Microsoft · AB-100
Microsoft Agentic AI Business Solutions Architect (AB-100) — Practice Questions and Mock Exam
Practice real AB-100 questions, never dumps. Alex explains every answer, and your readiness score tells you when you're ready to pass.
Checked against Microsoft · August 2026Current exam version
Overview
About the exam
The Microsoft Certified: Agentic AI Business Solutions Architect certification (exam AB-100) validates the ability to plan, design, and deploy agentic AI business solutions across the Microsoft ecosystem — principally Copilot Studio, Microsoft Foundry, Power Platform, and Dynamics 365 Copilot. It covers choosing the right build platform and agent type, designing orchestration and knowledge grounding, governing agents through Microsoft Entra Agent ID and Microsoft Purview, and operating them with observability and evaluation, weighing trade-offs in cost, latency, data residency, autonomy, and compliance.
This role-based credential is designed for architects who translate business requirements into governed, secure, and measurable agent solutions. Deploying solutions carries the heaviest exam weight at 40–45%, ahead of planning and design at 25–30% each, reflecting how much of the role sits in shipping and operating agents rather than scoping them.
Exam domains
What's on the exam
Deploy carries the most weight at 40–45%, covering monitoring and tuning of live agents, test and ALM strategy, and responsible-AI, security, and governance controls — everything that keeps a shipped solution safe and compliant. Plan and Design split the remaining weight evenly at 25–30% each: Plan judges whether a proposed solution addresses a genuine need and whether the underlying data is clean enough to ground it, before anything gets built, while Design covers the agent architecture and orchestration choices across Copilot Studio, Foundry, and Dynamics 365.
That tilt toward Deploy is deliberate: AB-100 expects architects to keep an agent solution operating safely after launch, on top of designing it well in the first place. Expect more questions on audit trails, agent identity sponsorship, and permission limits on the data feeding an agent than on greenfield architecture patterns.
Exam blueprint: AB-100
Assess whether a proposed AI solution has the right use case and clean enough data to ground it, shape an overall AI strategy across Microsoft's agent-building platforms, and weigh the resulting costs against expected ROI before building or buying.
≈ 14 hBlueprint task, autonomous, and prompt-and-response agents inside Copilot Studio and Dynamics 365, extend that design with custom models and Model Context Protocol integrations, and orchestrate how prebuilt agents and Microsoft 365 Copilot features get configured.
≈ 14 hAnalyze, monitor, and tune deployed AI-powered business solutions, and manage the testing and application lifecycle management process for agents and custom AI models. Also covers designing responsible AI practices, security, governance, and compliance controls including access controls and audit trails.
≈ 22 hFormat
Exam format and question types
AB-100 draws 40–60 questions from a mostly multiple-choice pool, with a smaller share of true/false and multiple-response items, inside a 120-minute window. A scaled score of 700 out of 1000 is required to pass. Items are scenario-driven: a business situation is described, and you choose the platform, agent type, orchestration mode, governance control, or monitoring approach that fits — often distinguishing between similar options on one decisive factor such as data residency, authentication requirement, or human-in-the-loop need.
Question types: AB-100
Pick the single best answer from four or five options — the exam's bread and butter.
Judge a single statement as true or false — quick points, but the exact wording decides.
More than one answer is correct and you need all of them; the question tells you how many to pick.
Microsoft confirms these question types — a percentage split is not published; the shares reflect our exam-aligned question pool.
Question pool
335 questions, built like the exam
Every domain of the AB-100 exam has enough questions in the pool to practice it in depth. A mock exam asks 50 questions in one sitting, on the same 120-minute clock as the real thing.
Audit record: AB-100
as published by Microsoft
across 3 domains, from the official exam guide
= 6 full practice exams of 50 questions each — never the same question twice
Plan AI-powered business solutions 87 · Design AI-powered business solutions 106 · Deploy AI-powered business solutions 142
each verified against official Microsoft documentation — answer, options and explanation, source cited
Planning
Preparing for AB-100
How long you'll need depends on how much hands-on experience you bring. The rest is set by the vendor: how the exam is delivered, how soon you can retake it, and how long the credential stays valid.
AB-100 is scheduled through Pearson VUE, either at a testing center or with online proctoring, and is currently offered in English only. The certification holds for one year, and Microsoft opens a free renewal assessment on Learn starting six months before it expires.
Your plan: AB-100
Preparation
typically around 30 h if you already work with this stack, around 75 h coming to it fresh
Exam day & after
Free online renewal assessment on Microsoft Learn, available in the six months before the certification expires; passing extends the credential by another year.
The hours are our own planning estimate — Microsoft publishes no preparation time for this exam. A starting point for your calendar, not a target.
Watch out
Common pitfalls
The most common mistakes are treating fine-tuning and retrieval-augmented generation (RAG) as interchangeable, confusing generative versus classic orchestration behavior, and assuming any authentication option works on any channel. Candidates also lose points by over-delegating into too many connected agents, by forgetting that Microsoft channels such as Teams cannot be anonymous, and by overlooking that some Copilot Studio settings (Application Insights, manual auth, channel security) are not solution-aware and require post-deployment configuration. Another frequent trap is governance: forgetting that every Microsoft Entra Agent ID identity needs a human sponsor, that DLP policies apply at environment or tenant scope (never per user), and that autonomous event triggers run under the maker's credentials rather than each end user's.
Watch list: AB-100
- 01RAG vs fine-tuning
Use RAG for large, frequently changing knowledge; fine-tuning for consistent style, tone, or output format from a fixed dataset — they are not interchangeable.
- 02Orchestration mode
Generative orchestration selects components by description and proactively searches knowledge; classic orchestration matches trigger phrases and calls tools only explicitly from topics.
- 03Channel authentication
Microsoft channels such as Teams and SharePoint cannot be anonymous; 'No authentication' is only for public info and can't use user-credential tools.
- 04Non-solution-aware settings
Application Insights, manual auth, and Direct Line/Web channel security don't travel in the solution and must be reconfigured in each downstream environment.
- 05Agent identity sponsor
Every Microsoft Entra Agent ID identity needs a human sponsor accountable for its lifecycle; if the sponsor leaves, accountability transfers to their manager.
- 06DLP scope
Power Platform data policies apply at environment or tenant scope (never per user); the most restrictive policy wins when several apply.
- 07Over-delegation
Don't split into a connected agent for every subtask; start with one agent and split only when tool differentiation degrades (roughly above 30–40 action choices).
- 08Autonomous trigger credentials
Event triggers authenticate with the maker's credentials, and each autonomous action must be configured to run without requiring user input.
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