generally less performant.
質問 # 223
You need a materialization that automatically adapts to upstream schema changes while still preserving query performance. Which dbt materialization offers this kind of flexibility?
正解:B
解説:
Views are dynamically built at query time, inheriting their schema from the underlying sources, thus providing built-in adaptation.
質問 # 224
You discover a vulnerability in a third-party lineage-enhancing dbt package you use. Where might you first look for information and potential fixes?
正解:C
解説:
The package maintainer is the primary source for updates and vulnerability fixes. However, other resources like A & C might provide additional information or community solutions.
質問 # 225
Which two configuration items can be defined under models: in your dbt_project.yml file?
Choose 2 options.
正解:B、D
解説:
The correct answers are A: schema and C: tags.
In dbt, the dbt_project.yml file is the central configuration file that defines model-level settings. Under the models: section, you can specify a wide range of model configurations such as schema, materialized, tags, alias, and custom meta fields. The schema configuration allows you to control which database schema a model should be built in, giving analytics engineers the flexibility to organize models by domain or environment. The tags configuration is also valid under models: and is widely used to group models logically for selection, documentation, or orchestration workflows.
Option B (source) is incorrect because sources are defined under YAML files in the sources: section, not under models: in dbt_project.yml. Option D (test) is incorrect because tests must be defined in model or source YAML files, not inside the project configuration. Option E (target) is not a configuration that applies to models; rather, it refers to dbt runtime environments and cannot be configured under the models: block.
dbt's project configuration system ensures that model-level behavior is managed centrally and consistently, and schema and tags are two of the officially supported configuration keys under models:.
質問 # 226
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