Microsoft AB-100 Exam Details & Actual Exam Questions

Exam Code/Number: AB-100
Exam Name/Title: Agentic AI Business Solutions Architect
Certification Provider: Microsoft
Corresponding Certification: Microsoft Certified

Exam Questions: 147
Updated On: Jul,15 2026
Certification Level: Expert

Microsoft Agentic AI Business Solutions Architect Exam Questions

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Microsoft AB-100 Exam Overview:

Certification Vendor:	Microsoft
Exam Name:	Agentic AI Business Solutions Architect
Exam Number:	AB-100
Certificate Validity Period:	12 months
Exam Format:	Case studies, Multiple choice, Scenario-based questions, Interactive question types
Available Languages:	English
Exam Duration:	100 minutes
Related Certifications:	Microsoft Certified: Dynamics 365 Microsoft Certified: Power Platform Microsoft Certified: Azure AI Fundamentals
Sample Questions:	Microsoft AB-100 Sample Questions
Exam Way:	Online proctored exam (with possible interactive/case-based components)
Pre Condition:	Recommended: Active Microsoft Associate-level certification in AI/Power Platform/Dynamics 365 (e.g., AI-102, PL-600, MB-910 or similar)
Official Syllabus URL:	https://learn.microsoft.com/en-us/credentials/certifications/agentic-ai-business-solutions-architect/

Microsoft AB-100 Exam Syllabus Topics:

Section

Weight

Objectives

Plan AI-powered business solutions

25%

- AI strategy and requirements analysis

1. Data grounding and quality assessment
2. Business data readiness for AI systems
3. Agent-based automation and decision-making

- AI solution design strategy

1. Custom vs prebuilt agent decisions
2. Multi-agent solution design
3. Model routing and SLM usage
4. Copilot Studio and Microsoft Foundry usage
5. ROI and TCO analysis
6. Cloud Adoption Framework for AI

Deploy AI-powered business solutions

45%

- Security, governance, and ALM

1. ALM for agents and models
2. Responsible AI compliance
3. Prompt injection mitigation
4. Audit trails and governance
5. Data residency and access control

- Monitoring and optimization

1. Agent telemetry and performance monitoring
2. AI-driven diagnostics and issue detection
3. Model tuning and feedback loops

- Testing and validation

1. End-to-end AI system testing
2. Multi-system scenario testing
3. Prompt validation and evaluation

Design AI-powered business solutions

30%

- Agent and solution design

1. Dynamics 365 AI integration
2. Task, autonomous, and prompt/response agents
3. Power Platform AI workflows
4. Copilot Studio agents and topics

- Extensibility and orchestration

1. Microsoft 365 Copilot agents
2. Computer Use automation
3. Agent2Agent (A2A) orchestration
4. Model Context Protocol (MCP)