AI Workloads & Responsible AI
This domain covers 15-20% of the AI-900 exam. You'll learn to identify different AI workloads, understand Microsoft's Responsible AI principles, recognize common AI patterns, and map scenarios to Azure AI services.
Challenges in this domain
| # | Challenge | Key topics |
|---|---|---|
| 01 | Identify AI Workloads | Computer Vision, NLP, Speech, Document Intelligence, Generative AI |
| 02 | Responsible AI Principles | Fairness, reliability, privacy, inclusiveness, transparency, accountability |
| 03 | Common AI Patterns and Use Cases | Anomaly detection, prediction, classification, knowledge mining |
| 04 | Azure AI Services Overview | Multi-service resources, keys/endpoints, service taxonomy |