Walking into the dbt-Analytics-Engineering exam cold is a risk you do not have to take. In 2026, ExamCost test engines recreate the timed pressure of the dbt Labs dbt Analytics Engineering Certification exam, so the format feels familiar long before exam day.
dbt Labs dbt-Analytics-Engineering Exam Overview:
| Certification Vendor: | dbt Labs |
|---|---|
| Exam Name: | dbt Analytics Engineering Certification Exam |
| Exam Number: | dbt-analytics-engineering-certification |
| Exam Duration: | 120 minutes |
| Real Exam Qty: | Not publicly disclosed (commonly reported ~60–70 questions) |
| Exam Price: | $100 USD (varies by region) |
| Exam Format: | Multiple select, Multiple choice |
| Passing Score: | Not publicly disclosed |
| Available Languages: | English |
| Certificate Validity Period: | 2 years |
| Recommended Training: | dbt Documentation dbt Learn |
| Exam Registration: | dbt Certification Portal dbt Labs official site |
| Sample Questions: |  |
| Exam Way: | Online proctored exam (via dbt Labs certification platform / authorized proctoring provider) |
| Pre Condition: | No formal prerequisites required; strong SQL and data modeling knowledge recommended |
| Official Syllabus URL: | https://www.getdbt.com/certification |
dbt Labs dbt-Analytics-Engineering Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Documentation and Lineage | - Data lineage understanding
|
| dbt Core Concepts | - Project structure and configuration
|
| Deployment and Orchestration | - Running dbt in production
|
| Testing and Data Quality | - Built-in and custom tests
|
| Analytics Engineering Foundations | - Modern data stack concepts (ELT vs ETL)
|
dbt Labs dbt-Analytics-Engineering Exam: Frequently Asked Questions
The dbt-Analytics-Engineering exam is the official exam behind the dbt Analytics Engineering Certification credential from dbt Labs. It sits at the Professional level of the dbt Labs certification track. The ExamCost practice questions on this page map to the same objectives, so you can measure your readiness before you book a seat.
The dbt-Analytics-Engineering exam contains Not publicly disclosed (commonly reported ~60–70 questions) questions and gives you 120 minutes to complete them. That pace leaves little room for getting stuck, so train yourself to flag a hard question, move on, and circle back later. Run at least one full timed session in the ExamCost test engine a week before your exam date to check whether your pacing holds under pressure.
You need Not publicly disclosed to pass the dbt-Analytics-Engineering exam, and the official registration fee is $100 USD (varies by region). A retake means paying that fee again in full, which makes thorough preparation the cheaper option by far. Before scheduling, take a timed ExamCost practice test; if you are not scoring comfortably above the passing line, give yourself more study time instead of booking on hope.
No formal prerequisites required; strong SQL and data modeling knowledge recommended
Requirements can change, so confirm the latest details on the official dbt Labs exam page before you register.
You can book the dbt-Analytics-Engineering exam through the following official channels:
The exam is delivered Online proctored exam (via dbt Labs certification platform / authorized proctoring provider), so pick the option that suits you when booking.
dbt Labs points candidates to these official courses:
Once you have worked through the official material, wrap up your preparation with the 359 practice questions from ExamCost to lock in what you have learned.
Yes. A free dbt-Analytics-Engineering PDF demo is available, so you can check the question style and answer quality before you commit. Every purchase also includes 365 days of free updates, and if your product expires after that, you can extend the update service at a 50% discount from your member zone.
Your purchase is protected by our 100% Money Back Guarantee. If you take the dbt-Analytics-Engineering exam within 60 days of purchase and do not pass, send us a scanned enrollment slip and your official Score Report PDF within two days of the exam; approved refunds are processed within seven days. The candidate name must match the payer name, and the guarantee does not apply to exams taken within three days of purchase, to products that were downloaded but never used in an exam sitting, or to free materials and expired orders. If you would rather keep studying, we can instead exchange your order for two free exam products of equal value while your original product keeps its update service. Delivery itself is instant: your download is emailed within one minute of payment and stays available in your member zone, with no limit on how many computers you can install it on. If nothing arrives within two hours, contact our customer service team.
The dbt-Analytics-Engineering syllabus is divided into 5 domains, including Testing and Data Quality, Documentation and Lineage, and Analytics Engineering Foundations. The complete breakdown, with every domain and its subtopics, is listed in the Exam Topics section above — review it line by line and flag the areas where you feel weakest.
dbt Labs dbt Analytics Engineering Certification Sample Questions:
(Multiple Select)
- A. Using SELECT * to include all columns dynamically
- B. Nesting multiple correlated subqueries within a single query_
- C. Leveraging window functions to calculate values across rows or groups.
- D. Writing custom macros to encapsulate frequently used SQL logic.
Correct Answer: A,B 🗳️
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You get a warning during dbt run:WARNlNG: Found 100 rows in 'stg_customers' that will become duplicates in the 'dim_customers' target.
- A. Increase the memory allocated for the database to handle the large number of duplicates.
- B. It's safe to ignore this warning, as de-duplication is handled automatically by dbt.
- C. Update the stg_customers source definition to include filtering logic to remove duplicate rows.
- D. Investigate your dim_customers modeling logic to ensure a unique key is correctly used to prevent duplicates.
Correct Answer: D 🗳️
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You're getting inconsistent errors when adding new models in your dbt_project.yml. You suspect typos or indentation issues. How can you proactively improve this situation?
- A. Use a code editor or IDE with YAML-specific linting and auto-formatting support.
- B. Set up a pre-commit hook that runs a YAML validation script before committing changes.
- C. All of the above.
- D. Write tests covering various aspects of dbt_project.yml to proactively catch errors.
Correct Answer: C 🗳️
Explanation: Only visible for ExamCost members. You can sign-up / login (it's free).
A team member proposes directly joining multiple raw source tables into a single large model for convenience.
Which of the following is a potential long-term consequence of this approach?
- A. Maintenance complexity increases as business logic or source tables change.
- B. Your DAG might inadvertently develop circular dependencies.
- C. The dbt test command might run slower due to the complex join logic.
- D. Incremental materialization strategies would no longer be applicable.
Correct Answer: A 🗳️
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You're setting up a new dbt project and want to customize the naming of compiled objects in the data warehouse. Which section of the dbt_project.yml file is the most relevant?
- A. seeds:
- B. snapshots:
- C. vars:
- D. models:
Correct Answer: D 🗳️
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