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Instant Download dbt Labs : dbt-Analytics-Engineering Questions & Answers as PDF & Test Engine

dbt-Analytics-Engineering
  • Exam Code: dbt-Analytics-Engineering
  • Exam Name: dbt Analytics Engineering Certification Exam
  • Updated: Jul 14, 2026
  • No. of Questions: 359 Questions and Answers
  • Download Limit: Unlimited
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dbt Labs dbt Analytics Engineering Certification Sample Questions:

1. You want to include a glossary of terms in your dbt project docs so that users can easily reference definitions. How could you achieve this?

A) Create a separate YAML file for your glossary, and use a Jinja macro to incorporate it into the documentation template.
B) Utilize a custom macro in your models to automatically generate a glossary section from designated column descriptions.
C) Manually add a separate "Glossary" page to the generated docs after running dbt docs generate_
D) Use the meta configuration in your dbt_project_yml file to define the glossary terms and their meanings.


2. (Multiple Select)

A) Environment variables used for sensitive credentials are not set correctly in production.
B) You have accidentally granted write permissions to the production data source during testing.
C) Your development profile in dbt_projectyml has incorrect connection details.
D) Your production database has stricter data type constraints than development.


3. You're setting up CI/CD for your dbt project to automate deployments. Which aspects of your testing strategy might need adaptation for a production-focused CI/CD workflow?

A) Disabling all tests that rely on creating new tables, to avoid impacting the production database.
B) Including smoke tests that run in production to verify core functionality after a deployment.
C) Emphasizing tests with longer run times for thorough checks before deployment.
D) Prioritizing tests with strict thresholds to avoid false positives from minor data variations in production.


4. Your stakeholders require robust data visualization and dashboarding capabilities beyond what dbt itself offers. Which of the following would be good pairings with dbt to address this need?

A) Modern Bl tools (like Tableau, Looker, Power Bl)
B) Spreadsheet software (like Excel or Google Sheets)
C) Data observability platforms
D) Version control systems (e.g., Git)


5. You're working in a highly collaborative environment. How could you manage contributions and updates to complex lineage macros to ensure maintainability and prevent conflicts?

A) Establish coding style guides and peer-review processes specifically for macros.
B) Limit the number of people authorized to make changes to sensitive lineage macros-
C) Utilize a robust version control system (e.g., Git) for macro code.
D) All of the above-


Solutions:

Question # 1
Answer: A,B
Question # 2
Answer: A,D
Question # 3
Answer: B,D
Question # 4
Answer: A
Question # 5
Answer: D

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