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dbt Labs dbt-Analytics-Engineering Exam Syllabus Topics:

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

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dbt Labs dbt Analytics Engineering Certification Exam Sample Questions (Q26-Q31):

NEW QUESTION # 26
(Multiple Select)

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

Answer: B,D

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 # 27
You're refactoring a complex dbt model and realize breaking it down into smaller models would improve readability. However, you're concerned about performance overhead due to the additional materializations. How would you address this concern?

A. Profile your models to pinpoint bottlenecks and optimize those specifically.
B. Switch to incremental materializations for all intermediate models.
C. Utilize ephemeral materializations for intermediate steps, where appropriate_
D. Rely on source freshness checks to determine if intermediate models need to be rebuilt_

Answer: A

Explanation:
Don't optimize prematurely. Profiling lets you identify the most performance-critical parts of your model before changing materializations. The other options may help but targeted optimizations are key.

NEW QUESTION # 28
You're integrating a new dbt package and find its models conflict with naming conventions in your existing project. Which approach generally provides the most flexible solution?

A. Contact the package maintainers to request changes aligning with your conventions.
B. Override the package's macros and redefine them within your project.
C. Utilize the dbt_project.yml file to re-alias the models provided by the package.
D. Manually edit the SQL within the conflicting package models.

Answer: C

Explanation:
Re-aliasing at the project level offers a centralized and maintainable way to manage naming conflicts. Editing package code directly should be avoided if possible.

NEW QUESTION # 29
You're onboarding new developers to your dbt project. To simplify their setup, you want to provide a standard profiles.yml template. What should you consider when doing this?

A. Providing example dbt commands as comments directly within the file to guide new users.
B. Including different target configurations to illustrate switching between development and production.
C. Referencing environment variables to allow for easy customization by developers.
D. Prepopulating common credentials to make the initial setup hassle-free.

Answer: A,B,C

Explanation:
B promotes flexibility and security (avoids storing sensitive data). C demonstrates good practices. D enhances usability A is a major security risk!

NEW QUESTION # 30
Your team uses a custom macro to generate model descriptions dynamically. However, these descriptions don't appear in the DAG visualization within the documentation. Which of the following might cause this issue?

A. Dynamically generated descriptions are incompatible with DAG visualizations in dbt
B. The macro might not be returning the description in the standard format that dbt documentation expects.
C. Custom macros always require explicit configuration in your dbt_project.yml file to be rendered in the DAG-
D. The generated documentation site might be cached, preventing the updated descriptions from appearing.

Answer: B,C,D

Explanation:
A Some macros might require additional settings to be integrated correctly into the documentation. B- dbt expects descriptions in specific formats for DAG rendering. Your macro output needs to adhere to these. C: Caching can sometimes mask the latest changes in the documentation.

NEW QUESTION # 31
......

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