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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%	- Writing and managing SQL models - Snapshots - Sources and references - Seeds - Materializations (table, view, ephemeral, incremental)
Topic 3: dbt Fundamentals	15%	- dbt project structure - dbt Core vs dbt Cloud - dbt workflow and best practices
Topic 4: Deployment and Orchestration	15%	- Jobs and scheduling in dbt Cloud - Environments (dev, staging, prod) - Git version control integration - CI/CD with dbt Cloud
Topic 5: Data Transformation Techniques	25%	- Jinja templating - Common table expressions and subqueries - Macros and packages - Refactoring and incremental models

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dbt Labs dbt Analytics Engineering Certification Exam Sample Questions (Q315-Q320):

NEW QUESTION # 315
(Multiple Select)

A. A 'post-hook' in your project configuration automatically fixes the issues flagged by tests.
B. Your tests are likely configured to raise warnings rather than cause true errors.
C. Tests must be explicitly included in a model's test property for them to block model creation.
D. Your dbt run command includes flags that override failing tests.

Answer: B,D

Explanation:
A is a common pattern to allow non-critical tests to provide information without necessarily halting the process. C Certain dbt flags can force execution even when tests fail. B is incorrect; tests apply without model-specific references. D is unlikely (unless you have very sophisticated automation')

NEW QUESTION # 316
After adding several new models to your project, you want to execute only those models and their direct dependencies. Which command combination best achieves this?

A. dbt run -models +model namel +model name2 ...
B. dbt run followed by dbt test
C. dbt run -exclude model namel model name2
D. dbt build

Answer: A

Explanation:
The + syntax with dbt run allows you to specify models and their upstream dependencies. Dbt build encompasses run and test along with snapshot execution.

NEW QUESTION # 317
(Multiple Select)

A. The source has multiple tables with related schemas requiring standardization.
B. You need to apply custom column-level transformations to a raw source.
C. You want to test different loading strategies for a large source table.
D. The source data is sensitive and requires role-based access control.

Answer: A,B

Explanation:
yml files allow for complex source schemas and column transformations. Access control and loading strategies are usually handled at the database or project-level configuration.

NEW QUESTION # 318
Which of the following is true about restricting the usage of models in dbt?
Choose 1 option.

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

Answer: D

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 # 319
You've added detailed descriptions to your sources.yml file. Which of the following scenarios would still necessitate adding descriptions directly within your model files?

A. If different models utilize the same source table for different purposes.
B. You always need both source and model-level descriptions for complete documentation.
C. If the source table undergoes a schema change, and you want to document these changes historically within the model.
D. If you want to provide additional context or logic specific to how a source is used within that model.

Answer: A,C,D

Explanation:
A: Model descriptions allow for tailored explanations on how a source table is specifically used within the context of the model. B: Maintaining historical context of changes directly within the model can be valuable for traceability. C: Differing model use cases can warrant distinct descriptions for the same source table.

NEW QUESTION # 320
......

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