Download dbt Labs : dbt-Analytics-Engineering Questions & Answers as PDF & Test Software
Last Updated: Sep 06, 2026
No. of Questions: 359 Questions & Answers with Testing Engine
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The dbt Labs dbt Analytics Engineering Certification exam has a reputation for rewarding candidates who prepare with the right material. With 359 carefully compiled practice questions, TestSimulate helps you turn the dbt-Analytics-Engineering syllabus into something you can genuinely master.
dbt Labs dbt-Analytics-Engineering Exam Overview:
| Certification Vendor: | dbt Labs |
|---|---|
| Exam Name: | dbt Analytics Engineering Certification Exam |
| Exam Number: | dbt-Analytics-Engineering |
| Available Languages: | English |
| Passing Score: | 80% |
| Related Certifications: | dbt Analytics Engineering Certification |
| Certificate Validity Period: | 2 years |
| Real Exam Qty: | 65 |
| Exam Format: | Multiple select, Multiple choice |
| Exam Duration: | 120 minutes |
| Exam Price: | USD 200 |
| Sample Questions: | dbt Labs dbt-Analytics-Engineering Sample Questions |
| Exam Way: | Online proctored exam |
| Pre Condition: | No formal prerequisites, but practical experience with dbt and SQL is recommended |
| Official Syllabus URL: | https://www.getdbt.com/certification |
dbt Labs dbt-Analytics-Engineering Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Testing and Documentation | 20% | - dbt docs and DAG visualization - Documentation generation - Schema tests (unique, not_null, accepted_values, relationships) - Custom data tests |
| Topic 2: Models | 25% | - Writing and managing SQL models - Snapshots - Seeds - Sources and references - Materializations (table, view, ephemeral, incremental) |
| Topic 3: Deployment and Orchestration | 15% | - Git version control integration - Environments (dev, staging, prod) - Jobs and scheduling in dbt Cloud - CI/CD with dbt Cloud |
| Topic 4: dbt Fundamentals | 15% | - dbt project structure - dbt workflow and best practices - dbt Core vs dbt Cloud |
| Topic 5: Data Transformation Techniques | 25% | - Macros and packages - Jinja templating - Common table expressions and subqueries - Refactoring and incremental models |
Everything Candidates Ask About dbt Labs dbt Analytics Engineering Certification
The dbt-Analytics-Engineering exam, officially titled dbt Analytics Engineering Certification Exam, is the qualifying exam for the Analytics Engineers certification, which sits at the Intermediate level. Earning it shows employers that you have the skills the credential stands for, and it is a solid step forward on a dbt Labs career path. It also connects to dbt Analytics Engineering Certification, so the effort you put in now keeps paying off as you advance.
The dbt-Analytics-Engineering exam gives you 65 questions to complete within 120 minutes. Do the math before exam day: divide the total time by the question count to set a steady per-question pace, and flag any item that stalls you so you can return to it after securing the easier points. The most reliable way to build that rhythm is a full timed practice test under the same limit, which is exactly what TestSimulate's test engines are designed for.
The passing score for dbt Labs dbt Analytics Engineering Certification is 80%, and the official registration fee is USD 200. Keep in mind that a retake means paying that fee again in full, which makes an honest self-check worthwhile: before you book, sit a timed practice test and make sure you are consistently scoring above the passing line with some margin to spare.
According to the official requirements: No formal prerequisites, but practical experience with dbt and SQL is recommended. Eligibility rules do change from time to time, so confirm the current details on the official exam page before you register.
Yes — TestSimulate offers a free PDF demo of the dbt Labs dbt Analytics Engineering Certification material, so you can review the question style and answer quality before you spend anything. After purchase, you also receive 365 days of free updates, and if your product expires you can extend the update service at a 50% discount from your member zone.
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The current dbt Labs dbt Analytics Engineering Certification syllabus is organized into 5 exam domains. The first three are:
- dbt Fundamentals (15%)
- Models (25%)
- Data Transformation Techniques (25%)
For the full domain and subtopic breakdown, see the Exam Topics section above — that is the outline your TestSimulate practice questions are mapped to.
dbt Labs dbt Analytics Engineering Certification Sample Questions:
Question 1
You're building tests for a dbt model that performs a join across multiple large datasets. You notice performance issues - tests are taking a very long time to run. What might be optimization strategies?
A. Create snapshots of the source tables and test on those snapshots instead.
B. Accept that tests on complex models will always be slow.
C. Refactor model SQL to use incremental logic to avoid full table scans.
D. Focus on tests that can validate a subset of the data rather than the entire dataset.
Question 2
A colleague expresses confusion about how dbt uses the dbt_project.yml file. Which of the following is the MOST accurate high-level explanation?
A. The dbt_project.yml file is primarily used for version control and collaboration in dbt projects
B. The dbt_project yml file contains the actual SQL code that defines your data transformations.
C. The dbt_project. yml file serves as a temporary cache for in-development models.
D. The dbt_projectyml file acts as a blueprint for how dbt should generate your data models, tests, and documentation.
Question 3
A project stakeholder requests access to an intermediate stage of a dbt transformation pipeline to validate specific calculations.
You need to weigh this request carefully because:
A. Exposing intermediate results can lead to premature analysis based on incomplete data.
B. Raw data, development data, and production data often have different levels of data quality, completeness, and timeliness.
C. Granting access to intermediate data may confuse stakeholders who are not familiar with the full transformation process-
D. All of the above-
Question 4
Select the dbt materialization that typically DOES NOT persist its results to disk:
A. Incremental
B. Snapshot
C. Table
D. Ephemeral
Question 5
dbt Model Snippet
A. The ref() functions arent correctly resolving dependencies.
B. The underlying data types of o.customer_id and c.customer_id mismatch.
C. The presence of filters on the source fct_orders or dim_customers.
D. The logic contained within a custom macro.
Solutions:
| Question 1 Answer: C,D | Question 2 Answer: D | Question 3 Answer: A | Question 4 Answer: D | Question 5 Answer: C |
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