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| Section | Objectives |
|---|---|
| Topic 1: Deployment and Orchestration | - Environments and workflows
|
| Topic 2: Testing and Data Quality | - Built-in and custom tests
|
| Topic 3: dbt Core Concepts | - Models and materializations
|
| Topic 4: Documentation and Lineage | - Data lineage understanding
|
| Topic 5: Analytics Engineering Foundations | - SQL proficiency for analytics
|
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NEW QUESTION # 184
You must exclude a specific model from being included in the generated documentation entirely. How would you achieve this?
Answer: B
Explanation:
The enabled flag in dbt_project.yml provides control over whether a model (or other resources) are includedin dbt operations, including doc generation. Check your dbt version documentation for the latest syntax
NEW QUESTION # 185
In development, you want to avoid having to re-run all upstream models when refactoring part of your project.
What could you do to save time rebuilding models without spending warehouse credits in your next command?
Answer: C
Explanation:
The correct answer is B: Refer to a manifest and utilize the --defer and --state flags.
According to dbt's official documentation, the --defer flag enables developers to defer the resolution of model references (ref(), source()) to an existing manifest-commonly the one generated from a production run.
When this flag is used along with --state, dbt reads the prior project state and uses the already-built production models instead of rebuilding upstream dependencies. This is essential because production models are typically large and compute-intensive. By deferring to production artifacts, developers can test only the models they have modified, dramatically reducing warehouse costs and speeding up development cycles.
This approach is foundational to dbt's recommended development workflow, especially when working with CI
/CD or large DAGs. It preserves the integrity of the dependency graph while avoiding unnecessary recomputation.
Option A violates dbt best practices by removing dependency awareness. Option C is unnecessary operational overhead and does not integrate with dbt's state management. Option D is incomplete because --state alone does not prevent upstream model execution---defer is required to substitute those models with existing artifacts.
NEW QUESTION # 186
You accidentally pushed a large file containing sensitive data to a public remote repository. What immediate actions should you take?
Answer: C,D
Explanation:
B: You must ensure the sensitive data is completely removed from the history of the repository. C: The hosting service might have additional security measures or be able to assist in preventing the sensitive data from being accessed
NEW QUESTION # 187
Dependency Break
Answer: B
Explanation:
Proactive schema tests, dependency awareness, and failure monitoring enhance resilience.
NEW QUESTION # 188
You're tasked with creating a model for audit purposes. The data must be preserved exactly as it was at a specific point in time. Update frequency is low, and there's no need for additional transformations on the captured dat a. What materialization should you use?
Answer: C
Explanation:
Snapshots are designed for historical preservation. They capture the state of a source at a moment in time, providing a perfect audit trail.
NEW QUESTION # 189
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