This course provides a series of practice exams designed specifically for the Databricks Certified Generative AI Engineer Associate certification. You'll engage with scenario-based questions that reflect critical aspects of generative AI, such as retrieval-augmented generation and evaluation workflows. As you work through the material, you'll develop a deeper understanding of model evaluation metrics and governance considerations, preparing you for real-world decision-making in the Databricks ecosystem.
What you'll learn
understand scenario-based decision making in generative AI
interpret various evaluation metrics such as accuracy and F1 scores
distinguish between evaluation and monitoring phases in AI applications
navigate governance and operational challenges in the context of AI
Course objectives
familiarize yourself with the exam structure
enhance decision-making skills under timed conditions
identify areas needing further review before the certification exam