Annex C — Objective-to-chapter map

Full traceability from each exam's skills measured (as of July 22, 2026) to the chapters that cover them.

AB-730 — AI Business Professional

Domain (weight)	Objective group	Chapter(s)
1. Understand generative AI fundamentals (25–30%)	Generative AI capabilities across Microsoft 365 experiences	1, 2, 5
	Responsible AI and data protection practices	4
2. Manage prompts and conversations by using AI (35–40%)	Create and manage prompts in Microsoft 365 Copilot	3, 6
	Manage conversations in Microsoft 365 Copilot	7
	Create and manage Microsoft 365 Copilot agents	8
3. Draft and analyze business content by using AI (25–30%)	Draft business documents and communications	9
	Manage meetings and collaboration	10

AB-731 — AI Transformation Leader

Domain (weight)	Objective group	Chapter(s)
1. Identify the business value of generative AI solutions (35–40%)	Foundational concepts of generative AI	1
	Benefits and capabilities of generative AI solutions (prompting, grounding, RAG, secure AI)	2, 3, 4
	Business value, cost drivers, ROI	14
2. Identify benefits, capabilities & opportunities for Microsoft's AI apps and services (35–40%)	Microsoft 365 Copilot and Microsoft Copilot	11
	Copilot Studio, Microsoft Graph, build/buy/extend, extensibility	12
	Foundry Tools	13
3. Identify an implementation and adoption strategy (20–25%)	Align an AI strategy with responsible AI policies	15
	Plan for AI adoption across the organization	16
	Licensing and subscription models	14

🎯 Exam tip: use this table to find and close any gaps. If you can confidently answer the practice questions for every chapter listed, you have covered every published objective.