Practice Exams | Microsoft AB-731: AI Transformation Leader

Be prepared for the Microsoft AB-731: AI Transformation Leader Exam

In order to set realistic expectations, please note: These questions are NOT official questions that you will find on the official exam. These questions DO cover all the material outlined in the knowledge sections below. Many of the questions are based on fictitious scenarios which have questions posed within them.

The official knowledge requirements for the exam are reviewed routinely to ensure that the content has the latest requirements incorporated in the practice questions. Updates to content are often made without prior notification and are subject to change at any time.

Each question has a detailed explanation and links to reference materials to support the answers which ensures accuracy of the problem solutions.

The questions will be shuffled each time you repeat the tests so you will need to know why an answer is correct, not just that the correct answer was item "B" last time you went through the test.

NOTE: This course should not be your only study material to prepare for the official exam. These practice tests are meant to supplement topic study material.

Should you encounter content which needs attention, please send a message with a screenshot of the content that needs attention and I will be reviewed promptly. Providing the test and question number do not identify questions as the questions rotate each time they are run. The question numbers are different for everyone.

As a candidate for this Microsoft Certification, you should understand how to recognize opportunities for AI transformation, identify the right AI tools and resources, plan for AI adoption, optimize business processes, and drive innovation by using Microsoft 365 Copilot and Azure AI services.

This Certification is designed for business decision-makers at all levels who are responsible for guiding transformation and innovation within their teams or organizations. In this role, you’re expected to demonstrate AI fluency, strategic vision, and the ability to lead AI adoption across teams and functions but are not expected to write any code.

As a candidate for this Certification, you should be able to evaluate AI opportunities, champion responsible AI practices, and align AI investments with business goals. You need experience leading adoption or change management in a business context. You must also be familiar with Microsoft 365 services, Azure AI services, and general AI capabilities.

Skills at a glance

• Identify the business value of generative AI solutions (35–40%)

• Identify benefits, capabilities, and opportunities for Microsoft’s AI apps and services (35–40%)

• Identify an implementation and adoption strategy for Microsoft’s AI apps and services (20–25%)

Identify the business value of generative AI solutions (35–40%)

Identify the foundational concepts of generative AI

• 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

Identify benefits and capabilities of generative AI solutions

• 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

Identify benefits, capabilities, and opportunities for Microsoft’s AI apps and services (35–40%)

Identify benefits and capabilities of Microsoft 365 Copilot and Microsoft Copilot

• 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

Identify benefits and capabilities of Azure AI services

• Map business processes and use cases to Azure AI services

• Identify capabilities of Azure AI services, including Azure AI Vision, Azure AI Search, and Azure AI Foundry

• Match an AI model to a business need

• Identify the benefits of Azure AI services for generative AI, including scalability and security

Identify an implementation and adoption strategy for Microsoft’s AI apps and services (20–25%)

Align an AI strategy with Microsoft responsible AI policies

• 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

Plan for AI adoption across the organization

• 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 Azure AI services subscription models, including pay-as-you-go and prepaid