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