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Exam Information
Official specifications published by Microsoft
Exam Format
100 min
700
Advanced (Expert badge)
Registration
$165 USD
Pearson VUE or online proctoring
English
Validity
12 months (renewal frequency)
Free online renewal assessment on Microsoft Learn
AB-100 Exam Topics and Domains
AB-100 is organized into 3 weighted domains. Expect to work with Copilot Studio, Microsoft Foundry, Microsoft 365 Copilot, Dataverse, and more.
1
Plan AI-powered business solutions
27.5%
Analyze requirements for AI-powered business solutions
Assess the use of agents in task automation, data analytics, and decision-makingReview data for grounding, including accuracy, relevance, timeliness, cleanliness, and availabilityOrganize business solution data to be available for other AI systems
- Assess the use of agents in task automation, data analytics, and decision-making
- Review data for grounding, including accuracy, relevance, timeliness, cleanliness, and availability
- Organize business solution data to be available for other AI systems
Design overall AI strategy for business solutions
Implement the AI adoption process from the Cloud Adoption Framework for AzureDesign a multi-agent solution by using platforms such as Microsoft 365 Copilot, Copilot Studio, and Microsoft FoundryDetermine when to build custom agents or extend Microsoft 365 CopilotProvide prompt engineering guidelines, prompt library guidance, and small language model use casesInclude the elements of the Microsoft AI Center of Excellence and design AI solutions that use multiple Dynamics 365 apps
- Implement the AI adoption process from the Cloud Adoption Framework for Azure
- Design the strategy for building AI and agents in business solutions
- Design a multi-agent solution by using platforms such as Microsoft 365 Copilot, Copilot Studio, and Microsoft Foundry
- Develop the use cases for prebuilt agents in the solution
- Define the solution rules and constraints when building AI components with Copilot Studio, Microsoft Foundry and Foundry Tools
- Determine the use of generative AI and knowledge sources in agents built with Copilot Studio
- Determine when to build custom agents or extend Microsoft 365 Copilot
- Determine when custom AI models should be created
- Provide guidelines for creating a prompt library
- Develop the use cases for customized small language models for the solution
- Provide prompt engineering guidelines and techniques for AI-powered business solutions
- Include the elements of the Microsoft AI Center of Excellence
- Design AI solutions that use multiple Dynamics 365 apps
Evaluate the costs and benefits of an AI-powered business solution
Select ROI criteria and create an ROI analysis for AI-powered business solutionsAnalyze whether to build, buy, or extend AI components; implement a model router
- Select ROI criteria for AI-powered business solutions, including the total cost of ownership
- Create an ROI analysis for the proposed AI solution for a business process
- Analyze whether to build, buy, or extend AI components for business solutions
- Implement a model router to intelligently route requests to the most suitable model
2
Design AI-powered business solutions
27.5%
Design AI and agents for business solutions
Design Copilot customizations, business terms, and connectors for Dynamics 365 customer experience, service, and SalesDesign task agents, autonomous agents, and prompt and response agentsDesign topics, agents, agent flows, and prompt actions in Copilot Studio, including fallbackDesign data processing for AI models/grounding and AI components in Power Apps canvas apps
- Design business terms for Copilot in Dynamics 365 apps for customer experience and service
- Design customizations of Copilot in Dynamics 365 apps for customer experience and service
- Design connectors for Copilot in Dynamics 365 Sales
- Design agents for integration with Dynamics 365 Contact Center channels
- Design task agents
- Design autonomous agents
- Design prompt and response agents
- Propose Foundry Tools for a given requirement
- Propose code-first generative pages and the use of an agent feed for apps
- Design topics for Copilot Studio, including fallback
- Design data processing for AI models and grounding
- Design a business process to include AI components in a Power Apps canvas app
- Apply the Microsoft Power Platform Well-Architected Framework to intelligent application workloads
- Determine when to use standard natural language processing, conversational language understanding, or generative AI orchestration in Copilot Studio
- Design agents and agent flows with Copilot Studio
- Design prompt actions in Copilot Studio
Design extensibility of AI solutions
Design AI solutions using custom models in Microsoft Foundry and agents in Microsoft 365 CopilotDesign agent extensibility in Copilot Studio, including Model Context Protocol and Computer UseOptimize solution design by using agents in Microsoft 365, including Teams and SharePoint
- Design AI solutions by using custom models in Microsoft Foundry
- Design agents in Microsoft 365 Copilot
- Design agent extensibility in Copilot Studio
- Design agent extensibility with Model Context Protocol in Copilot Studio
