dbt Labs dbt-Analytics-Engineering Exam Details & Actual Exam Questions
- Exam Code/Number: dbt-Analytics-Engineering
- Exam Name/Title: dbt Analytics Engineering Certification Exam
- Certification Provider: dbt Labs
- Corresponding Certification: Analytics Engineers
- Exam Questions: 359
- Updated On: Jun,26 2026
- Certification Level: Intermediate
dbt Labs dbt Analytics Engineering Certification Exam Questions
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(23 Up Votes)dbt Labs dbt-Analytics-Engineering Exam Overview:
| Certification Vendor: | dbt Labs |
| Exam Name: | dbt Analytics Engineering Certification Exam |
| Exam Number: | dbt-Analytics-Engineering |
| Real Exam Qty: | 65 |
| Exam Format: | Multiple choice, Multiple select |
| Exam Price: | USD 200 |
| Passing Score: | 80% |
| Exam Duration: | 120 minutes |
| Related Certifications: | dbt Analytics Engineering Certification |
| Certificate Validity Period: | 2 years |
| Available Languages: | English |
| 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 |
|---|---|---|
| Models | 25% | - Writing and managing SQL models - Sources and references - Snapshots - Materializations (table, view, ephemeral, incremental) - Seeds |
| dbt Fundamentals | 15% | - dbt project structure - dbt Core vs dbt Cloud - dbt workflow and best practices |
| Data Transformation Techniques | 25% | - Common table expressions and subqueries - Jinja templating - Refactoring and incremental models - Macros and packages |
| Deployment and Orchestration | 15% | - CI/CD with dbt Cloud - Git version control integration - Jobs and scheduling in dbt Cloud - Environments (dev, staging, prod) |
| Testing and Documentation | 20% | - Custom data tests - Schema tests (unique, not_null, accepted_values, relationships) - dbt docs and DAG visualization - Documentation generation |
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