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dbt Labs dbt-Analytics-Engineering Exam Syllabus Topics:

Section	Weight	Objectives
Topic 1: dbt Fundamentals	15%	- dbt project structure - dbt Core vs dbt Cloud - dbt workflow and best practices
Topic 2: Data Transformation Techniques	25%	- Common table expressions and subqueries - Jinja templating - Macros and packages - Refactoring and incremental models
Topic 3: Models	25%	- Materializations (table, view, ephemeral, incremental) - Seeds - Snapshots - Sources and references - Writing and managing SQL models
Topic 4: Testing and Documentation	20%	- Documentation generation - Schema tests (unique, not_null, accepted_values, relationships) - Custom data tests - dbt docs and DAG visualization
Topic 5: Deployment and Orchestration	15%	- Environments (dev, staging, prod) - Jobs and scheduling in dbt Cloud - Git version control integration - CI/CD with dbt Cloud

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dbt Labs dbt Analytics Engineering Certification Exam Sample Questions (Q214-Q219):

NEW QUESTION # 214
Which of the following scenarios might warrant a git rebase instead of a standard git merge when integrating your changes into the main branch?

A. You want to avoid a merge commit and keep a linear project history.
B. You only want to include a subset of your feature branch commits in the main branch.
C. You need to resolve complex merge conflicts that arise during a standard merge.
D. Your branch has diverged significantly from the main branch with unrelated changes.

Answer: A,D

Explanation:
A Rebasing creates a more linear history, making it easier to trace changes over time. D. Rebasing allows for a cleaner integration when a feature branch contains intermingled changes that shouldn't all be merged.

NEW QUESTION # 215
You're setting up a CI/CD pipeline for dbt deployments. Which actions can help maintain data integrity and consistency between your development, staging, and production environments?

A. Utilize dbt logs and artifacts to track any changes made outside the standard deployment pipeline in each environment.
B. Implement automated tests that validate data quality and model assumptions across all environments.
C. All of the above.
D. Enforce a branching strategy that mirrors environment progression (e.g., dev branch deploys to dev, etc. )

Answer: C

Explanation:
A: Tests ensure consistent behavior and catch issues early across environments. B: Structured branching aligns code changes to the environments they affect. C: Tracking unexpected changes is vital for auditing and troubleshooting.

NEW QUESTION # 216
You're getting inconsistent errors when adding new models in your dbt_project.yml. You suspect typos or indentation issues. How can you proactively improve this situation?

A. Use a code editor or IDE with YAML-specific linting and auto-formatting support.
B. All of the above.
C. Write tests covering various aspects of dbt_project.yml to proactively catch errors.
D. Set up a pre-commit hook that runs a YAML validation script before committing changes.

Answer: B

Explanation:
Each of these plays a role in preventing YAML errors.

NEW QUESTION # 217
You want to include a multi-paragraph description for a source. Which of the following approaches is the most suitable?

A. Reference an external Markdown file within the source description.
B. dbt documentation does not support multi-paragraph descriptions for sources.
C. Utilize YAML's block scalar syntax (using l) to maintain formatting for multi-line descriptions.
D. Write a longer description directly within the YAML file, breaking it across multiple lines.

Answer: C

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

NEW QUESTION # 218
A colleague has introduced a new sensitive column into a source table. You need to update the dbt project documentation accordingly. Which of the following actions should you take?

A. Add the column description and tag it using a custom sensitive tag in the YAML file.
B. Update the source documentation and add references to that documentation in the appropriate model's YAML file
C. Add a clear description of the sensitive column in its corresponding YAML file.
D. Consult your organization's data governance policies and consider additional measures beyond simple documentation.

Answer: A,B,D

Explanation:
B). Tagging sensitive data helps categorize it, allowing for potential filtering or access control within the documentation. C: Handling sensitive data goes beyond simple documentation. Its crucial to follow your organization's data security and governance protocols. D: Referencing source documentation provides full context and traceability of the sensitive data's origin.

NEW QUESTION # 219
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