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dbt Labs dbt-Analytics-Engineering Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Managing Data Pipelines15%- Pipeline orchestration
- CI/CD integration
- Deployment strategies
Topic 2: Creating and Maintaining Documentation10%- Descriptions and metadata
- Generating documentation
- Documentation standards
Topic 3: Debugging and Error Resolution15%- Identifying modeling errors
- Resolving data quality issues
- Debugging techniques
Topic 4: Implementing dbt Tests10%- Built-in tests
- Custom tests
- Test configuration and execution
Topic 5: Leveraging dbt State5%- State-aware operations
- State management
Topic 6: Developing dbt Models20%- Model design and structure
  • 1. Materialization types
  • 2. Incremental models
  • 3. Ref and source functions
- Model optimization
  • 1. Performance tuning
  • 2. Model contracts
Topic 7: External Dependencies10%- Managing snapshots
- Using packages
- External sources integration
Topic 8: dbt Models Governance15%- Project organization and structure
- Naming conventions and standards
- Version control integration

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最新的 Analytics Engineers dbt-Analytics-Engineering 免費考試真題 (Q355-Q360):

問題 #355
You're setting up a new dbt project and want to customize the naming of compiled objects in the data warehouse. Which section of the dbt_project.yml file is the most relevant?

答案:D

解題說明:
The models: section, particularly the nested configurations within it, is where you control the naming of materialized models in your database.


問題 #356
Outdated Macro

答案:B,C

解題說明:
Unit tests isolate the macro's logic, while a staging environment allows for real-world impact assessment. A separate source table might be overkill; dbt Is focuses on dependencies, not functionality.


問題 #357
You're collaborating with others on a dbt project. A new feature branch introduces unexpected errors. Which command combination helps analyze potential issues before merging into the main branch?

答案:D

解題說明:
Running models and tests on both branches aids comparison and debugging. While 'docs generate' is helpful, it isn't sufficient for pinpointing runtime errors.


問題 #358
A project is migrating from a staging environment to a production environment within the same data warehouse. However, the production data has more strict access controls. Which approaches could you take to manage this transition?

答案:B

解題說明:
A: Separate profiles allow storing environment-specific credentials. B: Environment variables keep sensitive data out of source control and allow for dynamic configuration of the profiles. yml file. C: Secrets managers offer more robust security for sensitive credentials.


問題 #359
(Multiple Select)

答案:B,D

解題說明:
A is for organization. B aligns execution with update patterns. C is about upstream freshness, less about scheduling itself- D is unnecessarily inefficient


問題 #360
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