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dbt Labs dbt-Analytics-Engineering Exam Syllabus Topics:

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

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dbt Labs dbt Analytics Engineering Certification Exam Sample Questions (Q39-Q44):

NEW QUESTION # 39
A project relies on multiple external data sources with varying update frequencies (some daily, some hourly, some near real-time). How might you approach designing your dbt environments to efficiently handle these sources?

A. All of the above could contribute to an effective solution.
B. Utilize incremental models and orchestration features provided by dbt to minimize unnecessary reprocessing of data.
C. Consider staging data in your data warehouse with varying materialization strategies, allowing for streamlined transformation logic in dbt.
D. Use separate dbt targets for each source type based on update frequency to optimize run schedules.

Answer: A

Explanation:
A: Separate targets allow for tailored run schedules and resource usage. B: Data staging techniques give granular control over data freshness. C: Incremental models and orchestration enhance efficiency.

NEW QUESTION # 40
You have a complex dbt model that is essential for production reporting. To minimize the risk of breaking this model during development, what strategy might you employ?

A. Write extensive tests targeting this model in your production environment
B. Configure production jobs to use a pinned version of the dbt model.
C. Create a duplicate model in production and only sync changes once they're fully tested-
D. Rely on your data warehouse's native rollback functionality to reverse changes if needed.

Answer: B,C

Explanation:
A provides stability for the critical part of production- C offers a staging-like area within production. B is good, but doesn't prevent the breakage upstream. D isnt generally how dbt models operate-

NEW QUESTION # 41
(Multiple Select)

A. Nesting multiple correlated subqueries within a single query_
B. Using SELECT * to include all columns dynamically
C. Leveraging window functions to calculate values across rows or groups.
D. Writing custom macros to encapsulate frequently used SQL logic.

Answer: A,B

Explanation:
SELECT * can lead to performance issues and unexpected results. Correlated subqueries often have better-performing joins equivalents. Macros and window functions are good practices.

NEW QUESTION # 42
You need to run a custom Python script after your dbt models execute. Where and how can you configure this in your dbt_project.yml file?

A. Define it as a 'snapshot' to ensure it runs after all models.
B. Create an 'integration test' and use the PythonFunction class-
C. Include the script as a 'seed' file with a specific execution order
D. Utilize the on-run-end hook configuration.

Answer: D

Explanation:
on-run-end hooks allow you to execute arbitrary code at the end of a dbt run.

NEW QUESTION # 43
External Dependency

A. Implement schema tests for the affected models to catch similar breakages immediately in the future.
B. Introduce a temporary staging model to transform the data into a compatible structure for your existing models.
C. All of the above.
D. Work with stakeholders to understand if the external change is intentional and adjust the business logic if needed.

Answer: C

Explanation:
This requires adaptation, proactive future detection, and possible requirements adjustment since you can't fix what's not in your control.

NEW QUESTION # 44
......

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