Microsoft Certified – Agentic AI Business Solutions Architect Expert (AB-100)

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Expert-level design of agentic business solutions across Copilot, Copilot Studio, Dynamics 365 and Power Platform.

Who it's for: Solution architects and senior consultants in the Microsoft business-apps ecosystem.

Exam facts

Provider
Microsoft
Cost
$165
Format
Proctored exam
Passing score
700/1000
Validity
1 yr
Renewal
Free annual online renewal assessment
Prerequisites
One qualifying associate cert (e.g. AI-103, AI-300, AB-620, PL-400, AB-210, AB-410, AB-250)
Study time (est.)
60–100 hours
Difficulty
●●●●○ (4/5)
Employer demand
●●●○○ (3/5)
Atlas score
73/100
Official page
learn.microsoft.com
Last verified
2026-10-18

Learning plan

About 80 hours of focused study, split into 5 phases. Pick your weekly pace and the timeline adjusts.

Estimated finish: 8 weeks

What the exam covers

DomainWeight
Plan AI-powered business solutions25–30%
Design AI-powered business solutions25–30%
Deploy AI-powered business solutions40–45%

Source: official exam guide. Weights can change, so check before you start.

Before you start

  1. Weeks 1–2 · 18 h

    AI strategy, ROI and build-vs-buy

    • Apply the AI adoption process from the Cloud Adoption Framework (strategy, plan, ready, govern, manage) to a business scenario
    • Decide when to extend Microsoft 365 Copilot, use a prebuilt agent, build in Copilot Studio, or go code-first in Microsoft Foundry
    • Build an ROI and total cost of ownership case for an agent that automates a real process, including licensing and model consumption
    • Assess grounding data for accuracy, relevance, timeliness and access, and decide when a fine-tuned small language model or a model router is justified
    • Describe the parts of an AI Center of Excellence and what a governed prompt library contains

    Use: AB-100 study guide · AB-100T00 Architecting agentic AI business solutions · Cloud Adoption Framework for AI

  2. Weeks 2–4 · 20 h

    Designing agents in Copilot Studio and Dynamics 365

    • Choose between task, autonomous, and prompt-and-response agents for a scenario
    • Design Copilot Studio topics with fallback, and decide between classic NLU, CLU and generative orchestration
    • Extend agents with connectors, prompt actions, agent flows, Model Context Protocol servers and Computer Use
    • Design Copilot features in Dynamics 365 Sales, Customer Service and Contact Center, including connectors for Copilot in Sales
    • Apply the Power Platform Well-Architected Framework to an intelligent app workload

    Hands-on: In a Copilot Studio trial, build an agent grounded on a SharePoint site or uploaded policy PDFs, with generative orchestration on, one custom topic with a fallback, and one MCP or connector action. Test it with five prompts and note which ones trigger the action.

    Use: Microsoft Copilot Studio documentation · Extend Copilot Studio agents with MCP · Power Platform Well-Architected

  3. Weeks 4–5 · 12 h

    Prebuilt agents and multi-agent orchestration

    • Propose Microsoft 365 agents and Copilot for Sales or Service for given business scenarios
    • Orchestrate AI features in Dynamics 365 finance and supply chain apps, including adding knowledge sources to in-app help
    • Design a multi-agent solution that spans Microsoft 365 Copilot, Copilot Studio and Foundry, using A2A or MCP between agents
    • Know which Power Platform AI features (AI hub, AI prompts, generative pages) fit low-code makers

    Use: Microsoft Foundry documentation · Microsoft 365 Copilot documentation

  4. Weeks 6–7 · 20 h

    Deploy - ALM, testing, monitoring and governance (largest domain)

    • Design ALM for Copilot Studio agents, connectors and actions with solutions, environment strategy and pipelines, and for Foundry Agent Service and custom models
    • Define test metrics and validation criteria for agents and custom models, and design end-to-end tests across several Dynamics 365 apps
    • Monitor agents with analytics and telemetry, triage user feedback and tune topics or prompts
    • Design security and governance for agents - access controls on grounding data, data residency, audit trails for model and data changes
    • Identify prompt injection and other AI vulnerabilities and their mitigations, and review a design against responsible AI principles

    Hands-on: Package the Copilot Studio agent from phase 2 in a solution, move it from a dev environment to a test environment as a managed solution, and review its analytics after ten test conversations to find the topic with the lowest resolution rate.

    Use: Power Platform ALM documentation · Foundry observability and evaluation

  5. Week 8 · 10 h

    Practice assessment and case-study review

    • Take the free AB-100 practice assessment and map misses to plan, design or deploy, weighting deploy (40–45%) highest
    • For three sample business cases, write a one-page architecture that names the platform, agent type, ALM path and governance controls
    • Practise scanning Microsoft Learn quickly, since it is available during the exam

    Use: AI Skills Navigator practice assessment · Microsoft exam sandbox

You're ready to book when…

Exam tips

Recommended resources

Start with the provider's official exam guide and free training, then use practice exams to find your weak domains. We never link to exam dumps, which break exam agreements and can get you decertified.

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