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dbt Labs dbt-Analytics-Engineering Exam Syllabus Topics:

Section	Weight	Objectives
dbt Fundamentals	15%	- dbt workflow and best practices - dbt project structure - dbt Core vs dbt Cloud
Models	25%	- Sources and references - Materializations (table, view, ephemeral, incremental) - Snapshots - Seeds - Writing and managing SQL models
Deployment and Orchestration	15%	- Environments (dev, staging, prod) - Jobs and scheduling in dbt Cloud - CI/CD with dbt Cloud - Git version control integration
Testing and Documentation	20%	- Documentation generation - dbt docs and DAG visualization - Schema tests (unique, not_null, accepted_values, relationships) - Custom data tests
Data Transformation Techniques	25%	- Jinja templating - Common table expressions and subqueries - Macros and packages - Refactoring and incremental models

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dbt Labs dbt Analytics Engineering Certification Exam Sample Questions (Q288-Q293):

NEW QUESTION # 288
A new feature you're developing requires significant changes across multiple models in your dbt project. Which branching strategy would be the most suitable and why?

A. Work directly on the main branch, as it ensures your changes are always up-to-date.
B. Avoid using branches altogether, as they can introduce unnecessary complexity into a dbt workflow
C. Create a feature branch for the new development to isolate your work.
D. Create separate branches for each model you'll be modifying to minimize conflicts.

Answer: C

Explanation:
Feature branches provide a dedicated workspace allowing you to work on changes without impacting the stability of the main branch. This is vital for larger changesets.

NEW QUESTION # 289
Which of the following are essential elements of a well-structured pull request description?

A. Detailed logs of each Git command used during development.
B. A concise title summarizing the overall changes.
C. References to related issues in the project tracker, if applicable.
D. Explanations of the reasoning behind major changes and implementation choices.

Answer: B,C,D

Explanation:
A: Clear titles aid quick understanding of the PRs purpose. C: Explanations help reviewers and future developers understand the thought process behind the code. D: Issue references create traceability and context.

NEW QUESTION # 290
A package you depend on has released a major update with breaking changes. How might you approach the migration?

A. Review the release notes and the migration guide provided by the package maintainers.
B. Update your packages.yml to point to the new version and immediately refactor all your dependent models.
C. Fork the package and maintain your own custom version indefinitely.
D. Pin the package to the older version in your packages.yml file and plan a controlled migration.

Answer: A

Explanation:
Understanding the changes is key' Then plan a staged migration to minimize disruption. Forking should be a last resort.

NEW QUESTION # 291
you're working with a dbt project where a central model fct_orders is refactored. Several downstream models rely on this fact table. Which of the following is the MOST efficient way to determine which downstream models might be affected by this change?

A. Execute dbt run and observe for errors.
B. Run dbt test to see which tests might fail.
C. Utilize the dbt docs generate and dbt docs serve commands.
D. Use the dbt Is command to generate a lineage graph.
E. Manually review the code of all downstream models.

Answer: C

Explanation:
While options B, D, and E can indirectly hint at broken models, they're not the most efficient methods. The dbt docs commands allow you to directly visualize and explore dependencies within your dbt project, making it the ideal choice for this scenario.

NEW QUESTION # 292
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?

A. Creating multiple deployment environments in dbt Cloud.
B. dbt's -vars flag to override variable values.
C. dbt profiles defined in your dbt_project.yml file.
D. Using dbt tags to selectively execute parts of your project.

Answer: B,C

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 # 293
......

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