Lilly Tech Systems
dbt Analytics Engineering (AI Focus) Exam Prep
Everything you need to pass the dbt Analytics Engineering certification exam with an AI/ML focus. Comprehensive coverage of dbt models, testing, advanced modeling, and ML data pipelines — with 25+ practice questions and detailed explanations, all free.
Your Study Path
Follow these lessons in order for complete exam preparation, or jump to any domain you need to review.
1. Exam Overview
dbt certification overview, exam format, cost, prerequisites, study plans, and registration process. Start here to understand what to expect.
2. dbt Fundamentals
Models, sources, refs, materializations — the building blocks of every dbt project. Includes practice questions with explanations.
3. Testing & Documentation
Tests, documentation, packages, and data quality assurance in dbt projects. Practice questions included.
4. Advanced Modeling
Incremental models, snapshots, macros, Jinja templating, and advanced dbt patterns. Practice questions included.
5. dbt for ML
Feature engineering with dbt, ML data prep, dbt + ML pipelines, and building AI-ready data layers. Practice questions included.
6. Practice Exam
25 exam-style questions covering all domains with detailed explanations for each answer choice. Simulate real exam conditions.
7. Exam Tips & Review Sheet
Last-minute review checklist, exam day strategy, time management tips, frequently asked questions, and additional study resources.
What You'll Learn
By the end of this course, you will be ready to:
Pass the dbt Certification
Master every exam domain and build the confidence to earn your dbt Analytics Engineering certification on your first attempt.
Master dbt Fundamentals
Understand models, sources, refs, materializations, seeds, and the dbt project structure for production analytics engineering.
Build ML Data Pipelines
Design feature engineering pipelines with dbt for machine learning, including data prep, feature stores, and ML-ready data layers.
Apply Exam Strategies
Use proven time management, question elimination, and domain-specific strategies to maximize your score on exam day.