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dbt Labs dbt-Analytics-Engineering Exam Syllabus Topics:

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

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dbt Labs dbt Analytics Engineering Certification Exam Sample Questions (Q60-Q65):

NEW QUESTION # 60
28. Consider this DAG:
* model_a # model_c # model_e
* model_b # model_d # model_f
(With model_c and model_d both feeding into the final layer.)
You execute:
dbt run --fail-fast
in production with 2 threads. During the run, model_b and model_c are running in parallel when model_b returns an error.
Assume there are no other errors in the model files, and model_c was still running when model_b failed.
Which model or models will successfully build as part of this dbt run? Choose 1 option.

A. model_a
B. model_a, model_c, model_d, model_e, model_f
C. model_a, model_c
D. model_a, model_c, model_e

Answer: C

Explanation:
The --fail-fast flag tells dbt to stop scheduling any new nodes as soon as one node fails. Importantly, dbt does not kill models that are already running; in-flight nodes are allowed to finish.
Here's what happens step by step with 2 threads:
* Roots model_a and model_b start first.
* model_a finishes successfully. That makes model_c eligible to run.
* dbt now runs model_b and model_c in parallel.
* While they are running, model_b fails.
* Because --fail-fast is set, dbt immediately stops scheduling any additional models (like model_d, model_e, or model_f).
* model_c was already running when model_b failed, so it is allowed to complete successfully.
Downstream models of either branch (model_d, model_e, and model_f) never start, because fail-fast prevents any further nodes from being queued after the first failure.
So, the only models that successfully build during this run are:
* model_a (completed before model_b failed)
* model_c (already running at the time of failure and allowed to finish) Hence the correct choice is B: model_a, model_c.

NEW QUESTION # 61
Code Review

A. An updated lineage graph produced by dbt docs generate to visualize the fix's impact on dependencies.
B. An explanation of the error's root cause and the reasoning behind your chosen solution.
C. A second reviewer assigned specifically to assess the potential side effects of the fix.
D. Additional schema tests on the model to prevent similar issues from recurring.

Answer: B

Explanation:
Contextualizing the fix is crucial during code review. Docs, tests, and additional reviews are fantastic but might not always be feasible within time constraints.

NEW QUESTION # 62
Which of the following is NOT a direct benefit of thorough source, table, and column descriptions in dbt?

A. Increased discoverability for other team members working on the project
B. Better data quality due to the automated enforcement of column descriptions
C. Improved lineage and data traceability within the documentation.
D. Faster dbt model compilation and execution times.

Answer: D

Explanation:
Explanation: While good descriptions have numerous benefits, they don't inherently speed up model compilation and execution within dbt-

NEW QUESTION # 63
you're working with a dbt project where a central model fct_orders is refactored. Several downstream models rely on this fact table. Which of the following is the MOST efficient way to determine which downstream models might be affected by this change?

A. Execute dbt run and observe for errors.
B. Manually review the code of all downstream models.
C. Run dbt test to see which tests might fail.
D. Utilize the dbt docs generate and dbt docs serve commands.
E. Use the dbt Is command to generate a lineage graph.

Answer: D

Explanation:
While options B, D, and E can indirectly hint at broken models, they're not the most efficient methods. The dbt docs commands allow you to directly visualize and explore dependencies within your dbt project, making it the ideal choice for this scenario.

NEW QUESTION # 64
A team member suggests building a dbt package for a set of reusable transformations your team frequently uses. When is this MOST likely a good idea?

A. The transformations are relatively simple and could be written as macros.
B. The transformations are complex and involve domain-specific logic that might be beneficial to others.
C. You need to limit access to these transformations to a specific team within your organization.
D. The transformations are project-specific but used across multiple models.

Answer: B

Explanation:
Sharing common, complex logic is a key reason for creating packages. Simple logic is better as macros. Project-specificity favors macros or CTEs. Packages arent ideal for access control.

NEW QUESTION # 65
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