Free Practice Questions for Microsoft AI Transformation Leader (AB-731) Certification

- Describe the differences between generative AI and other types of AI - Select a generative AI solution to meet a business need - Describe the differences between AI models, including fine-tuned and pretrained models - Explain the cost drivers in generative AI usage, including tokens and return-on-investment (ROI) considerations - Identify the challenges of using generative AI solutions, including fabrications, reliability, and bias - Identify when generative AI solutions can provide business value, including scalability and automation

- Describe the impact of prompt engineering - Understand techniques of prompt engineering - Identify business requirements for grounding solutions - Understand how retrieval-augmented generation (RAG) is used for AI solutions - Understand the impact of data on AI solutions, including data type, data quality, and representative datasets - Describe the importance of secure AI - Identify scenarios when machine learning adds value - Describe the lifecycle of a machine learning solution - Identify security considerations for AI systems, including application security, data security, and authentication requirements

- Map business processes and use cases to Copilot - Understand differences in capabilities between versions of Copilot - Understand capabilities of Microsoft 365 Copilot Chat web and mobile experiences - Understand capabilities of the Copilot experience in various Microsoft 365 apps - Understand capabilities of Microsoft Copilot Studio - Understand capabilities of Microsoft Graph - Identify benefits and capabilities of an integrated Microsoft AI solution, including risk mitigation and safety benefits - Map business processes and use cases to Microsoft’s AI apps and services - Identify when to use Researcher or Analyst in Copilot - Identify when to build, buy, or extend, including the Microsoft 365 Copilot extensibility framework

- Map business processes and use cases to Foundry Tools - Identify capabilities of Foundry Tools, including Azure Vision in Foundry Tools, Azure AI Search, and Microsoft Foundry - Match an AI model to a business need - Identify the benefits of Microsoft Foundry and Foundry Tools, including scalability and security

- Explain the importance of responsible AI - Establish governance principles for AI use - Establish an AI council to guide strategy, oversight, and cross-functional alignment - Ensure that AI solutions meet responsible AI standards, including fairness, reliability, safety, privacy, security, inclusiveness, transparency, and accountability

- Establish an adoption team - Identify common barriers to adoption - Establish an AI champions program - Understand potential impacts to data, security, privacy, and cost - Understand Copilot license types, including pay-as-you go, monthly, and included with Microsoft 365 subscription - Understand Foundry Tools subscription models, including pay-as-you-go and commitment tiers