Short on time before your dbt-Analytics-Engineering exam date? Lead2Passed packs 359 focused practice questions for the dbt Labs dbt Analytics Engineering Certification into a format you can work through whenever a spare hour appears, so even a busy schedule is no excuse.
dbt Labs dbt-Analytics-Engineering Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Managing Data Pipelines | 15% | - CI/CD integration - Deployment strategies - Pipeline orchestration |
| Leveraging dbt State | 5% | - State management - State-aware operations |
| External Dependencies | 10% | - Using packages - External sources integration - Managing snapshots |
| Debugging and Error Resolution | 15% | - Debugging techniques - Resolving data quality issues - Identifying modeling errors |
| dbt Models Governance | 15% | - Naming conventions and standards - Version control integration - Project organization and structure |
| Creating and Maintaining Documentation | 10% | - Descriptions and metadata - Documentation standards - Generating documentation |
| Implementing dbt Tests | 10% | - Built-in tests - Custom tests - Test configuration and execution |
| Developing dbt Models | 20% | - Model design and structure
|
dbt-Analytics-Engineering Exam FAQ: Answers to Read Before You Book
The dbt Labs dbt Analytics Engineering Certification is the official dbt Labs exam that leads to the dbt Analytics Engineering Certification certification at the Practitioner level. Passing it validates your skills against dbt Labs standards and proves your qualification to current and future employers. The credential is also connected with related certifications such as dbt Architect Certification, so it can serve as a solid step in a broader certification path.
The dbt-Analytics-Engineering exam has 65 questions in total and must be completed within 120 minutes. That leaves only a narrow time budget per item, so train yourself to flag a difficult question, move on, and circle back later instead of getting stuck. A week or two before your test date, run at least one full timed mock exam in the Lead2Passed desktop or online test engine under the same 120 minutes limit, and repeat until you can finish with a few minutes left for review.
The passing score for the dbt-Analytics-Engineering exam is 65%, and the official registration fee is 200 USD. Keep in mind that a failed attempt is not discounted — retaking the exam means paying the full fee again — so it is wise not to book your seat until your practice scores sit comfortably above the passing mark. Working through the 359 questions at Lead2Passed in timed mode is a reliable way to judge when you are truly ready.
dbt Labs sets the following requirement for the dbt-Analytics-Engineering exam: SQL proficiency recommended; 6+ months practical experience with dbt Core or dbt Cloud suggested; no mandatory prerequisites. Eligibility rules can change from time to time, so always confirm the current prerequisites on the official exam page at https://www.getdbt.com/certifications/analytics-engineer-certification-exam before you register.
You can register for the dbt Labs dbt Analytics Engineering Certification through the following official channels:
The dbt-Analytics-Engineering exam is delivered as Online, remotely proctored; delivered via Caveon testing platform, so review the technical and check-in requirements for that format when you schedule your appointment.
dbt Labs recommends the following official training options for the dbt Labs dbt Analytics Engineering Certification:
Official courses build the theory, and pairing them with the 359 practice questions from Lead2Passed turns that knowledge into exam-ready answers.
Yes. Lead2Passed offers a free PDF demo for the dbt Labs dbt Analytics Engineering Certification, so you can review real sample questions and judge the quality before paying anything. After your purchase, you receive 365 days of free updates — whenever the question pool changes, you get the latest version at no cost. Once that period expires, you can extend your update service at a 50% discount from your member zone.
If you take the dbt-Analytics-Engineering exam within 60 days of your purchase and do not pass, you can apply for a full refund under our 100% Money Back Guarantee. To qualify, submit a scanned copy of your exam enrollment slip together with your official Score Report (PDF) within 2 days after the exam date, and your claim will be processed within 7 days. Note that the guarantee applies only to the corresponding exam: attempts taken within 3 days of purchase, downloaded-but-unused materials, free resources, and expired orders are not eligible, and the candidate name must match the purchaser name. If you would rather not refund, you can exchange the product for two free exam products of equal value while keeping the update service on your original purchase.
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The dbt Labs dbt Analytics Engineering Certification is organized into 8 domains. Among the first ones are Leveraging dbt State (5%), Implementing dbt Tests (10%), dbt Models Governance (15%), and the remaining domains cover the rest of the official objectives. For the complete topic breakdown with every subtopic, see the full dbt-Analytics-Engineering exam outline above on this page.
dbt Labs dbt Analytics Engineering Certification Sample Questions:
A CTE within a dbt model is incorrectly casting a string column to a numeric type.
- A. A source table has inconsistent data, mixing true numeric values with strings.
- B. A snapshot is incorrectly merging new data with incompatible types into an existing table.
- C. A Jinja macro meant to filter out non-numeric strings has a logic flaw.
Correct Answer: A,C 🗳️
Explanation: Only visible for Lead2Passed members. You can sign-up / login (it's free).
Your dbt project contains both source descriptions (within your sources.yml file) and model descriptions. You notice that the source descriptions don't appear in the generated docs alongside the relevant models. What's then most likely reason?
- A. A recent update to dbt has changed how source descriptions are integrated into the documentation.
- B. Source descriptions only appear when you navigate directly to the Sources section of the documentation_
- C. Source tables need to be explicitly tagged within your model configuration for their descriptions to appear
- D. Your dbt_projectyml file is lacking the proper configuration to include source descriptions.
Correct Answer: D 🗳️
Explanation: Only visible for Lead2Passed members. You can sign-up / login (it's free).
You're tasked with creating a model for audit purposes. The data must be preserved exactly as it was at a specific point in time. Update frequency is low, and there's no need for additional transformations on the captured dat a. What materialization should you use?
- A. Table
- B. Snapshot
- C. View
- D. Incremental
Correct Answer: B 🗳️
Explanation: Only visible for Lead2Passed members. You can sign-up / login (it's free).
You want to configure dbt to prevent tests from running if one or more of their parent models is unselected.
Which test command should you execute?
Choose 1 option.
- A. dbt test --select "orders" --indirect-selection=empty
- B. dbt test --select "orders"
- C. dbt test --select "orders" --indirect-selection=cautious
- D. dbt test --select "orders" --indirect-selection=buildable
Correct Answer: A 🗳️
You want to experiment with a new column in an existing model without risking production changes. Which configuration strategy in your dbt_project.yml would support this safely?
- A. Modify the model SQL using the config.get() macro to dynamically control the column's behavior
- B. Utilize git branches and have different dbt_project.yml files for your production and experimental branches.
- C. Define separate configurations for the column under the model and use the enabled property.
- D. Add a -select flag when using dbt run to execute only the modified model.
Correct Answer: C 🗳️
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