I am currently going through Deploying AI Apps and Agents on Azure AI-103 preparation and trying to understand how much of it is conceptual vs memorization-based. Some AI certifications are concept-based, while others require a deeper practical understanding. So i wanted to get opinions from people who have either studied or worked with these topics.
From my experience while going through the AI-103 exam topics, Implement computer vision solutions and implement generative AI and agentic solutions tend to be the most confusing areas.
The questions in these sections are often scenario-based and can feel tricky in the final exam because they test application rather than simple definitions. The main challenge is understanding when to choose the right AI approach in real- world use cases. Practicing scenario-based questions really helps build that decision-making skill. I have also been using the AZ-103 practice questions from P2PExams along with official documentation to strengthen my understanding.