Passing Azure AI-103: Why Hands-On Labs Beat Memorization

A developer shares how failing Microsoft's AI-103 exam led to a better study approach focused on architectural decisions over service memorization. The key insight: understanding when to use RAG vs fine-tuning or workflow vs multi-agent orchestration matters more than rote learning. Hands-on labs proved critical for grasping Azure AI services' practical quirks.