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dbt Labs dbt-Analytics-Engineering Exam Syllabus Topics:

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

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dbt Labs dbt Analytics Engineering Certification Exam Sample Questions (Q30-Q35):

NEW QUESTION # 30
You're onboarding new developers to your dbt project. To simplify their setup, you want to provide a standard profiles.yml template. What should you consider when doing this?

A. Providing example dbt commands as comments directly within the file to guide new users.
B. Referencing environment variables to allow for easy customization by developers.
C. Prepopulating common credentials to make the initial setup hassle-free.
D. Including different target configurations to illustrate switching between development and production.

Answer: A,B,D

Explanation:
B promotes flexibility and security (avoids storing sensitive data). C demonstrates good practices. D enhances usability A is a major security risk!

NEW QUESTION # 31
While reviewing a dbt project, you notice a pattern where ref() calls are chained together:
Model A references Model B, which in turn references Model C.
What's a potential downside of this pattern?

A. Version control conflicts become more likely.
B. Decreased performance due to unnecessary materializations.
C. Test results might become less reliable.
D. Model dependencies become harder to track and understand.

Answer: D

Explanation:
While chaining ref() calls works technically, it can quickly make dependency tracking overly complex, especially in larger projects.

NEW QUESTION # 32
You frequently need to implement custom SQL tests that are very similar but with slight variations in parameters. Which dbt feature could streamline this process?

A. dbt macros
B. dbt seeds
C. The relationships test
D. dbt snapshots

Answer: A

Explanation:
Macros are ideal for parameterizing reusable test logic, making it easy to adapt the tests without excessive copy-pasting.

NEW QUESTION # 33
You discover that dbt models create objects with the default database user's permissions. However, a policy mandates that analytics objects must be owned by a dedicated, less privileged account. How could you adapt your dbt workflow?

A. Implement pre-hooks or post-hooks to execute ALTER OWNER statements after model creation.
B. Configure the target database to automatically assign desired ownership to new objects in the schema
C. Modify your dbt profile to use the less privileged account's credentials during job execution.
D. Write dbt macros that contain permission management logic as part of the model deployment.

Answer: A,C

Explanation:
A gives direct control within dbt C changes what dbt "does" by running as a different user- B might exist but be too broad, D overcomplicates models.

NEW QUESTION # 34
Which two are true about dbt tests?
Choose 2 options.

A. Tests can be built as .sql files within the /tests/ folder.
B. You can apply dbt's native tests using the constraints configuration in the model's YAML.
C. Tests for unique and not_null are automatically applied on the primary key of the table.
D. dbt ships natively with unique, not_null, relationships, and accepted_values tests.
E. The full list of tests that can be applied natively can be found on dbt's package hub.

Answer: A,D

Explanation:
The correct answers are C and D.
dbt supports two main categories of tests: generic tests and singular tests. Generic tests are defined in YAML and applied to models or columns, while singular tests are written as SQL files placed in the /tests/ directory.
This makes Option C correct-singular tests must be created as .sql files inside that folder, and dbt will execute each file as a test query.
Option D is also correct. dbt includes four built-in generic tests: unique, not_null, relationships, and accepted_values. These are considered "native" tests and are available without requiring any additional packages. They cover the most common data quality checks and are applied through YAML configurations on models or columns.
Option A is incorrect because dbt does not automatically apply any tests. All tests-native or custom-must be explicitly defined in YAML or created manually. Nothing is inferred from primary keys.
Option B is incorrect because dbt's package hub contains community packages, not the list of native tests.
Native tests are documented directly within dbt's core functionality.
Option E is incorrect because the constraints configuration is used to create database-level constraints on supported warehouses, not to run dbt tests. Tests still require YAML test definitions or .sql files.
Thus, only C and D accurately describe dbt's testing behavior.

NEW QUESTION # 35
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