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dbt Labs dbt-Analytics-Engineering Exam Syllabus Topics:

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

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dbt Labs dbt Analytics Engineering Certification Exam Sample Questions (Q327-Q332):

NEW QUESTION # 327
(Multiple Select)

A. Update the packages_yml file to point to your forked version of the package.
B. Switch to a different dbt package offering similar functionality.
C. Submit an issue to the package's GitHub repository if its open-source.
D. Temporarily override the buggy macro or model within your dbt project.

Answer: C,D

Explanation:
Contributing to open-source is great, but you likely need an immediate fix. Overriding gives you control while addressing the issue upstream. Forking is feasible, but the maintenance burden might outweigh the benefits.

NEW QUESTION # 328
You're onboarding a new dbt project to an existing production database. You find tables that might conflict with naming conventions used by dbt. What's a proactive way to handle this?

A. Add configuration settings to your database connection profile instructing dbt to use a specific schema prefix.
B. Manually rename the conflicting tables in the database prior to running any dbt jobs.
C. Update your dbt models to use aliases that avoid the name collisions.
D. Customize the schema property in your dbt_project.yml to namespace dbt-generated objects.

Answer: D

Explanation:
A isolates dbt's output in a dedicated way. B is less common, C risks breaking existing applications, D is more tedious.

NEW QUESTION # 329
You're planning your production dbt deployment strategy. When deciding between completely separate development and deployment environments vs. using different schemas within a single data warehouse, what are I key factors to weigh?

A. Your data warehouse's pricing model and how it charges for resource usage.
B. The complexity of your dbt project and the number of models.
C. The need to collaborate between developers with varying skill levels.
D. The desired level of isolation and access control granularity.

Answer: A,C,D

Explanation:
B speaks to security and change management. C is important as the cost could differ considerably. D influences the need for stronger isolation. A is less important than the others here.

NEW QUESTION # 330
Your dbt project contains sensitive dat
a. You need to load seed data (e.g., lookup tables) while ensuring it's not accidentally committed to version control. How can you best achieve this?

A. Write the seed data into log files, excluding them from version control.
B. Utilize environment variables to store seed data values.
C. Employ a secrets management tool and integrate it with your dbt deployment.
D. Create separate seed files and add them to your .gitignore or equivalent.

Answer: D

Explanation:
Seed files designed for local use should be kept out of version control. While the other options have merits, they don't directly prevent sensitive data from being committed.

NEW QUESTION # 331
You've included some custom visualizations within your dbt project documentation (e.g., network graphs) but notice they don't render correctly when the site is generated. What might be the cause?

A. The dbt docs generate command has a strict limit on the file size of visualizations it can process-
B. Custom visualizations usually require additional JavaScript libraries to be included.
C. Your visualization definitions haven't been configured correctly in the project YAML files
D. Custom visualizations are not directly supported by dbt's built-in documentation.

Answer: B,C

Explanation:
A: Custom visualizations often rely on external libraries that need to be included in the generated HTML for them to function. B: Some visualizations might require specific settings in your dbt_project.yml or model files for correct rendering.

NEW QUESTION # 332
......

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