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Microsoft AB-731 Dumps

Microsoft AB-731 Practice Exam Questions

AI Transformation Leader

Total Questions : 96
Update Date : October 06, 2026
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Microsoft AB-731 Sample Question Answers

Question # 1

In which scenario is Azure Machine Learning most likely to deliver strategic value for an organization?

A. Using historical sales data to forecast demand across product categories.
B. Digitizing a paper-based process to reduce errors.
C. Entering customer feedback into a spreadsheet to understand sentiment.
D. Sending personalized emails to customers based on the customer location.



Question # 2

Your company deploys an AI-powered loan approval solution that enables applicants to request an explanation as to why their loan application was denied. Which Microsoft responsible AI principle is this an example of?

A. transparency
B. fairness
C. privacy and security
D. inclusiveness



Question # 3

Your company plans to implement a proof of concept PoC agent that uses Azure OpenAI. The solution must start small and provide flexibility to scale usage as demand grows. Which pricing model should you use? 

A. Microsoft 365 Copilot
B. Batch API
C. Provisioned PTUs
D. Standard On-Demand



Question # 4

Your company purchases Microsoft 365 Copilot for its sales department. The sales department needs to find and summarize information across internal documents quickly. From which two data sources can the sales department obtain results by default? (Select TWO.) 

A. an on-premises file share
B. a custom customer relationship management (CRM) system
C. Microsoft SharePoint
D. Microsoft OneDrive
E. Microsoft Sway



Question # 5

Your company creates a custom Azure Machine Learning model that uses a generative AI assistant. The model initially delivers strong results. However, six months later, the model predictions become noticeably less accurate. What is a possible cause of the issue?

A. The input data changed over time.
B. The model requires additional compute resources.
C. The model was trained incorrectly.



Question # 6

Your company uses a generative AI solution. You need to improve the quality of responses by using grounding. Which statement accurately describes how grounding improves accuracy and relevancy?

A. references a diverse set of people, disciplines, and perspectives
B. explains how and why AI models generate content
C. anchors the responses in specific data sources
D. specifies the strengths and weaknesses of the AI model



Question # 7

You need to recommend a service that supports indexing information and knowledge mining by extracting insights from documents. What should you recommend? 

A. Microsoft Foundry
B. Azure Vision in Foundry Tools
C. Azure Document Intelligence in Foundry Tools
D. Azure AI Search



Question # 8

Your company manages a website that publishes daily news articles. You need to recommend an AI solution that can analyze text and identify the main people, locations, and companies mentioned in the articles. What should you include in the recommendation?

A. Azure Language in Foundry Tools
B. Content Safety in Foundry Control Plane
C. Azure Vision in Foundry Tools
D. Azure Speech in Foundry Tools



Question # 9

Your company plans to use an AI-powered solution to analyze customer feedback for insights related to future product designs. You need to mitigate the privacy risks associated with the solution. What is the best approach to achieve the goal? Select the BEST answer. 

A. Anonymize the source data to remove customer Personally Identifiable Information (PII)from the feedback.
B. Delete all the feedback data immediately after analysis.
C. Ensure that feedback is attributable to the customer so that it can be deleted uponrequest.
D. Limit privacy reviews to the final stage of the AI project lifecycle.



Question # 10

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.