The latest articles on DEV Community by Philipp Elhaus (@philippelhaus). https://dev.to/philippelhaus https://media2.dev.to/dynamic/image/width=90,height=90,fit=cover,gravity=auto,format=auto/https:%2F%2Fdev-to-uploads.s3.us-east-2.amazonaws.com%2Fuploads%2Fuser%2Fprofile_image%2F3981812%2F31547d0f-1360-4a11-9917-162f6114e8d0.png https://dev.to/philippelhaus en Philipp Elhaus Sat, 13 Jun 2026 12:54:28 +0000 https://dev.to/philippelhaus/i-built-a-free-practice-site-for-the-ab-100-agentic-ai-exam-43mm https://dev.to/philippelhaus/i-built-a-free-practice-site-for-the-ab-100-agentic-ai-exam-43mm <p><a href="https://media2.dev.to/dynamic/image/width=800%2Cheight=%2Cfit=scale-down%2Cgravity=auto%2Cformat=auto/https%3A%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Farticles%2Fbzhkzq72koki8w84pd0z.png" class="article-body-image-wrapper"><img src="https://media2.dev.to/dynamic/image/width=800%2Cheight=%2Cfit=scale-down%2Cgravity=auto%2Cformat=auto/https%3A%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Farticles%2Fbzhkzq72koki8w84pd0z.png" alt="AB-100 Agentic AI Practice" width="800" height="336"></a></p> <p>I built <strong><a href="https://www.ab-100.com" rel="noopener noreferrer">www.ab-100.com</a></strong> while studying for the <strong>Microsoft AB-100 Agentic AI exam</strong> myself.</p> <p>It is a free practice site for people preparing for AI solution architect topics around Agentic AI: agents, tool use, planning, memory, orchestration, evaluation, and safety.</p> <p>Link: <strong><a href="https://www.ab-100.com" rel="noopener noreferrer">https://www.ab-100.com</a></strong></p> <h2> Why I Built It </h2> <p>A lot of Agentic AI study material is passive: docs, videos, articles, and explainers.</p> <p>That helps, but exam prep needs practice. You need to check whether you can reason about agent behavior, architecture choices, and tradeoffs, not just recognize the terms.</p> <p>The areas I wanted to practice more clearly were:</p> <ul> <li>agent planning</li> <li>tool calling</li> <li>memory</li> <li>autonomy</li> <li>orchestration</li> <li>evaluation</li> <li>safety and guardrails</li> <li>multi-agent workflows</li> <li>Microsoft AI solution architecture concepts</li> </ul> <p>So I built a focused practice site around those topics.</p> <h2> What AB-100.com Does </h2> <p>AB-100.com is intentionally simple:</p> <ul> <li>practice AB-100-style questions</li> <li>review Agentic AI concepts</li> <li>find weak areas</li> <li>get used to exam-style wording</li> <li>study without setting up a giant note system</li> </ul> <p>It is free to use and built for focused repetition.</p> <h2> Why I’m Sharing It </h2> <p>AI agents are becoming a real architecture topic, not just a buzzword.</p> <p>If you work with LLMs, automation, copilots, workflow agents, or multi-agent systems, the same questions keep coming up:</p> <ul> <li>when should an agent use a tool?</li> <li>how should it plan?</li> <li>what should it remember?</li> <li>how do you evaluate agent behavior?</li> <li>what guardrails are needed when systems can act?</li> <li>how do you design this as a reliable AI solution?</li> </ul> <p>That is why structured practice helps. It forces you to answer instead of just reading along.</p> <h2> Monetization Note </h2> <p>The site is free.</p> <p>Some links may be affiliate links. If someone buys through one of those links, I may earn a commission at no extra cost to them.</p> <p>I’m mentioning that directly because transparency matters, especially when sharing resources in a developer community.</p> <h2> Feedback Welcome </h2> <p>If you are preparing for AB-100, working toward Microsoft AI solution architect skills, or learning Agentic AI, I’d appreciate feedback on:</p> <ul> <li>missing topics</li> <li>unclear questions</li> <li>wrong or debatable answers</li> <li>UX issues</li> <li>explanations that need more detail</li> </ul> <p>I built this because I needed it myself. Hopefully it helps someone else preparing for the same exam.</p> <p>Link: <strong><a href="https://www.ab-100.com" rel="noopener noreferrer">https://www.ab-100.com</a></strong></p> ai machinelearning agenticai certification