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| Section | Objectives |
|---|---|
| Topic 1: Deployment and Orchestration | - Environments and workflows
|
| Topic 2: Documentation and Lineage | - Data lineage understanding
|
| Topic 3: dbt Core Concepts | - Models and materializations
|
| Topic 4: Testing and Data Quality | - Data validation strategies
|
| Topic 5: Analytics Engineering Foundations | - SQL proficiency for analytics
|
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NEW QUESTION # 177
"Sometimes columns that should have data are showing null values!" exclaims a colleague. What initial debugging steps would you suggest beyond examining the model logic itself?
Answer: C
Explanation:
Don't limit yourself to the single model in question! Data flows throughout the project, and changes elsewhere might have cascading effects.
NEW QUESTION # 178
A performance-critical model depends on multiple complex transformations that would benefit from being pre-computed. Direct querying of this model should be as fast as possible. Which materialization is likely the best choice?
Answer: C
Explanation:
Explanation: Tables store materialized results on disk. When pre-calculated, they offer the fastest query response time, making them suitable for performance-sensitive models.
NEW QUESTION # 179
You frequently need to spin up short-lived development environments on demand for testing and experimentation. Which dbt feature would streamline this process, especially when it involves custom configuration?
Answer: A,B
Explanation:
A encapsulates environment settings in reusable blocks- B allows for ad-hoc adjustments when running dbt- C is relevant for cloud-based setups, but less flexible for on-the-fly changes- D relates to model selection, not environment setup.
NEW QUESTION # 180
Which is true about writing generic tests?
Choose 1 option.
Answer: B
Explanation:
The correct answer is E: They are written using the {% macro %} wrapper.
Generic tests in dbt are implemented as macros, which means they must be defined using the {% macro %} Jinja syntax. These macros return a SQL query that evaluates to rows representing test failures. dbt executes these queries and marks the test as failed if any rows are returned. This requirement is explicitly documented:
all generic tests are macros located in a test directory or within a package.
Option A is partially correct but not universal. Generic tests typically accept arguments such as model or column_name, but dbt does not require both or either. Custom tests can accept any parameters defined by the user. Option B is incorrect because tests do not require ref(); dbt injects the model relation for you when the test is executed. Option C is false because generic tests must be declared in YAML under a model or source for dbt to run them. Option D is incorrect because tests do not always need a column_name (e.g., relationship tests, row-count tests, table-level validations).
Therefore, the defining and universally required characteristic is that generic tests are written as macros, making E the correct answer.
NEW QUESTION # 181
A pull request targeting your main branch has been approved in code review but requires changes after automated tests fail. To address this, you should:
Answer: C
Explanation:
The branch author should update their pull request with fixes. Merging should typically only happen once tests pass, indicating code stability.
NEW QUESTION # 182
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