Getting ready for the Microsoft GH-600 exam is a unique challenge since it focuses heavily on building Agentic AI solutions. Many of us start by diligently following Microsoft Learn and official documentation. It is the logical first step, but it often leaves candidates wondering: are hands-on practical projects truly necessary to pass, or is theory enough?
The reality is that while documentation is fantastic for grasping core concepts, reading about tool calling, orchestration, memory management, and complex agent workflows only gets you so far. These are inherently dynamic topics. The actual learning process comes from experience, where the abstract concept of architecture becomes concrete through mechanics that only make sense when you witness the agent completing a series of steps.
For me, the “Aha” moment came when I took a hybrid approach to learning. I used Microsoft Learn as my base and then started small practice projects to understand the agent lifecycle process. To supplement my preparation, I used Microsoft GH-600 practice questions from third-party resources like MeasureUp, KodeKloud, Pass4Future, and Udemy, and also checked community guidance to get more from experienced candidates. This wasn’t about rote memorisation; it naturally validated my practical understanding and highlighted blind spots before exam day.
I’d be really interested to hear how the rest of you approached the GH-600 exam.
- Did you rely mostly on documentation, or did you build real Agentic AI projects before taking the exam?
- Which approach gave you the most confidence?