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dbt Labs dbt-Analytics-Engineering Exam Syllabus Topics:

Section	Weight	Objectives
Creating and Maintaining Documentation	10%	- Documentation standards - Descriptions and metadata - Generating documentation
Implementing dbt Tests	10%	- Built-in tests - Test configuration and execution - Custom tests
Developing dbt Models	20%	- Model optimization 1. Model contracts 2. Performance tuning - Model design and structure 1. Materialization types 2. Ref and source functions 3. Incremental models
dbt Models Governance	15%	- Naming conventions and standards - Project organization and structure - Version control integration
Managing Data Pipelines	15%	- Pipeline orchestration - Deployment strategies - CI/CD integration
Leveraging dbt State	5%	- State-aware operations - State management
External Dependencies	10%	- External sources integration - Using packages - Managing snapshots
Debugging and Error Resolution	15%	- Identifying modeling errors - Resolving data quality issues - Debugging techniques

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dbt Labs dbt Analytics Engineering Certification Exam Sample Questions (Q279-Q284):

NEW QUESTION # 279
A new dataset is loaded into your warehouse as a table daily. You need to create a dbt source for it. Which is the MOST essential element to include in your configuration?

A. An enabled flag set to 'True'
B. A detailed description in the dbt_projectyml.
C. A source freshness check.
D. Schema and table name.

Answer: D

Explanation:
At a minimum, dbt needs to know where to find this source table. Freshness checks and others are valuable but not strictly required for the source to function.

NEW QUESTION # 280
A colleague asks, "Why do we need dbt docs when we already have good database documentation?" Provide a compelling response.

A. dbt docs is mandatory for version control with dbt projects.
B. dbt docs generates dynamic documentation that directly reflects your project's dependencies and current state.
C. dbt docs primarily serves as a replacement for dbt seed.
D. dbt docs automatically tracks model testing results.

Answer: B

Explanation:
Highlight how dbt docs offers up-to-date, project-specific documentation, while traditional database documentation can easily become outdated.

NEW QUESTION # 281
You're refactoring a dbt project with circular dependencies (e.g., Model A references Model B, which references Model A).
Select the most appropriate strategy:

A. Add the -full-refresh flag to dbt run to force execution.
B. Rewrite SQL logic to remove the circular references.
C. Introduce a redundant intermediate model to resolve the circularity.
D. Create snapshots to break the dependency chain.

Answer: B

Explanation:
Circular dependencies are a fundamental design flaw. 'Snapshots' and -full-refresh are workarounds. Introducing redundant models creates maintenance overhead.

NEW QUESTION # 282
Your data warehouse is undergoing a migration to a different vendor (e.g., Snowflake to BigQuery). Which category of tools might play a critical role in ensuring a smooth transition of your dbt project?

A. Data virtualization tools
B. dbt adapters
C. SQL dialect translation tools
D. Cloud infrastructure management tools

Answer: B,C

Explanation:
C is key because SQL dialects differ subtly between databases, and a translator can help with compatibility. D is important because dbt adapters provide the 'bridge' between dbt and the specific warehouse technology.

NEW QUESTION # 283
You run the command:
dbt test --select 'test_type:singular'
What will the command run?
Options shown:

A. macro_stg_tpch_orders_assert_pos_price
macro_stg_tpch_suppliers_assert_pos_acct_bal
stg_tpch_orders_assert_positive_price
B. furniture_customers_test
stg_tpch_orders_assert_positive_price
Choose 1 option.
C. furniture_customers_test
macro_stg_tpch_orders_assert_pos_price
macro_stg_tpch_suppliers_assert_pos_acct_bal
stg_tpch_orders_assert_positive_price
D. furniture_customers_test

Answer: A

Explanation:
In dbt, singular tests are custom SQL tests that live as standalone .sql files inside the root /tests directory, not inside /tests/generic. A singular test returns rows that indicate failure, and dbt runs the SQL directly as written. Generic tests, on the other hand, live inside the /tests/generic folder and are YAML-based macro- driven tests.
From your test folder structure (shown in the original screenshot), the following SQL files exist:
Inside /tests/generic/
* furniture_customers_test.sqlThis file is a generic test, not singular.
Inside the root /tests directory:
* macro_stg_tpch_orders_assert_pos_price.sql
* macro_stg_tpch_suppliers_assert_pos_acct_bal.sql
* stg_tpch_orders_assert_positive_price.sql
These are singular tests, because they are standalone SQL files in the tests root folder.
When you run:
dbt test --select 'test_type:singular'
dbt filters for only tests classified as singular. It ignores generic tests entirely.
Therefore, only the following 3 tests will run:
* macro_stg_tpch_orders_assert_pos_price
* macro_stg_tpch_suppliers_assert_pos_acct_bal
* stg_tpch_orders_assert_positive_price
This matches Option C, making it the correct answer.

NEW QUESTION # 284
......

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