Exam AB-731: AI Transformation Leader
Short proctored Microsoft certification exam focused on business strategy, adoption, and transformation with Microsoft AI services.
- Type
- Written
- Duration
- 45 min
Passing score: 700 Scaled score
Exam sections
Identify the business value of generative AI solutions
This section focuses on foundational generative AI concepts, including the differences between AI models, cost drivers like tokens and ROI, and common challenges such as fabrications and bias. It also covers prompt engineering techniques, retrieval-augmented generation (RAG), and the lifecycle of machine learning solutions.
Preparation tips
Focus on understanding the financial aspects of AI models, such as token-based pricing and ROI, and the technical impact of grounding using RAG.
Identify benefits, capabilities, and opportunities for Microsoft’s AI apps and services
Candidates must demonstrate an understanding of Microsoft 365 Copilot and Microsoft Copilot versions, including their integration with Microsoft Graph and Copilot Studio. The section also covers Azure AI services, Foundry Tools, and the decision-making process for building, buying, or extending AI solutions.
Preparation tips
Familiarize yourself with the specific capabilities of different Copilot versions and the extensibility framework for building or buying AI solutions.
Identify an implementation and adoption strategy for Microsoft’s AI apps and services
This section evaluates the ability to align AI strategy with responsible AI policies, emphasizing governance, ethics, and the establishment of AI councils. It also covers organizational adoption planning, identifying barriers, establishing champion programs, and understanding various licensing and subscription models.
Preparation tips
Review the six pillars of Microsoft's Responsible AI standard and strategies for overcoming organizational barriers during AI adoption.
