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dbt Labs dbt-Analytics-Engineering Exam Syllabus Topics:

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

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dbt Labs dbt Analytics Engineering Certification Exam Sample Questions (Q78-Q83):

NEW QUESTION # 78
Which two code snippets result in a lineage line being shown in the DAG? Choose 2 options.

A. dbt_jsmith.stg_jaffle_shop__customers
B. {{ source('source', 'table') }}
C. {{ ref('stg_jaffle_shop__customers') }}
D. {{ source('jaffle_shop.customers') }}
E. {{ target.schema }}

Answer: B,C

Explanation:
In dbt, the Directed Acyclic Graph (DAG) is created from model dependencies, which dbt identifies only through two mechanisms: the ref() function for referencing dbt models and the source() function for referencing declared sources. These functions are explicitly designed to tell dbt how models relate to each other so that dbt can track lineage, enforce build order, and generate documentation.
Option A, {{ source('source', 'table') }}, correctly references a declared source. Any model using source() establishes an upstream dependency on that source table. dbt will therefore draw a lineage line in the DAG from the source to the model.
Option B, {{ ref('stg_jaffle_shop__customers') }}, is the canonical way to reference another dbt model. ref() ensures dbt determines dependencies at compile time, and thus creates a DAG edge between this model and its parent.
The remaining options do not create lineage:
* C directly references a database object, which dbt cannot interpret as a dependency.
* D uses a Jinja variable unrelated to lineage.
* E is invalid, because source() requires two arguments: a source name and table name, not a dotted string.
Therefore, A and B are the only valid answers.

NEW QUESTION # 79
A team member has opened a pull request, but conflicts arise when you attempt to merge it. Which of the following are essential steps in the conflict resolution process?

A. All of the above.
B. Manually edit the affected files in your favorite text editor to resolve the differences.
C. Utilize Git's built-in merge conflict markers to identify areas of disagreement
D. Communicate with your team member to understand the intent behind the conflicting changes.

Answer: A

Explanation:
A: You'll need to carefully edit files to combine the changes correctly. B: Git conflict markers visually highlight where conflicts need to be addressed. C: Communication is key to determining the best way to reconcile conflicting changes and maintain code intent.

NEW QUESTION # 80
Logic Error

A. Create a separate branch specifically for addressing this issue.
B. Write new unit tests that specifically target the faulty calculation logic with various input scenarios.
C. Adjust the model's SQL query and re-run it to observe the changes in output.
D. Deploy the modified model to a development or staging environment.

Answer: C

Explanation:
Branching creates an isolated workspace, unit tests proactively define expected results, then you modify the code, and finally, you deploy to a non-production environment for further testing.

NEW QUESTION # 81
You've defined a complex custom singular test. While testing it initially on a development dataset, it times out. Which optimization techniques might be worth trying?

A. Rewrite the test using a dbt macro for better maintainability.
B. Disable the test in production environments and run it only in development.
C. Ensure the test SQL uses appropriate indexes in the underlying database.
D. Remove any redundant joins or subqueries from the test logic.

Answer: C,D

Explanation:
A and C target improving query performance. B deals with code organization, not speed. D sacrifices data quality for speed

NEW QUESTION # 82
(Multiple Select)

A. Integrate a specialized data lineage tool that tracks dependencies down to the database level..
B. Configure dbt to log all executed SQL statements with sufficient metadata for auditing.
C. Leverage your data warehouse's built-in auditing or change tracking features, if available.
D. Enable version control on your dbt_project.yml file and related configuration.

Answer: A,B,C,D

Explanation:
Each of these provides some level of tracking:A for dbt project changes. B at the database level (if the feature exists). C for comprehensive lineage insights. D for a granular view of dbt activity.

NEW QUESTION # 83
......

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