- Design agents to automate tasks in apps and websites by using Computer Use in Copilot Studio
- Design agent behaviors in Copilot Studio, including reasoning and voice mode
- Optimize solution design by using agents in Microsoft 365, including Teams and SharePoint
Orchestrate configuration for prebuilt agents and apps
Orchestrate AI features across Dynamics 365 finance, supply chain, customer experience, and service appsPropose Microsoft 365 agents, Copilot for Sales/Service configuration, and Power Platform AI features including AI hub
- Orchestrate AI features in Dynamics 365 apps for finance and supply chain
- Orchestrate AI features in Dynamics 365 apps for customer experience and service
- Propose Microsoft 365 agents for business scenarios
- Orchestrate the configuration of Microsoft 365 Copilot for Sales and Microsoft 365 Copilot for Service
- Propose Microsoft Power Platform AI features, including AI hub
- Design interoperability of the finance and operations agent chats to use additional knowledge sources
- Recommend the process of adding knowledge sources to in-app help and guidance for Dynamics 365 Finance or Dynamics 365 Supply Chain Management apps
3
Deploy AI-powered business solutions
42.5%
Analyze, monitor, and tune AI-powered business solutions
Monitor agent performance, metrics, and telemetry for tuning
- Recommend the process and tools required for monitoring agents
- Analyze backlog and user feedback of AI and agent usage
- Apply AI-based tools to analyze and identify issues and perform tuning
- Monitor agent performance and metrics
- Interpret telemetry data for performance and model tuning
Manage the testing of AI-powered business solutions
Define testing processes, metrics, and validation criteria for agents and custom AI models
- Recommend the process and metrics to test agents
- Create validation criteria of custom AI models
- Validate effective Copilot prompt best practices
- Design end-to-end test scenarios of AI solutions that use multiple Dynamics 365 apps
- Build the strategy for creating test cases by using Copilot
Design the ALM process for AI-powered business solutions
Design ALM for data, Copilot Studio agents, Foundry Agents service, custom models, and Dynamics 365 AI
- Design the ALM process for data used in AI models and agents
- Design the ALM process for Copilot Studio agents, connectors, and actions
- Design the ALM process for Microsoft Foundry Agents service
- Design the ALM process for custom AI models
- Design the ALM process for AI in Dynamics 365 apps for finance and supply chain
- Design the ALM process for AI in Dynamics 365 apps for customer experience and service
Design responsible AI, security, governance, risk management, and compliance
Design security, governance, and model security for agentsDesign compliance controls: responsible AI, data residency, access controls, audit trails
- Design security for agents
- Design governance for agents
- Design model security
- Analyze solution and AI vulnerabilities and mitigations, including prompt manipulation
- Review solution for adherence to responsible AI principles
- Validate data residency and movement compliance
- Design access controls on grounding data and model tuning
- Design audit trails for changes to models and data
How do I earn this certification?
Passing AB-100 earns the Microsoft Certified: Agentic AI Business Solutions Architect certification. It sits in the AI / Business Applications track.
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The most effective way to prepare for AB-100 is by using the PlanetCert Simulator to practice questions and review detailed explanations.
What's changed on this exam?
Current Status
- ACTIVE
- Last content update: 2026-06-22
Updates
- Model Context Protocol (MCP) and Agent2Agent (A2A) in Copilot Studio Explicit study-guide objectives cover MCP-based agent extensibility and open agent protocols
- Computer Use in Copilot Studio Objective: design agents to automate tasks in apps and websites using Computer Use
- Microsoft Foundry (Foundry Tools, Foundry Models, Foundry Agents service) Foundry appears across planning, design, extensibility, and ALM objectives
Who should take this exam?
At least ONE of the following certifications:
Azure AI Apps and Agents Developer Associate (beta)
Dynamics 365 Business Central Developer Associate
Dynamics 365 Business Central Functional Consultant Associate
Dynamics 365 Customer Experience Analyst Associate
Dynamics 365 Customer Service Functional Consultant Associate
Dynamics 365 Field Service Functional Consultant Associate
Dynamics 365 Finance Functional Consultant Associate
Dynamics 365 Supply Chain Management Functional Consultant Associate
Dynamics 365 Finance and Operations Apps Developer Associate
Power Platform Functional Consultant Associate
Power Platform Developer Associate
Power Automate RPA Developer Associate
Azure AI Engineer Associate
AI Agent Builder Associate
- Experience designing and delivering AI-driven business solutions
- Comprehensive knowledge of core Dynamics 365 products, Microsoft Power Platform, Copilot Studio, Microsoft Foundry Tools, and Foundry Models
- Expertise with open standards and protocols including Agent2Agent (A2A) and Model Context Protocol (MCP)