What Helps You Prepare for the Microsoft AI-300 Exam?

I'm preparing to strengthen my understanding of Microsoft AI-300 and would like to hear how others approach AI operations and production workloads. One challenge I've noticed is that developing an AI solution is only part of the work. Understanding how to evaluate model performance, monitor deployed systems, troubleshoot issues, and improve reliability requires looking at how these pieces fit together. I'm trying to connect the technical concepts to realistic operational scenarios rather than study each topic in isolation.

I'm considering Microsoft AI-300 practice questions on PrepBolt to assess my progress alongside Microsoft Learn and hands-on exercises. Reviewing incorrect answers could help me spot gaps and revisit concepts that are still unclear. For anyone who has studied AI operations or prepared for AI-300, what has worked best for you? Did practical Azure exercises, documentation, or scenario-based questions make the biggest difference in understanding deployment, monitoring, and evaluation?