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Microsoft AB-731 Exam Questions

Microsoft AB-731 Exam Questions Answers

AI Transformation Leader

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  Updated September 17,2026
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Microsoft AB-731 Practice Test Questions ( Updated) – Real Exam Questions & Dumps PDF

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Microsoft AB-731 Sample Questions – Free Practice Test & Real Exam Prep

Question #1

Your company has an AI solution that uses a prebuilt Azure OpenAI model to generate content. You need to reduce the cost of the solution while minimizing the impact on the quality of the generated output. Which two actions should you perform? (Select TWO.) NOTE: Each correct selection is worth one point.

  • A. Fine-tune the existing model.
  • B. Apply content moderation.
  • C. Optimize the prompts.
  • D. Switch to an alternate model.
  • E. Decrease the number of hosting hours for the model. 
Answer: C,D 
Question #2

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 
Answer: D

Question #3

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 
Answer: D
Question #4

Your company plans to use generative AI to help build a website that will showcase variousexisting products. Which capability best describes a benefit of using generative AI for thisproject? Select the BEST answer.

  • A. translating product descriptions into a different language 
  • B. analyzing product sales to identify patterns and trends 
  • C. designing a new product based on customer requirements 
  • D. creating product descriptions based on product specifications 
Answer: D

Question #5

Which statement accurately describes the difference between a pretrained generative AImodel and a fine-tuned generative AI model?

  • A. A pretrained model requires labeled data, while a fine-tuned model does not. 
  • B. A pretrained model is faster to train than a fine-tuned model because the pretrainedmodel uses fewer parameters.
  • C. A pretrained model is trained on broad datasets, while a fine-tuned model is adapted toperform well on a narrower, domain-specific dataset.
  • D. A pretrained model is optimized for a specific task, while a fine-tuned model is designedfor general-purpose use. 
Answer: C

Question #6

Your company is evaluating the use of Microsoft Copilot Studio to support businessprocess automation and employee self-service. Which two capabilities are directlysupported in Copilot Studio? Each correct answer presents a complete solution. NOTE:Each correct selection is worth one point.

  • A. Using agents to identify and respond to security incidents 
  • B. configuring document security 
  • C. drafting and summarizing files in Microsoft Word and PowerPoint 
  • D. building agents that connect to business data and automate user interactions 
  • E. customizing agent behavior and responses 
Answer: D,E

Question #7

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
Answer: A 
Question #8

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 upon request.
  •  D. Limit privacy reviews to the final stage of the AI project lifecycle.
Answer: A 
Question #9

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. 
Answer: A
Question #10

Your company plans to use generative AI to help summarize and analyze internal business documents. You need to recommend a solution to prevent generative AI from accessing confidential or classified information. What should you include in the recommendation? 

  • A. an information barrier (IB) policy 
  • B. data governance 
  • C. a data retention policy 
  • D. communication monitoring 
Answer: B
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