azure
MicrosoftSpecialty

Agentic AI Business Solutions Architect (AB-100)

AB-100

An architect-level Microsoft certification for solution architects who design AI- and agent-first business solutions for the enterprise. It follows the full lifecycle: planning a solution from requirements through AI strategy and ROI, designing agents and solutions on Copilot Studio, Microsoft Foundry, and Dynamics 365, and deploying them with monitoring, testing, application lifecycle management, and responsible AI, security, and governance. It also covers orchestrating several agents together and open standards such as A2A and MCP.

Questions

50

Duration

120 min

Passing Score

700/ 1000

Our Questions

202+

Target Audience

Experienced solution architects designing scalable, secure, integrated AI/agent solutions across Microsoft business applications (Dynamics 365, Power Platform, Copilot Studio, Microsoft Foundry, Microsoft 365 Copilot).

Prerequisites

Not for beginners. Assumes hands-on experience architecting AI/generative-AI solutions and building agents with Copilot Studio, Microsoft Foundry, and Microsoft 365 Copilot, plus knowledge of Dynamics 365, Power Platform, open protocols (A2A, MCP), and responsible AI.

Question Types

Single ChoiceMultiple ChoiceDropdownYes/No MatrixDrag & Drop

Language & Recognition

Official Exam Languages

EnglishJapaneseKoreanSpanish (ES)Portuguese (BR)

PasslyExam Languages

EnglishKoreanJapaneseSpanishPortuguese

Recognition Scope

Global

Microsoft Certified: Agentic AI Business Solutions Architect — a globally recognized architect-level credential (currently in beta; renews annually via a free online assessment).

Exam Domains

3Domains

Plan AI-powered business solutions

27%

Design AI-powered business solutions

27%

Deploy AI-powered business solutions

46%

Recommended Study Plan

  • Week 1 (Plan): First set the bar for when an agent is the right fit — distinguish task/autonomous/prompt-and-response agents, grounding-data quality (accuracy, relevance, timeliness, cleanliness, availability), and the criteria for "extend M365 Copilot vs custom agent vs custom model".
  • Week 2 (Design): Learn each platform's role — Copilot Studio (topics, fallback, agent flows, generative orchestration vs classic NLP/CLU), Microsoft Foundry (custom models, model router), Copilot in Dynamics 365, plus extensibility (MCP), Computer Use, and placement in Teams/SharePoint.
  • Week 3 (Deploy, largest weight): Focus on operations — monitoring and telemetry interpretation, agent testing and validation criteria, ALM (environment strategy, Copilot Studio, Foundry Agent Service, custom models), and responsible AI, security, and governance (prompt-manipulation defense, data residency, audit trails).
  • Week 4: Nail the standards and protocols — the difference between A2A (agent-to-agent interoperability) and MCP (connecting to tools and data), plus ROI/TCO and the build-buy-extend decision.
  • Before the exam: as an architect exam, practice explaining "given a requirement and its constraints, which platform, agent pattern, or control you choose and why".

Question Validation Process

Aligned with official guide scopeAnswer–explanation consistency checkedDuplicate/similarity filtering applied

Try the practice set directly and judge real-exam similarity yourself.

Frequently Asked Questions

Q. What is the AB-100 exam?

A. It is a Microsoft architect-level (specialty) certification that validates planning, designing, and deploying AI- and agent-powered business solutions (currently in beta). It spans Copilot Studio, Microsoft Foundry, Dynamics 365, Power Platform, and Microsoft 365 Copilot, and covers multi-agent orchestration and open standards such as A2A and MCP. The point is not recall but choosing the best design given the requirements and constraints.

Q. How is it different from AB-900?

A. The codes look alike, but they are different exams. AB-900 is a fundamentals exam focused on administering M365 Copilot and agents; AB-100 is an architect-level exam about designing solutions. AB-100 is far deeper, with scenario-based design trade-offs (platform, agent pattern, model choice) and a heavy weight on deployment and governance. Beginners should take AB-900 first.

Q. Which area weighs the most, and what should I watch for?

A. Deploy is the largest at 40–45%: monitoring and telemetry, testing and validation, ALM, and responsible AI, security, and governance. Common traps: (1) confusing A2A and MCP (A2A = agent-to-agent interoperability; MCP = connecting to tools and data), (2) mis-choosing between extending M365 Copilot, a custom agent, or a custom model, (3) confusing generative orchestration with classic NLP/CLU in Copilot Studio, and (4) mixing up prompt-manipulation defense with data residency or audit trails.

Q. How exactly do A2A and MCP differ?

A. A2A (Agent2Agent) is an open "agent-to-agent" protocol that lets agents from different frameworks or vendors discover and communicate with each other. MCP (Model Context Protocol) connects an agent or model to external tools, data, and knowledge sources in a uniform way. In one line: A2A is agent↔agent; MCP is agent↔tools/data. Distractors that swap the two are common.

Q. How do I tell task, autonomous, and prompt-and-response agents apart?

A. A task agent performs a single, well-scoped task. An autonomous agent runs on its own — event- or trigger-driven — and reasons across multiple steps with minimal human input. A prompt-and-response agent is conversational Q&A grounded in knowledge sources. The exam gives a scenario and asks which type fits, so decide by how it is triggered (a person asking vs an event kicking it off) and how much autonomy it needs.

Q. When do I extend M365 Copilot vs build a custom agent or model?

A. Extend Microsoft 365 Copilot when you are adding capability to existing productivity experiences (Word, Teams, etc.). Build a custom agent with Copilot Studio or Microsoft Foundry when you need a standalone or specialized workflow. Create a custom model only when prebuilt or foundation models cannot meet your domain or accuracy needs. Rule of thumb for platform choice: low-code business scenarios → Copilot Studio; pro-code, advanced orchestration, and model routing → Microsoft Foundry.

Q. How should I prepare? (beta note)

A. Because it targets experienced architects, the most effective prep is building real agents with Copilot Studio and Microsoft Foundry and walking through the AI features of Dynamics 365/Power Platform. It is a beta exam, so commonly used Preview features may appear alongside GA ones — check recent documentation. You pass with 700 of 1000, and the certification renews annually via a free online assessment.

Q. How do practice questions and the timed mock exam differ?

A. Practice questions are solved by topic with answer explanations to shore up weak areas; the timed mock exam is taken like the real thing. Both use original questions with AI tutor explanations.

Q. Is this similar to exam dumps?

A. PasslyExam does not provide leaked dumps. Our content is built from official guides and public exam objectives, then tuned to reflect realistic question patterns and difficulty distribution. The focus is practical readiness with explanation-based learning, not memorization of leaked items.

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Questions last updated: 2026-08-10Up to date