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dbt Labs dbt-Analytics-Engineering Exam Syllabus Topics:

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

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dbt Labs dbt Analytics Engineering Certification Exam Sample Questions (Q271-Q276):

NEW QUESTION # 271
You're setting up CI/CD for your dbt project to automate deployments. Which aspects of your testing strategy might need adaptation for a production-focused CI/CD workflow?

Answer: A,C

Explanation:
B ensures the deployed changes actually work in the real environment. C helps maintain CI/CD flow without unnecessary disruptions. A is counterproductive in a time-sensitive CI/CD context. D would overly limit your testing coverage.


NEW QUESTION # 272
You're testing a model containing financial calculations. Your stakeholders require a high degree of accuracy. Which consideration is most important when designing tests for this scenario?

Answer: B,C

Explanation:
B recognizes that financial calculations often have rounding imprecision, necessitating tolerance-based checks. C is crucial as even minor input variations can propagate into significant errors for financial models. A is generally a bad practice; D focuses on quantity, not the specific quality needed here.


NEW QUESTION # 273
You need to roll out a database migration mid-month. It requires changes to some of your dbt model schemas. How would you manage a smooth transition?

Answer: C

Explanation:
C allows for gradual rollout and controlled testing. A' would lead to downtime, B potentially too much downtime, and D increases maintenance overhead.


NEW QUESTION # 274
You need a way to document relationships between raw source tables, dbt models, and downstream Bl dashboards. What type of tool would be best suited for this task?

Answer: C

Explanation:
While dbt docs is valuable for dbt project specifics, data catalogs specialize in the broader, end-to-end lineage information needed in this scenario.


NEW QUESTION # 275
Several of your users report that dashboards built on top of your dbt models are intermittently displaying stale dat a. Which of the following might be a potential cause?

Answer: A

Explanation:
Each of these could lead to stale data Start by examining freshness checks, then materializations, and if those are correct, inspect the DAG for execution bottlenecks.


NEW QUESTION # 276
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