Purchase dbt Labs : dbt-Analytics-Engineering Exam Materials and then pass exam easily
Updated: Aug 26, 2026
No. of Questions: 359 Questions & Answers with Testing Engine
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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 Price: | $100 USD (varies by region) |
| Certificate Validity Period: | 2 years |
| Exam Format: | Multiple choice, Multiple select |
| Passing Score: | Not publicly disclosed |
| Available Languages: | English |
| Real Exam Qty: | Not publicly disclosed (commonly reported ~60–70 questions) |
| Exam Duration: | 120 minutes |
| Recommended Training: | dbt Documentation dbt Learn |
| Exam Registration: | dbt Labs official site dbt Certification Portal |
| Sample Questions: | dbt Labs dbt-Analytics-Engineering 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 |
|---|---|
| Deployment and Orchestration | - Environments and workflows
|
| Documentation and Lineage | - dbt documentation system
|
| Testing and Data Quality | - Built-in and custom tests
|
| Analytics Engineering Foundations | - SQL proficiency for analytics
|
| dbt Core Concepts | - Models and materializations
|
dbt Labs dbt Analytics Engineering Certification Sample Questions:
1. The dataset you work with contains personally identifiable information (PII). Which types of additional tooling might be necessary for your project beyond a core dbt implementation?
A) Advanced statistical modeling tools.
B) Enhanced data access governance and auditing tools.
C) Data masking or tokenization solutions.
D) Automated ETL pipelines
2. (Multiple Select)
A) materialized: view
B) test-paths
C) model-paths
D) database
3. (Multiple Select)
A) Using clear and consistent naming conventions across models and macros.
B) Encapsulating complex logic in well-named macros with descriptive comments.
C) Minimizing explicit model dependencies to create loosely coupled components.
D) Preferring long, monolithic SQL files with minimal CTEs.
4. You've included the popular 'dbt-utils' package in your project. Where should you primarily expect to find the models and macros it offers?
A) In the 'dbt_project.yml' file under a 'packages' section.
B) Within the 'seeds' directory of your dbt project.
C) Within your 'models' directory namespaced to distinguish them from your own models.
D) Automatically materialized as new tables in your data warehouse.
5. You need a way to document relationships between raw source tables, dbt models, and downstream Bl dashboards. What type of tool would be best suited for this task?
A) A data catalog
B) A version control system
C) dbt's built-in documentation (dbt docs)
D) A data profiling tool
Solutions:
| Question # 1 Answer: B,C | Question # 2 Answer: B,C | Question # 3 Answer: A,B | Question # 4 Answer: C | Question # 5 Answer: A |
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