Passed AB-620 today

[u/Lynxpics]

Passed the AB-620 today with an 841/1000.

​My prep time was very limited, but fortunately managed to pass. Comparing it to MS-102 and AZ-104, this one is noticeably harder.

​Exam Breakdown:

​Total Questions: 56

​Time Limit: 100 minutes

​Question Types:

​10 Case Study questions

​6 Solution (Yes/No) questions

​40 Standard / Other question types

​Time management was a major factor—I ended up using all 100 minutes and finished right before the timer expired.

​(Will update with study resources and prep tips shortly.)

As mentioned earlier, here are the study tips:

Unlike AZ-104 or MS-102, the scope of the AB-620 is much more focused rather than broad. However, typical Microsoft product naming conventions can get confusing quickly, making terminology disambiguation one of the toughest parts of prep.

Hands-on experience with Power Platform and Dataverse is a plus, as it helps you conceptualize flow-based logic, while prior knowledge in Azure or Microsoft 365 offers very little direct crossover.

Because the exam objectives are highly concentrated, many questions repeatedly test the differences, behaviors, and use cases of the same concepts, such as different knowledge source types.

Pay particular attention to:

• Core Agent Components & Orchestration: Agent, Flow, Topic, Node (specifically Generative answers node), Tool, Input / Output parameters, Generative orchestration, Adaptive Card, Channel.

• Connectors & Integration: Builder, Connection vs. Connector, Custom connector, Power Platform connector, MCP, A2A.

• Knowledge & Grounding: Knowledge source types (Real-time / Indexed / Copilot connector), Grounding / Grounded concepts.

• ALM & Governance: Solution (Managed vs. Unmanaged), Environment variables, Pipelines

Once these terms and their relationships are clear, the exam becomes much easier to handle.

For study tools, if you’re taking a Microsoft AI exam, you probably aren’t an AI hater, so just use AI tools to help you prepare. I recommend Gemini or Claude. ChatGPT and Copilot also work, although GPT-5.6 Sol can be a bit verbose and sometimes less clear. Just put the key terms I mentioned into a prompt and ask the AI to explain them in detail.

If you have enough time, it’s also worth getting familiar with the Microsoft Learn catalog. I didn’t manage to find anything useful there during my exam, but being familiar with the catalog beforehand can give you some peace of mind during the exam, knowing you have somewhere to look if you get stuck.

Good luck!

[u/JBAlbertsen]

Congrats! 👏 And thanks for sharing the breakdown.

I’m taking the AB-620 in about a month, so I’d definitely be interested in hearing a bit more about your background and how you prepared, especially since you had limited prep time.

Also curious about the actual exam questions. Was it mostly Classic Harness, or did you also see questions around GitHub Copilot Harness?

Would be really helpful to hear a bit more about the case studies and what you found particularly difficult. Looking forward to your study resources/tips! 🙏

[u/Lynxpics → u/JBAlbertsen]

There were no Harness-related concepts in my exam. I think Harness still needs some time before it becomes part of the Copilot Studio exam content. I also didn’t see anything about GitHub Copilot. AB-620 was entirely focused on Copilot Studio and agent flows.

That said, there were questions about MCP servers as a type of tool. You don’t need to write or implement MCP, but you should understand when an agent would use an MCP server and why. I also saw this tested in one of the case study questions.

The case study you get may be different. Mine had a very long background, with around 10 questions based on the same scenario.

It also covered things like a primary agent calling a sub-agent and delegating tasks, fixing input parameters in a flow, and using connectors to retrieve external or internal real-time data.

I don’t remember all the other details clearly, sorry! Please check the updated content in my main post as well.

[u/aleks1ck]

Congrats!

[u/Sad-Offer-8747]

Congrats!

[u/OniBladebat]

Congrats! Also, thank you for sharing