Free Practice Questions for Microsoft AI Transformation Leader (AB-731) Certification
Study with 341 exam-style practice questions designed to help you prepare for the Microsoft AI Transformation Leader (AB-731).
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Exam Details
Key information about Microsoft AI Transformation Leader (AB-731)
- Multiple choice
- Ordering
- Matching
- True/False
- Fill in the blank
Experience leading adoption or change management in a business context; familiarity with Microsoft 365 services, Microsoft Foundry, and general AI capabilities
Business decision-makers at all levels responsible for guiding transformation and innovation within their teams or organizations
Exam Topics & Skills Assessed
Skills measured (from the official study guide)
Identify the business value of generative AI solutions (35–40%)(35–40%)
Identify the foundational concepts of generative AI
- Differentiate generative AI from other AI types
- Select generative AI for business needs
- Describe AI model differences (fine-tuned, pretrained)
- Explain generative AI cost drivers (tokens, ROI)
- Identify generative AI challenges (fabrications, bias)
- Identify generative AI business value (scalability, automation)
Identify benefits and capabilities of generative AI solutions
- Describe prompt engineering impact
- Understand prompt engineering techniques
- Identify grounding solution requirements
- Understand RAG for AI solutions
- Understand data impact on AI (type, quality)
- Describe secure AI importance
- Identify machine learning value scenarios
- Describe ML solution lifecycle
- Identify AI system security considerations
Identify benefits, capabilities, and opportunities for Microsoft’s AI apps and services (35–40%)(35–40%)
Identify benefits and capabilities of Microsoft 365 Copilot and Microsoft Copilot
- Map business processes to Copilot
- Understand Copilot version differences
- Understand Copilot Chat web/mobile capabilities
- Understand Copilot in Microsoft 365 apps
- Understand Microsoft Copilot Studio
- Understand Microsoft Graph
- Identify integrated Microsoft AI benefits
- Map business processes to Microsoft AI
- Identify Researcher/Analyst use in Copilot
- Identify build, buy, extend (Copilot extensibility)
Identify benefits and capabilities of Foundry Tools
- Map business processes to Foundry Tools
- Identify Foundry Tools capabilities (Azure Vision, AI Search)
- Match AI model to business need
- Identify Microsoft Foundry/Tools benefits
Identify an implementation and adoption strategy for Microsoft’s AI apps and services (20–25%)(20–25%)
Align an AI strategy with Microsoft responsible AI policies
- Explain responsible AI importance
- Establish AI governance principles
- Establish AI council for strategy
- Ensure AI solutions meet responsible AI standards
Plan for AI adoption across the organization
- Establish AI adoption team
- Identify AI adoption barriers
- Establish AI champions program
- Understand data, security, privacy, cost impacts
- Understand Copilot license types
- Understand Foundry Tools subscription models
Techniques & products