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Back to Agentic AI Business Solutions Architect (AB-100)

Agentic AI Business Solutions Architect (AB-100) Study Guide

Domain-by-domain study guide for Microsoft Certified: Agentic AI Business Solutions Architect (AB-100). Covers all 3 exam objectives with topic checklists, quick notes, and practice links.

Download PDF Notes

Exam Overview

Key facts before you start studying

Duration

100 min

Questions

Exam Code

AB-100

Domains

Quick Navigation

Jump to a specific exam domain

1. Plan AI-powered business solutions (28%)
2. Design AI-powered business solutions (27%)
3. Deploy AI-powered business solutions (45%)

Domain 1

28%

Plan AI-powered business solutions

Analyze requirements, design AI strategy, and evaluate costs and benefits for agentic AI business solutions

Topics to Master

Assess agent use in task automation, data analytics, and decision-making
Review data for grounding (accuracy, relevance, timeliness, availability)
Cloud Adoption Framework AI adoption process
Design multi-agent solutions with Copilot Studio and Microsoft Foundry
Prebuilt agent use cases and customization
Prompt engineering guidelines and prompt library design
Small language model (SLM) use cases
ROI analysis and build/buy/extend decisions
Model router for intelligent request routing
Microsoft AI Center of Excellence

Domain 2

27%

Design AI-powered business solutions

Design agents, extensibility patterns, and orchestrated configurations for Dynamics 365, Copilot Studio, and Microsoft Foundry

Topics to Master

Task agents, autonomous agents, prompt and response agents
Copilot Studio: topics, fallback, agent flows, prompt actions
Microsoft Foundry: custom models, Foundry Tools, agent design
Agent extensibility with Model Context Protocol (MCP)
Computer Use agents in Copilot Studio
Agent behaviors: reasoning and voice mode
Dynamics 365 Copilot customizations (Sales, Customer Service, Contact Center)
Power Platform AI features and AI hub
Power Platform Well-Architected Framework for intelligent workloads
Microsoft 365 Copilot agents (Teams, SharePoint)
Orchestrating AI in Dynamics 365 Finance and Supply Chain

Domain 3

45%

Deploy AI-powered business solutions

Monitor, test, manage ALM, and ensure responsible AI governance for deployed agentic solutions

Topics to Master

Agent monitoring tools and performance metrics
Telemetry data interpretation for tuning
Testing strategies and validation criteria for AI agents
ALM for Copilot Studio agents, connectors, and actions
ALM for Microsoft Foundry agents and custom AI models
ALM for Dynamics 365 AI features
Security design for agents and AI models
Governance for agents and responsible AI principles
Prompt manipulation defense and AI vulnerability analysis
Data residency, movement compliance, access controls
Audit trails for model and data changes

Continue Your Prep

Free CertStud resources for AB-100

Study Notes Exam Study Plan Start Practice Test

Back to Agentic AI Business Solutions Architect (AB-100)

Agentic AI Business Solutions Architect (AB-100) Study Guide

Domain-by-domain study guide for Microsoft Certified: Agentic AI Business Solutions Architect (AB-100). Covers all 3 exam objectives with topic checklists, quick notes, and practice links.

Download PDF Notes

Exam Overview

Key facts before you start studying

Duration

100 min

Questions

Exam Code

AB-100

Domains

Quick Navigation

Jump to a specific exam domain

1. Plan AI-powered business solutions (28%)
2. Design AI-powered business solutions (27%)
3. Deploy AI-powered business solutions (45%)

Domain 1

28%

Plan AI-powered business solutions

Analyze requirements, design AI strategy, and evaluate costs and benefits for agentic AI business solutions

Topics to Master

Assess agent use in task automation, data analytics, and decision-making
Review data for grounding (accuracy, relevance, timeliness, availability)
Cloud Adoption Framework AI adoption process
Design multi-agent solutions with Copilot Studio and Microsoft Foundry
Prebuilt agent use cases and customization
Prompt engineering guidelines and prompt library design
Small language model (SLM) use cases
ROI analysis and build/buy/extend decisions
Model router for intelligent request routing
Microsoft AI Center of Excellence

Domain 2

27%

Design AI-powered business solutions

Design agents, extensibility patterns, and orchestrated configurations for Dynamics 365, Copilot Studio, and Microsoft Foundry

Topics to Master

Task agents, autonomous agents, prompt and response agents
Copilot Studio: topics, fallback, agent flows, prompt actions
Microsoft Foundry: custom models, Foundry Tools, agent design
Agent extensibility with Model Context Protocol (MCP)
Computer Use agents in Copilot Studio
Agent behaviors: reasoning and voice mode
Dynamics 365 Copilot customizations (Sales, Customer Service, Contact Center)
Power Platform AI features and AI hub
Power Platform Well-Architected Framework for intelligent workloads
Microsoft 365 Copilot agents (Teams, SharePoint)
Orchestrating AI in Dynamics 365 Finance and Supply Chain

Domain 3

45%

Deploy AI-powered business solutions

Monitor, test, manage ALM, and ensure responsible AI governance for deployed agentic solutions

Topics to Master

Agent monitoring tools and performance metrics
Telemetry data interpretation for tuning
Testing strategies and validation criteria for AI agents
ALM for Copilot Studio agents, connectors, and actions
ALM for Microsoft Foundry agents and custom AI models
ALM for Dynamics 365 AI features
Security design for agents and AI models
Governance for agents and responsible AI principles
Prompt manipulation defense and AI vulnerability analysis
Data residency, movement compliance, access controls
Audit trails for model and data changes

Continue Your Prep

Free CertStud resources for AB-100

Study Notes Exam Study Plan Start Practice Test