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AB-100

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

A 3-week study plan aligned to official AB-100 exam domains.

Exam Information

100 minutes

Duration

60 questions (approx.)

Questions

700 (scaled)

Passing Score

See official exam pricing

Exam Cost

Recommended Study Plan

Week 1

Plan AI-Powered Business Solutions

28% of exam

10-12 hours

Focus: Grounding data quality directly impacts agent accuracy — plan data pipelines first
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

Recommended Resources:

Microsoft official objectives

/certifications/microsoft/ab-100/notes#plan-ai-powered-business-solutions

/certifications/microsoft/ab-100/practice

/certifications/microsoft/ab-100/study-guide

Week 2

Design AI-Powered Solutions

27% of exam

10-12 hours

Focus: MCP standardizes how agents connect to external systems
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

Recommended Resources:

Microsoft official objectives

/certifications/microsoft/ab-100/notes#design-ai-powered-business-solutions

/certifications/microsoft/ab-100/practice

/certifications/microsoft/ab-100/study-guide

Week 3

Deploy & Govern AI Solutions

45% of exam

10-12 hours

Focus: ALM applies to agents, connectors, and actions — not just code
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

Recommended Resources:

Microsoft official objectives

/certifications/microsoft/ab-100/notes#deploy-ai-powered-business-solutions

/certifications/microsoft/ab-100/practice

/certifications/microsoft/ab-100/study-guide

Week 4

Final Review & Practice Exams

All domains

8-10 hours

Complete all three full-length practice exams
Review incorrect answers and weak domains
Revisit flashcards for key terms
Timed review of highest-weight domains

Recommended Resources:

Practice exams

Flashcards

Study notes PDF

Exam Tips & Strategies

Domain Insight 1

Grounding data quality directly impacts agent accuracy — plan data pipelines first

Domain Insight 2

Extend prebuilt agents before building from scratch when requirements align

Follow Domain Weights

Spend more study time on higher-weighted domains — they drive the majority of exam questions.

Practice Under Time Pressure

Use timed practice exams to build pacing before test day.

Key Topics to Master

Assess agent use in task automation, data analytics, and decision-making

Review data for grounding (accuracy, relevance, timeliness, availability)

Task agents, autonomous agents, prompt and response agents

Copilot Studio: topics, fallback, agent flows, prompt actions

Agent monitoring tools and performance metrics

Telemetry data interpretation for tuning

For the most up-to-date exam information, visit the official exam guide.

View Official Exam Guide

AB-100

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

A 3-week study plan aligned to official AB-100 exam domains.

Exam Information

100 minutes

Duration

60 questions (approx.)

Questions

700 (scaled)

Passing Score

See official exam pricing

Exam Cost

Recommended Study Plan

Week 1

Plan AI-Powered Business Solutions

28% of exam

10-12 hours

Focus: Grounding data quality directly impacts agent accuracy — plan data pipelines first
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

Recommended Resources:

Microsoft official objectives

/certifications/microsoft/ab-100/notes#plan-ai-powered-business-solutions

/certifications/microsoft/ab-100/practice

/certifications/microsoft/ab-100/study-guide

Week 2

Design AI-Powered Solutions

27% of exam

10-12 hours

Focus: MCP standardizes how agents connect to external systems
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

Recommended Resources:

Microsoft official objectives

/certifications/microsoft/ab-100/notes#design-ai-powered-business-solutions

/certifications/microsoft/ab-100/practice

/certifications/microsoft/ab-100/study-guide

Week 3

Deploy & Govern AI Solutions

45% of exam

10-12 hours

Focus: ALM applies to agents, connectors, and actions — not just code
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

Recommended Resources:

Microsoft official objectives

/certifications/microsoft/ab-100/notes#deploy-ai-powered-business-solutions

/certifications/microsoft/ab-100/practice

/certifications/microsoft/ab-100/study-guide

Week 4

Final Review & Practice Exams

All domains

8-10 hours

Complete all three full-length practice exams
Review incorrect answers and weak domains
Revisit flashcards for key terms
Timed review of highest-weight domains

Recommended Resources:

Practice exams

Flashcards

Study notes PDF

Exam Tips & Strategies

Domain Insight 1

Grounding data quality directly impacts agent accuracy — plan data pipelines first

Domain Insight 2

Extend prebuilt agents before building from scratch when requirements align

Follow Domain Weights

Spend more study time on higher-weighted domains — they drive the majority of exam questions.

Practice Under Time Pressure

Use timed practice exams to build pacing before test day.

Key Topics to Master

Assess agent use in task automation, data analytics, and decision-making

Review data for grounding (accuracy, relevance, timeliness, availability)

Task agents, autonomous agents, prompt and response agents

Copilot Studio: topics, fallback, agent flows, prompt actions

Agent monitoring tools and performance metrics

Telemetry data interpretation for tuning

For the most up-to-date exam information, visit the official exam guide.

View Official Exam Guide