Free PDF dbt Labs - dbt-Analytics-Engineering - dbt Analytics Engineering Certification Exam Updated Interactive Practice Exam

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dbt Labs dbt-Analytics-Engineering Exam Syllabus Topics:

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

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dbt Labs dbt Analytics Engineering Certification Exam Sample Questions (Q158-Q163):

NEW QUESTION # 158

Answer:

Explanation:

Explanation:
Drops and recreates a definition of a query which is executed at the time it's referenced
# view
Inserts or updates records of an existing object in the warehouse using a delta
# incremental
Code belonging to the model is inserted into the places the model is referenced
# ephemeral
Drops and recreates an object in the warehouse as stored results when using dbt run
# table

NEW QUESTION # 159
(Multiple Select)

A. You have a very simple filter that is applied to just a small subset of models.
B. You detect a frequently-used, non-trivial SQL transformation pattern across multiple models.
C. You need to perform data type conversions for a specific set of columns.
D. Your data warehouse has a non-standard SQL function used in various reporting dashboards.

Answer: B,D

Explanation:
Macros shine in encapsulating recurring complex logic and providing a convenient interface for database-specific functionality. Simple filters might not justify the overhead of a macro.

NEW QUESTION # 160
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. The complexity of your dbt project and the number of models.
B. The desired level of isolation and access control granularity.
C. The need to collaborate between developers with varying skill levels.
D. Your data warehouse's pricing model and how it charges for resource usage.

Answer: B,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 # 161
You're ready to integrate your feature branch into the main branch. Which scenarios would necessitate a pull request and code review process?

A. In all dbt projects, pull requests should be mandatory.
B. You are working in a collaborative team environment with established quality control practices.
C. You are the only contributor to the dbt project.
D. You are working on a personal dbt project.

Answer: A,B

Explanation:
C: Code reviews are crucial in collaborative settings for improving quality and sharing knowledge. D: While not strictly mandatory always, pull requests are a best practice even when working alone as they encourage structured change tracking-

NEW QUESTION # 162
Your team establishes a policy for handling different levels of test failures (e.g., warnings vs. critical errors). How could you implement this policy effectively within your dbt workflows?

A. Use custom severity levels in your test definitions and a post-hook to manage actions accordingly.
B. Use dbt tags for classifying tests, then selectively execute them.
C. Rely on your data observability platform to differentiate and alert based on dbt test results.
D. Run dbt test multiple times with varying filters based on desired severity levels.

Answer: A,B,C

Explanation:
Each provides a mechanism to act upon varying severity levelsA leverages dbt's built-in features- C integrates with external monitoring tools. D offers flexible execution control.

NEW QUESTION # 163
......

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