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Microsoft Exam Syllabus

AB-100 syllabus, skills measured, and exam topics

The AB-100 exam measures Plan AI-powered business solutions, Design AI-powered business solutions, and Deploy AI-powered business solutions. Use this page to review the current official syllabus, major domains, and source links before exam day.

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Skills measured by domain

Use the weighting table to decide where to spend the most study time.

Domain Weight
Plan AI-powered business solutions 25–30%
Design AI-powered business solutions 25–30%
Deploy AI-powered business solutions 40–45%

Detailed outline

Scan each section as a working study checklist instead of one long wall of text.

Plan AI-powered business solutions (25–30%)

  • 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
  • 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

Design AI-powered business solutions (25–30%)

  • 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

Deploy AI-powered business solutions (40–45%)

  • 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
  • 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 data used in AI models and agents
  • Design the ALM process for Copilot Studio agents, connectors, and actions

Purpose of this document

  • This study guide should help you understand what to expect on the exam and includes a summary of the topics the exam might cover and links to additional resources. The information and materials in this document should help you focus your studies as you prepare for the exam.
  • Useful links: Description
  • Certification renewal: Microsoft associate, expert, and specialty certifications expire annually. You can renew by passing a free online assessment on Microsoft Learn.
  • Your Microsoft Learn profile: Connecting your certification profile to Microsoft Learn allows you to schedule and renew exams and share and print certificates.
  • Exam scoring and score reports: A score of 700 or greater is required to pass.
  • Exam sandbox: You can explore the exam environment by visiting our exam sandbox.
  • Request accommodations: If you use assistive devices, require extra time, or need modification to any part of the exam experience, you can request an accommodation.

Updates to the exam

  • Some exams are localized into other languages, and those are updated approximately eight weeks after the English version is updated. If the exam isn't available in your preferred language, you can request an additional 30 minutes to complete the exam.
  • The bullets that follow each of the skills measured are intended to illustrate how we are assessing that skill. Related topics may be covered in the exam.
  • Most questions cover features that are general availability (GA). The exam may contain questions on Preview features if those features are commonly used.

Audience profile

  • As a candidate for this exam, you’re an accomplished solution architect with expertise in designing and delivering AI-driven business solutions that transform business processes and foster innovation. You’re experienced in creating scalable, secure, and integrated solutions that use multiple Microsoft services to address complex organizational challenges.
  • Expertise in architecting solutions that use AI, including generative AI and various Foundry Tools tailored to meet business objectives.
  • The ability to design agentic-first solutions.
  • Skills in designing multi-agent orchestrated solutions.
  • Experience designing secure and scalable cross-platform AI solutions.
  • Comprehensive knowledge of core Dynamics 365 products, Microsoft Power Platform, Microsoft Copilot Studio, Microsoft Foundry Tools, and Foundry Models.
  • Proficiency in working with agents created by using Copilot Studio, AI prompts, Microsoft Foundry, and working knowledge of multiple language models to create intelligent solutions.
  • Proficiency in adopting frameworks and delivering measurable outcomes aligned with enterprise success metrics and architecture patterns.
  • Expertise in working with open standards and protocols, including Agent2Agent (A2A) and Model Context Protocol (MCP).
  • Expertise in responsible AI practices, helping to ensure compliance and advocating for the Microsoft Responsible AI Standard.
  • Strong leadership in orchestrating AI features in Microsoft business applications to optimize operations and unlock growth opportunities.
  • Skills in securing AI models and data workflows, including detecting and resolving vulnerabilities, enforcing data residency and access controls, safeguarding model tuning, tracking changes, maintaining audit trails, and defending against prompt manipulation.