dbt-Analytics-Engineering Exam Preparatory: dbt Analytics Engineering Certification Exam & dbt-Analytics-Engineering Test Questions

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dbt Labs dbt-Analytics-Engineering Exam Syllabus Topics:

Section	Objectives
Topic 1: Testing and Data Quality	- Data validation strategies 1. CI-based validation workflows 2. Schema testing practices - Built-in and custom tests 1. Generic tests (unique, not null, relationships) 2. Custom SQL tests
Topic 2: Analytics Engineering Foundations	- SQL proficiency for analytics 1. Joins, aggregations, and window functions 2. Data modeling in SQL - Modern data stack concepts (ELT vs ETL) 1. Warehouse-centric transformation workflows 2. Role of dbt in analytics engineering
Topic 3: Deployment and Orchestration	- Environments and workflows 1. Version control with Git 2. Development vs production environments - Running dbt in production 1. CI/CD integration patterns 2. dbt Cloud and job scheduling
Topic 4: dbt Core Concepts	- Project structure and configuration 1. dbt_project.yml configuration 2. Packages and dependencies - Models and materializations 1. Views, tables, incremental models 2. Ref and source functions
Topic 5: Documentation and Lineage	- Data lineage understanding 1. Dependency tracking with ref() 2. Directed acyclic graph (DAG) - dbt documentation system 1. Model descriptions and metadata 2. Auto-generated docs site

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dbt Labs dbt Analytics Engineering Certification Exam Sample Questions (Q183-Q188):

NEW QUESTION # 183
(Multiple Select)

A. The need for feature parity (functions, syntax) with the production warehouse.
B. The overall size and complexity of your dbt project
C. The technology used for your production data warehouse.
D. The cost-efficiency of the development environment solution.

Answer: A,C,D

Explanation:
A ensures compatibility and consistent developer experience. B avoids excessive development costs. C prevents surprises when porting code- D influences the scale of resources you need in development.

NEW QUESTION # 184
You encounter the following error when running dbt compile:Runtime Error in model customer _ churn (models/transformations/customer_churn.sql)

A. The fct_orders source is not configured correctly in your dbt_project.yml file.
B. You need to add a schema test to validate the existence of the fct orders table.
C. There's a typo in how you're referencing the fct_orders object in your SQL.
D. The fct_orders model depends on other models that haven't compiled successfully.

Answer: C

Explanation:
Explanation: This is a runtime error indicating incorrect usage of fct_orders. Options A and C could cause errors but of a different nature. Schema tests won't fix a referencing error.

NEW QUESTION # 185
During a code review, a collaborator suggests modifying a small portion of code you had already committed to your feature branch. What's the most efficient way to address this without creating a completely new commit?

A. Explain to your collaborator that modifying committed code is not recommended, and the change should wait for a future update.
B. Use git revert to undo your previous commit, make the change, and then re-commit.
C. Create a new branch extending from your feature branch, make the change, and open a separate pull request.
D. Use git commit -amend to modify your most recent commit.

Answer: D

Explanation:
Git commit -amend allows seamless modification of your most recent commit, preserving a clean commit history.

NEW QUESTION # 186
Your company wants to standardize pull request templates. Which information would be beneficial to include in such a template?

A. Specific instructions for the reviewer, if certain aspects need special attention.
B. Checkboxes for confirming that tests have been run and documentation has been updated if necessary.
C. A section to link to relevant design documents or specifications.
D. All of the above.

Answer: D

Explanation:
A: Checklists ensure core quality steps are followed. B: Linking design documents provides context for reviewers. C: Guidance helps reviewers focus their feedback.

NEW QUESTION # 187
You have created a model called stg_tasks and now you need to implement tests.
You provide this in schema.yml:
version: 2
models:
- name: stg_tasks
columns:
- name: completed_at
tests:
- not_null:
- config:
where: "state = 'completed'"
You receive this compilation error:
[WARNING]: Did not find matching node for patch with name 'stg_tasks' in the 'models' section of file
'models/example/schema.yml'
How can you change the configuration on the not_null test to fix this compiler error?

A. tests:
- not_null:
- config:
where: "state = 'completed'"
Choose 1 option.
B. tests:
- not_null:
- config:
where: "state = 'completed'"
C. tests:
- not_null:
config:
where: "state = 'completed'"
D. tests:
- not_null:
config:
where: "state = 'completed'"

Answer: C

Explanation:
In dbt, when you configure a generic test like not_null in YAML, the configuration for that test must be a mapping, not another list item. The correct structure is:
tests:
- not_null:
config:
where: "state = 'completed'"
In your original YAML, you wrote:
tests:
- not_null:
- config:
where: "state = 'completed'"
The extra dash (- config) makes config an element of a list rather than a key under the not_null test. This breaks the expected shape of the test definition. When dbt parses the schema.yml, it fails to correctly interpret the patch for the stg_tasks model, which leads to the warning: "Did not find matching node for patch with name 'stg_tasks'...".
By removing the extra dash and nesting config directly under not_null, dbt now reads this as a single generic test named not_null with a config block that passes the where argument. This allows dbt to correctly attach the test to the completed_at column of the stg_tasks model and eliminates the compiler warning.
Therefore, Option B is the only structurally valid configuration and is the correct answer.

NEW QUESTION # 188
......

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