dbt Labs dbt-Analytics-Engineering Official Practice Test, New dbt-Analytics-Engineering Exam Questions

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dbt Labs dbt-Analytics-Engineering Exam Syllabus Topics:

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

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dbt Labs dbt Analytics Engineering Certification Exam Sample Questions (Q86-Q91):

NEW QUESTION # 86
You need to grant readonly access to a new stakeholder on a specific dbt model's output. What factors should influence your approach?

A. Whether you wish to provide direct table access or a view-based interface.
B. The default materialized setting defined for models in your dbt_project_yml file.
C. If this is a one-time need, or something requiring scalable permission management.
D. The database technology and its permissions model.

Answer: A,C,D

Explanation:
Each of these shapes the specific implementation-A impacts how you'll write the GRANT. B is about a layer of control. C is about ad-hoc vs. integrated security.

NEW QUESTION # 87
Which of the following scenarios might warrant you using the --no-compile flag with dbt docs generate? When you have syntax errors in your dbt models that would prevent compilation.

A. recompilation.
B. When you want to quickly preview documentation changes without triggering a full model build.
C. When your CI/CD pipeline requires you to generate documentation as a separate step from model compilation.
D. When you're deploying documentation updates to a production environment and want to minimize risks associated with model

Answer: A,C,D

Explanation:
B: The -no-compile flag speeds up docs generation when a full model build is unnecessary- C: It isolates documentation updates in production environments to reduce risk.
D: This flag provides control within CIICD pipelines when needed

NEW QUESTION # 88

Answer:

Explanation:

Explanation:
(new_project)
(models:)
(grants)
(require-dbt-version: '>= 1.0.0' )
The dbt_project.yml file acts as the configuration backbone for every dbt project. dbt requires that project names follow a strict naming convention, allowing only lowercase letters, numbers, and underscores.
Therefore, new_project is the only valid name among the choices. Names with spaces or hyphens, such as new project or new-project, violate dbt's project naming rules.
To configure how models behave-materializations, schemas, tags, or per-directory overrides-dbt uses the models: block inside dbt_project.yml. This block defines configuration inheritance rules and is different from the config() function, which is used inside SQL models, not in YAML files.
When granting permissions on database objects created by dbt, you use the grants configuration. This allows you to define access roles at the model level or project level for downstream BI or analytics tools, ensuring proper data governance and controlled data exposure.
Finally, compatibility with specific dbt versions is set using require-dbt-version. The correct YAML formatting uses quotes, such as '>= 1.0.0', ensuring dbt interprets the value as a string. This prevents accidental mis-parsing and enforces version requirements during dbt run or dbt build.

NEW QUESTION # 89
(Multiple Select)

A. Scheduling less frequent jobs using dbt Cloud's built-in job scheduler
B. Integrating dbt with your CI/CD tool and using job-specific triggers or filters.
C. Implementing pre-hooks and post-hooks to perform tasks before and after dbt model execution.
D. Using separate dbt profiles for production and development environments

Answer: A,B,D

Explanation:
A enables environment-specific commands. B provides a way to launch different jobs. C handles scheduled tasks within dbt Cloud.

NEW QUESTION # 90
Your dbt project contains a series of interlinked models (A, B, C, D) where some models have downstream dependencies on upstream models. While running dbt run, model C fails due to a data validation test you added. Which of the following statements are potentially true?

A. The failure of Model C triggers an automatic rollback of Model A and Model B.
B. Model A and Model B are unaffected and have the most up-to-date data.
C. Model C has stale data but can still be queried.
D. Model D cannot be built until the issue with Model C is resolved.

Answer: B,C,D

Explanation:
A is true because upstream models that successfully complete are unaffected by downstream failures. B is true due to the dependency structure of the DAG. Model D cannot be created if its prerequisite, Model C, fails. C is false. dbt models don't automatically roll back upon failure unless you explicitly program this. D is true. Even though the model wasn't created successfully, the prior version (if it existed) remains in the warehouse

NEW QUESTION # 91
......

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