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dbt Labs dbt-Analytics-Engineering Exam Syllabus Topics:

Section	Weight	Objectives
Topic 1: External Dependencies	10%	- Managing snapshots - Using packages - External sources integration
Topic 2: Implementing dbt Tests	10%	- Built-in tests - Test configuration and execution - Custom tests
Topic 3: dbt Models Governance	15%	- Naming conventions and standards - Version control integration - Project organization and structure
Topic 4: Leveraging dbt State	5%	- State management - State-aware operations
Topic 5: Creating and Maintaining Documentation	10%	- Descriptions and metadata - Documentation standards - Generating documentation
Topic 6: Managing Data Pipelines	15%	- Pipeline orchestration - Deployment strategies - CI/CD integration
Topic 7: Developing dbt Models	20%	- Model optimization 1. Performance tuning 2. Model contracts - Model design and structure 1. Materialization types 2. Incremental models 3. Ref and source functions
Topic 8: 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 (Q276-Q281):

NEW QUESTION # 276
You identify the need to refactor several models with similar transformations. Which of the following is the first step to increase modularity and promote the DRY philosophy?

A. Test individual models thoroughly to establish a baseline before making changes.
B. Analyze commonalities and differences in the transformations to determine refactoring potential.
C. Use a text editor's "find and replace" function to update repetitive code blocks.
D. Create CTEs to segment logical steps within the existing model SQL.

Answer: B

Explanation:
Understanding the shared and unique aspects of the transformations is key to designing an effective modularization strategy.

NEW QUESTION # 277
Your model has a contract on it.
When renaming a field, you get this error:
This model has an enforced contract that failed.
Please ensure the name, data_type, and number of columns in your contract match the columns in your model's definition.
| column_name | definition_type | contract_type | mismatch_reason |
|-------------|------------------|----------------|-----------------------|
| ORDER_ID | TEXT | TEXT | missing in definition |
| ORDER_KEY | TEXT | | missing in contract |
Which two will fix the error? Choose 2 options.

A. Remove order_id from the model SQL.
B. Remove order_key from the contract.
C. Remove order_id from the contract.
D. Add order_key to the contract.
E. Add order_key to the model SQL.

Answer: C,D

Explanation:
dbt model contracts enforce that the column names, data types, and number of columns defined in the contract exactly match the columns produced by the compiled SQL. If any column appears in one location (the contract or the SQL) but not in the other, dbt raises an enforcement error.
In this scenario, the error message shows:
* ORDER_ID is missing in the model definition, meaning the SQL no longer contains a column named order_id, but the contract still expects it.
* ORDER_KEY is missing in the contract, meaning the model SQL now contains a new column, but this column has not been added to the contract.
To fix the mismatch, you must remove columns from the contract that no longer exist in the SQL and add to the contract any new columns that now appear in the SQL.
Therefore:
* Option A - Remove order_id from the contract - is correct because the column no longer exists in the model SQL.
* Option D - Add order_key to the contract - is correct because the SQL now produces this column.
Options B and C incorrectly alter the wrong side of the definition, and Option E would create a mismatch in the opposite direction.
Thus, the correct fixes are A and D.

NEW QUESTION # 278
You're collaborating on a branch and need to temporarily switch to a different branch to address an urgent hotfix. Which Git command allows you to save your current uncommitted work without interrupting the changes on your active branch?

A. git stage
B. git reset
C. git stash
D. git push

Answer: C

Explanation:
git stash temporarily stores your uncommitted changes, enabling you to switch branches and later reapply those changes using git stash pop.

NEW QUESTION # 279

Answer:

Explanation:

Explanation:
Update int_order_items by replacing:
* {{ source('tpch', 'orders') }} # {{ ref('stg_tpch_orders') }}
* {{ source('tpch', 'lineitem') }} # {{ ref('stg_tpch_line_items') }}
In dbt's recommended modeling pattern, sources should be referenced only in the staging layer. Downstream models (intermediate and mart/fact models) should reference staging models via ref(), not the raw source() directly. This keeps all raw-to-clean logic centralized in the staging layer and makes refactoring and documentation easier.
In the original DAG, int_order_items depends directly on tpch.orders and tpch.lineitem via source(), and staging models also depend on those same sources. That creates parallel paths from the sources and breaks the clean layered architecture.
By updating the int_order_items SQL to use:
from {{ ref('stg_tpch_orders') }}
join {{ ref('stg_tpch_line_items') }} ...
instead of:
from {{ source('tpch', 'orders') }}
join {{ source('tpch', 'lineitem') }} ...
you ensure that int_order_items sits entirely downstream of the staging layer. The new DAG becomes linear: sources # staging # intermediate (int_order_items) # any further marts. This improves modularity, reusability of cleaned logic, and makes the DAG easier to reason about and maintain.

NEW QUESTION # 280
You define a source table and include an override:YAML

A. The overrides property is not valid for tables within your dbt_project.yml.
B. The value 'my_project' is not a recognized keyword by dbt.
C. The overrides property needs to be defined at the source level, not the table level.
D. You need to create a macro named 'my_project' that contains the specific overriding logic.

Answer: C

Explanation:
While dbt supports overrides, they generally work at higher levels within your project file, not at the model level.

NEW QUESTION # 281
......

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