Microsoft AB-731 Online Practice
Questions and Exam Preparation
AB-731 Exam Details
Exam Code
:AB-731
Exam Name
:AI Transformation Leader
Certification
:Microsoft Certifications
Vendor
:Microsoft
Total Questions
:115 Q&As
Last Updated
:Jul 07, 2026
Microsoft AB-731 Online Questions &
Answers
Question 101:
HOTSPOT
You are comparing Microsoft Copilot, Microsoft 365 Copilot, and Microsoft Security Copilot for an organization. The organization wants to understand the differences between these Microsoft AI experiences.
For each of the following statements, select Yes if the statement is true. Otherwise, select No.
NOTE: Each correct selection is worth one point.
The answer image should be No, Yes, and Yes. Microsoft Copilot is not a single app with identical features across all products, Microsoft 365 Copilot provides business-user productivity capabilities, and Security Copilot helps with security posture and risk work.
Question 102:
What is considered a best practice when forming an AI adoption team in an enterprise environment?
A. Include primarily IT and project management staff initially to streamline deployment, adding governance and compliance roles later. B. Include procurement and vendor management specialists early to evaluate AI tools, involving business teams once a platform is selected. C. Include representatives from legal, leadership, and business units to align AI initiatives with organizational priorities. D. Include only data scientists and engineers at first to validate technical feasibility, then add other stakeholders later.
C. Include representatives from legal, leadership, and business units to align AI initiatives with organizational priorities.
Explanation
An enterprise AI adoption team should include legal, leadership, and business-unit representation so AI work aligns with strategy, compliance, risk, and operational priorities. A technology-only team misses the governance and change-management dimensions of adoption.
Question 103:
HOTSPOT
Your organization stores line-of-business data in external systems. You want users to access and reason over this content by using Microsoft 365 Copilot and natural language prompts.
Select the answer that correctly completes the sentence.
The answer image selects Microsoft Graph. Microsoft 365 Copilot connectors and Graph make line-of-business and Microsoft 365 content available for natural language search, summarization, and reasoning when permissions allow it.
Question 104:
Your company plans to build a generative AI solution based on internal data. You recommend using Microsoft Foundry as a starting point to develop and manage the solution.
What is a key benefit of using Microsoft Foundry for this project?
A. Provides a scalable platform for developing and deploying generative AI solutions. B. Removes the need to select or configure the underlying AI model. C. Enables business users to build generative AI solutions. D. Offers a low-code platform for developing generative AI solutions.
A. Provides a scalable platform for developing and deploying generative AI solutions.
Explanation
Microsoft Foundry is the governed enterprise platform for building, deploying, evaluating, and managing AI apps, agents, models, and tools. It does not remove model choice, and low-code business-user agent building is more closely associated with Copilot Studio.
Question 105:
HOTSPOT
A company uses Microsoft 365 Copilot and wants to choose the correct agent for researching complex topics and generating insights from organizational information and web-based sources.
Select the answer that correctly completes the sentence.
The answer image selects the Researcher agent. Researcher is intended for deep research and synthesis across organizational data and web-based sources, not for structured numeric analysis or simple employee FAQ automation.
Question 106:
Your company receives thousands of scanned invoices each month.
You need to recommend an AI solution that can automatically extract key details, such as invoice numbers, vendor names, and total amounts.
What is the best solution to recommend?
A. Azure Document Intelligence in Foundry Tools B. Azure Vision in Foundry Tools C. Azure AI Search D. Azure Machine Learning
A. Azure Document Intelligence in Foundry Tools
Explanation
Azure Document Intelligence is designed to extract structured fields from documents such as invoices, including vendor names, invoice numbers, totals, and line items. Vision, search, and machine learning can be useful elsewhere, but they are not the prebuilt invoice extraction tool.
Question 107:
HOTSPOT
An organization plans to use Microsoft 365 Copilot with organizational data and connected Microsoft 365 services. The organization wants to understand when a Microsoft 365 Copilot license is required.
For each of the following statements, select Yes if the statement is true. Otherwise, select No.
NOTE: Each correct selection is worth one point.
The answer image should be Yes, No, and Yes. Reasoning over work data requires Microsoft 365 Copilot licensing, it is not included in standard E3 or E5 by default, and some Copilot services can use pay-as-you-go plans.
Question 108:
Which business requirement most closely relates to grounding a generative AI model?
A. supporting multiple languages B. measuring the number of user interactions per day C. enabling users to interact by using natural language queries D. ensuring that verified company data sources are used for response generation
D. ensuring that verified company data sources are used for response generation
Explanation
Grounding means the model response is anchored in trusted data supplied with the prompt or retrieved from approved sources. The business requirement is therefore to use verified company data sources during response generation, not merely to support languages or count usage.
Question 109:
HOTSPOT
You are comparing generative AI and predictive AI for a business audience. The audience needs to understand the key difference between the two types of AI.
Select the answer that correctly completes the sentence.
The answer image selects producing more accurate results as the visual completion, but the reliable distinction is that generative AI creates new content while predictive AI forecasts outcomes. The image should be interpreted through that generative-versus-predictive difference.
Question 110:
Your company stores thousands of reports and documents across multiple systems.
You recommend using Azure AI Search as part of a new generative AI solution to improve information discovery.
What is a key benefit of using Azure AI Search in this scenario?
A. generates responses to customer questions without referencing the existing data B. queries and retrieves information from large collections of data by using natural language C. automates document workflows based on the document content D. improves model accuracy by fine-tuning organizational data
B. queries and retrieves information from large collections of data by using natural language
Explanation
Azure AI Search indexes and retrieves information across large data collections and can support natural language and RAG experiences. It is used to find relevant enterprise content, not to fine-tune the model or automate document workflows by itself.
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