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dbt Labs dbt-Analytics-Engineering Exam Syllabus Topics:

SectionWeightObjectives
Testing and Documentation20%- Custom data tests
- Documentation generation
- Schema tests (unique, not_null, accepted_values, relationships)
- dbt docs and DAG visualization
dbt Fundamentals15%- dbt workflow and best practices
- dbt project structure
- dbt Core vs dbt Cloud
Deployment and Orchestration15%- CI/CD with dbt Cloud
- Environments (dev, staging, prod)
- Git version control integration
- Jobs and scheduling in dbt Cloud
Models25%- Writing and managing SQL models
- Sources and references
- Materializations (table, view, ephemeral, incremental)
- Seeds
- Snapshots
Data Transformation Techniques25%- Common table expressions and subqueries
- Jinja templating
- Macros and packages
- Refactoring and incremental models

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dbt Labs dbt Analytics Engineering Certification Exam Sample Questions (Q262-Q267):

NEW QUESTION # 262
You're working with a development data warehouse meant to closely mirror production. To make code more portable between environments, you opt to use environment variables for connection details. What's the best way to manage these?

Answer: C,D

Explanation:
B provides the most secure and easily auditable solution. D is essential for automating deployments. A is insecure practice. C is cumbersome and error-prone.


NEW QUESTION # 263
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: D

Explanation:
The branch author should update their pull request with fixes. Merging should typically only happen once tests pass, indicating code stability.


NEW QUESTION # 264
dbt Model Snippet:SQL

Answer: C

Explanation:
Subqueries can be performance bottlenecks- The other parts, while potentially optimizable, are less likely to cause a dramatic slowdown.


NEW QUESTION # 265
You want to include a multi-paragraph description for a source. Which of the following approaches is the most suitable?

Answer: D

Explanation:
The block scalar syntax in YAML allows for writing multi-line text blocks that preserve the original formatting


NEW QUESTION # 266
You need to gather detailed metrics about how your dbt models are used (who runs them, frequency, common failure points, etc.). What kind of tooling would help with this?

Answer: C,D

Explanation:
B is relevant if you use dbt Cloud. C is suitable, as many observability platforms have features for tracking operational data, including dbt job metrics. A and D, while containing information, are likely too granular or require a lot of manual work.


NEW QUESTION # 267
......

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