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Microsoft Certified:Agentic AI Business Solutions Architect

AB-100

The Microsoft Certified: Agentic AI Business Solutions Architect certification validates your expertise in designing AI-driven business solutions. It is aimed at solution architects responsible for creating scalable, secure, and integrated solutions using Microsoft services. Earning it demonstrates your ability to transform business processes and foster innovation.

463 practice questions · Updated 2026-07-30

3Domains
10Objectives
87Concepts
463Questions

AB-100 Curriculum

Every domain, objective, and concept the AB-100 exam measures.

  1. Agent Utilization in Task Automation
  2. Agent Utilization in Data Analytics
  3. Agent Utilization in Decision-Making
  4. Data Grounding Accuracy
  5. Data Grounding Relevance
  6. Data Grounding Timeliness
  7. Data Grounding Cleanliness
  8. Data Grounding Availability
  9. Data Organization for AI Systems
  1. AI Adoption Process
  2. AI Strategy Design
  3. Multi-Agent Solution Design
  4. Prebuilt Agents Use Cases
  5. Solution Rules and Constraints
  6. Generative AI and Knowledge Sources
  7. Custom Agents Decision
  8. Custom AI Models Decision
  9. Prompt Library Guidelines
  10. Customized Language Models Use Cases
  11. Prompt Engineering Techniques
  12. Microsoft AI Center of Excellence
  13. Dynamics 365 AI Solutions
  1. ROI Criteria Selection
  2. ROI Analysis Creation
  3. Build vs Buy vs Extend Analysis
  4. Model Router Implementation

  1. Business Terms Design
  2. Copilot Customizations
  3. Sales Connectors Design
  4. Contact Center Integration
  5. Task Agents Design
  6. Autonomous Agents Design
  7. Prompt and Response Agents
  8. Foundry Tools Proposal
  9. Generative Pages and Agent Feed
  10. Copilot Studio Topics Design
  11. AI Data Processing Design
  12. AI in Power Apps
  13. Power Platform Framework Application
  14. NLP and AI Orchestration
  15. Agent Flows Design
  16. Prompt Actions Design

Design extensibility of AI solutions

7 concepts · 41 questions
  1. Custom Model Design in Microsoft Foundry
  2. Agent Design in Microsoft 365 Copilot
  3. Agent Extensibility in Copilot Studio
  4. Model Context Protocol in Copilot Studio
  5. Task Automation with Computer Use in Copilot Studio
  6. Agent Behaviors in Copilot Studio
  7. Solution Optimization with Microsoft 365 Agents
  1. AI Features in Dynamics 365 Finance
  2. AI Features in Dynamics 365 Supply Chain
  3. AI Features in Dynamics 365 Customer Experience
  4. AI Features in Dynamics 365 Service
  5. Microsoft 365 Agents Proposal
  6. Microsoft 365 Copilot Configuration for Sales
  7. Microsoft 365 Copilot Configuration for Service
  8. Power Platform AI Features Proposal
  9. Finance and Operations Agent Interoperability
  10. Adding Knowledge Sources to Dynamics 365 Help

  1. Monitoring Tools Recommendation
  2. Monitoring Process Design
  3. Backlog Analysis
  4. User Feedback Analysis
  5. AI Issue Identification
  6. AI Solution Tuning
  7. Agent Performance Monitoring
  8. Telemetry Data Interpretation
  1. Agent Testing Process
  2. Agent Testing Metrics
  3. Custom AI Model Validation Criteria
  4. Copilot Prompt Best Practices
  5. End-to-End Test Scenarios Design
  6. Copilot Test Case Strategy
  1. Data ALM Process Design
  2. Copilot Studio ALM Process
  3. Microsoft Foundry Agents ALM
  4. Custom AI Models ALM
  5. AI in Dynamics 365 Finance ALM
  6. AI in Dynamics 365 Customer Experience ALM
  1. Agent Security Design
  2. Agent Governance Design
  3. Model Security Design
  4. AI Vulnerability Analysis
  5. Responsible AI Review
  6. Data Residency Compliance
  7. Access Control Design
  8. Audit Trail Design
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Percentages reflect share of the current practice bank, not official exam weightings — no structured per-skill weight is published for AB-100, so none is invented.