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dbt Labs dbt-Analytics-Engineering Exam Syllabus Topics:

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

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dbt Labs dbt Analytics Engineering Certification Exam Sample Questions (Q52-Q57):

NEW QUESTION # 52
The results of a dbt model contain values outside the expected range. You suspect an issue with Jinja templating. Where might this issue originate?

A. In a macro used by the model.
B. In the model's SQL, where you're using Jinja for calculations or dynamic logic.
C. All of the above.
D. Within a dbt_projectyml model or source configuration.

Answer: C

Explanation:
Jinja templating can exist in your project configuration files, macros, and the model SQL itself.

NEW QUESTION # 53
You identify the need to refactor several models with similar transformations. Which of the following is the first step to increase modularity and promote the DRY philosophy?

A. Use a text editor's "find and replace" function to update repetitive code blocks.
B. Analyze commonalities and differences in the transformations to determine refactoring potential.
C. Test individual models thoroughly to establish a baseline before making changes.
D. Create CTEs to segment logical steps within the existing model SQL.

Answer: B

Explanation:
Understanding the shared and unique aspects of the transformations is key to designing an effective modularization strategy.

NEW QUESTION # 54
Which of the following is true about restricting the usage of models in dbt?
Choose 1 option.

A. Restrictions are set by defining the models and Git user groups approved for usage.
B. You must map your data platform roles to groups by specifying the role name in the configurations.
C. Model groups can limit references by other models which aren't in the same group.
D. Data platform user emails can be used to determine who can reference a model.

Answer: C

Explanation:
The correct answer is C: Model groups can limit references by other models which aren't in the same group.
According to the dbt documentation, dbt provides a formal access-control mechanism for models through model groups and the access property. Models can be assigned to groups, and each model can be marked as public, protected, or private. The purpose of this system is to create clear boundaries within a project, making it possible to control which models are allowed to reference others. Specifically, dbt enforces rules where models in a group can restrict references from models outside that group, which helps maintain modularity and prevents accidental coupling of unrelated data layers. This is extremely valuable in large analytics engineering projects where teams manage different domains or data products.
Option A is incorrect because dbt does not use Git user groups or any form of identity-based access control for model usage. Option B is incorrect because dbt does not integrate with warehouse roles for controlling model references-access is handled strictly within the dbt project's metadata. Option D is incorrect because user emails or platform identities have no role in determining which models can reference others. dbt enforces usage rules only through its metadata-driven grouping and access configuration system.

NEW QUESTION # 55
You receive a compilation error stating:Model depends on a node named 'ref data' which was not found

A. Search for a model named ref_data within your project or any included packages.
B. Check the configuration of the ref_data data source.
C. Examine the SQL within the model where the error occurs for typos or incorrect ref() usage.
D. Review downstream models that might be referencing ref_data incorrectly.

Answer: A

Explanation:
Compilation errors often mean missing dependencies. Start by ensuring ref_data actually exists as a model.

NEW QUESTION # 56
You want to include a detailed lineage diagram in your project documentation. Which of these approaches would you likely consider?

A. Manually create a diagram using a separate tool and add an image reference in a model's description.
B. Configure a third-party dbt package designed for enhanced lineage and visualization.
C. Write a custom macro that generates a lineage diagram and include it in relevant model descriptions.
D. Use the built-in lineage functionality within dbt's standard documentation generation.

Answer: A,B,C

Explanation:
A: For basic needs, a manual approach might be sufficient C: Custom macros provide flexibility in how the lineage is presented. D: Specialized packages offer advanced lineage visualization capabilities-

NEW QUESTION # 57
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