Welcome! This repository is designed to help you prepare effectively for the Databricks Certified Generative AI Engineer Associate exam.
👨🏫 Whether you're just starting out or brushing up your skills, this page compiles practice tests, study resources, and strategic tips for your success.
The Databricks Generative AI Engineer certification validates your ability to:
- Use LLMs in a production environment
- Understand prompt engineering
- Leverage vector databases and embeddings
- Use Databricks tools like Unity Catalog, MLflow, and DBRX
Here are some high-quality, free, and official resources that will help you ace the exam:
An official guide with hands-on examples covering:
- Prompt engineering
- Retrieval Augmented Generation (RAG)
- Building LLM-powered applications on Databricks
✅ Highly recommended for real-world context and Databricks-native tools.
A practical prep guide by a successful test-taker, discussing:
- Key areas covered in the exam
- Python + SQL knowledge expectations
- Importance of understanding Unity Catalog, MLflow, and Lakehouse architecture
🔍 Emphasizes practical workflows and tools used in the exam.
a realistic practice test set tailored for the current exam syllabus.
- Covers 250+ exam-style MCQs
- Includes detailed explanations
- Updated with the latest topics like RAG, vector stores, and DBRX
🎯 👉 Enroll now to practice like it’s the real exam!
Q: What does Retrieval Augmented Generation (RAG) help solve in LLM applications?
- A. Parameter tuning
- B. Training transformer models
- ✅ C. Accessing domain-specific knowledge not present in training data
- D. Improving tokenization speed
- ✅ Use Databricks Notebooks hands-on while learning about RAG pipelines, MLflow, and Delta tables.
- ✅ Review Unity Catalog concepts and how access controls apply to model assets.
- ✅ Understand open-source LLM frameworks like LangChain and HuggingFace.
- ✅ Be familiar with model inference techniques (batch vs real-time).
If you found this repo helpful, please ⭐ it, contribute with question dumps and share with others preparing for the exam.
Got feedback or questions? Open an Issue or connect with me on LinkedIn.
Let’s pass this exam together 💪