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dbt Labs dbt-Analytics-Engineering Exam Syllabus Topics:

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

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dbt Labs dbt Analytics Engineering Certification Exam Sample Questions (Q44-Q49):

NEW QUESTION # 44
(Multiple Select)

A. Loading configuration data for production environments that differs from development settings.
B. Populating a lookup table with country codes.
C. Inserting large volumes of historical transactional data for backfilling purposes.
D. Defining generic tests that apply to multiple data sources.

Answer: A,B

Explanation:
seeds are ideal for static reference data and environment-specific configurations. Large data backfills are usually handled outside of 'seeds'. Generic tests would be defined in the tests section.

NEW QUESTION # 45
You've created a macro to display upstream dependencies differently from downstream dependencies in the DAG. However, after re-generating the documentation, the visualization doesn't seem to have changed. What should you investigate?

A. The built-in DAG functionality might have limitations preventing this type of customization.
B. Ensure the macro is named correctly and located in the appropriate directory (macros folder) of your dbt project.
C. Update the cache expiration settings of your web browser.
D. Verify that your web browser supports the CSS and JavaScript used for custom DAG styling.

Answer: A,B,D

Explanation:
B: dbt needs to be able to find your macro for it to be used. C: Browser compatibility can sometimes impact the rendering of custom visualizations. D: It's possible there are constraints on how far you can modify the built-in DAG.

NEW QUESTION # 46
You notice that long descriptions within sources.yml cause formatting issues when viewing the docs, making them hard to read. What strategies could you employ to mitigate this?

A. Enforce a strict character limit on source descriptions-
B. Use a third-party dbt package that enhances the presentation of source descriptions in documentation.
C. Split your source description into multiple properties (e.g., description_short and description_long)
D. Utilize Markdown within your descriptions to improve readability with headings and line breaks-

Answer: B,C,D

Explanation:
B: Markdown syntax can improve long description readability within the generated docs. C: Third-party packages may offer customized formatting for source descriptions. D: Creating separate properties can provide an alternative way to manage both short and longer versions of a description.

NEW QUESTION # 47
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. Enforce a branching strategy that mirrors environment progression (e.g., dev branch deploys to dev, etc. )
B. Implement automated tests that validate data quality and model assumptions across all environments.
C. Utilize dbt logs and artifacts to track any changes made outside the standard deployment pipeline in each environment.
D. All of the above.

Answer: D

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 # 48
(Multiple Select)

A. Create views on top of dbt model tables, providing a stable abstraction layer for the Bl tools.
B. Instruct dbt to rename columns rather than dropping and recreating them during updates.
C. Establish a naming convention in dbt that external tools can rely upon.
D. Avoid refactoring dbt models that are directly queried by external tools.

Answer: A

Explanation:
B decouples the tools from the underlying model. A is database dependent, C is fragile, D inhibits improvement

NEW QUESTION # 49
......

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