
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