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dbt Labs dbt-Analytics-Engineering Exam Syllabus Topics:

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

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dbt Labs dbt Analytics Engineering Certification Exam Sample Questions (Q163-Q168):

NEW QUESTION # 163
You run this command:
dbt build --select "source_status:fresher+" --state path/to/prod/artifacts Which two need to happen before it can be executed successfully?
Choose 2 options.

A. Invoke either dbt run or dbt build.
B. Test your sources with dbt test.
C. Invoke the command: dbt source freshness.
D. Add generic tests to your sources.
E. Define a freshness block on your source(s).

Answer: C,E

Explanation:
The selector source_status:fresher+ depends entirely on freshness metadata created by a previous dbt source freshness run. Source freshness results are stored in artifacts, and the --state flag points dbt to the location where these artifacts were previously generated. Without first running dbt source freshness, dbt has no stored freshness status and therefore cannot filter sources by "fresher" status. This makes option A required.
Additionally, source freshness checks only work when sources include a freshness block in their YAML configuration. This block specifies the loaded_at_field and the warn_after / error_after thresholds. If no freshness block exists, dbt does not compute freshness at all, meaning such sources cannot appear in the source_status:fresher+ selector. Therefore D is also required.
Options B and E are unrelated to source freshness artifacts and do not contribute to the preconditions for this selector. Option C does not impact freshness logic, as generic tests have no role in generating freshness metadata.
Thus, the two prerequisites are:
* Running dbt source freshness (to create freshness metadata).
* Defining a freshness configuration on the relevant sources.

NEW QUESTION # 164
You try updating a column description using its corresponding YAML file. After regenerating the docs, the update doesn't appear. Which of the following might be the cause?

A. Your browser is aggressively caching the documentation site.
B. There could be a syntax error within the updated description that dbt is silently ignoring.
C. Changes in column descriptions only update the database schema, not the project documentation.
D. The column description might need additional configuration with a test for it to render in the docs.

Answer: A,B

Explanation:
A: Aggressive browser caching can sometimes prevent updates from being reflected. C: Even small syntax errors in YAML can lead to dbt ignoring certain elements during the documentation generation process.

NEW QUESTION # 165
(Multiple Select)

A. Avoiding excessive use of UNION operations, especially within loops.
B. Leveraging appropriate indexes on columns used in joins and WHERE clauses.
C. Using SELECT * whenever possible to avoid explicitly specifying needed columns.
D. Preferring correlated subqueries over joins when relationships are one-to-one.

Answer: A,B

Explanation:
UNION operations can be expensive. Indexing is essential for query optimization. SELECT * and correlated subqueries are generally less performant.

NEW QUESTION # 166
You need to override a source description at the model level. How would you achieve this most effectively?

A. Utilize a Jinja macro to dynamically construct the description based on specific conditions.
B. You cannot override a source description directly in the model.
C. Use the meta configuration in your model file to provide an alternative description.
D. Create a separate column in the source with a model-specific description.

Answer: C

Explanation:
The meta configuration can be used to override source descriptions and other metadata at the model level. However, make sure to check the documentation for your specific dbt version, as the exact way to do this might vary_

NEW QUESTION # 167
You're working on a dbt project in a development environment where compute resources are limited. You want to prototype a new model quickly without incurring high materialization overhead. Which materialization would be most suitable for this?

A. Table
B. Snapshot
C. Ephemeral
D. Incremental

Answer: C

Explanation:
Ephemeral materializations are ideal for rapid development. Since they don't persist results, you can iterate on your model's logic without worrying about storage and the compute cost of rebuilding.

NEW QUESTION # 168
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