Microsoft AB-731 Online Practice Questions and Exam Preparation

Microsoft AB-731 Online Questions & Answers

• Question 21:

  HOTSPOT

  You are planning an AI solution for a retail company. The company wants to forecast future product demand by using historical sales data.

  Select the answer that correctly completes the sentence.

  What will you use to train a model that will forecast product demand based on historical sales data.

  

  

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  The answer image selects Azure Machine Learning because demand forecasting from historical sales data is a supervised predictive modeling scenario. Search, OpenAI, and Foundry can support other AI workloads, but model training for forecasts belongs to machine learning.

• Question 22:

  You have a large language model (LLM) that was pretrained by using public data.

  You want the LLM to generate responses that incorporate frequently updated proprietary content, such as internal documents and knowledge bases.

  You need to recommend a solution to ensure that the LLM uses the most current information without retraining the model.

  What should you include in the recommendation?

  A. Retrieval Augmented Generation (RAG)
  B. prompt engineering
  C. content filtering
  D. model fine-tuning
  A. Retrieval Augmented Generation (RAG)

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  Explanation

  Retrieval-augmented generation lets the solution retrieve current proprietary content at runtime and ground the model response in that content. It avoids retraining the base model whenever an internal document or knowledge base changes.

• Question 23:

  Your company has an AI solution that uses a prebuilt Azure OpenAI model to generate content.

  You need to reduce the cost of solution while minimizing the impact on the quality of the generated output.

  Which two actions should you perform?

  A. Switch to an alternate model.
  B. Apply content moderation.
  C. Optimize the prompts.
  D. Decrease the number of hosting hours for the model.
  E. Fine-tune the existing model.
  A. Switch to an alternate model.
  C. Optimize the prompts.

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  Explanation

  Switching to a more cost-effective model and optimizing prompts can reduce token use and model cost while preserving output quality. Content moderation is a safety control, hosting hours are not the main cost unit for hosted Azure OpenAI models, and fine-tuning usually adds cost and complexity.

• Question 24:

  HOTSPOT

  Your organization plans to use generative AI solutions with internal business data. The organization wants to reduce the risk that AI-generated responses expose confidential or sensitive information.

  For each of the following statements, select Yes if the statement is true. Otherwise, select No.

  NOTE: Each correct selection is worth one point.

  

  

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  The answer image should be Yes, Yes, and No. Content filtering helps prevent exposure of sensitive content, generated content can unintentionally reveal accessible sensitive information, and prompts alone are not a complete data-loss control.

• Question 25:

  You are exploring how Microsoft 365 Copilot uses Microsoft Graph to deliver AI-powered experiences.

  Which information in Microsoft Graph can Copilot use by default?

  A. emails, files, meetings, and chats in Microsoft 365
  B. data stored in a file share
  C. social media activity
  D. content from public websites
  A. emails, files, meetings, and chats in Microsoft 365

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  Explanation

  Microsoft Graph contains Microsoft 365 work data and relationships such as mail, files, meetings, and chats that the signed-in user can access. File shares, social media activity, and arbitrary public websites are not Microsoft Graph work context by default.

• Question 26:

  HOTSPOT

  You are reviewing different AI solution types for a marketing and customer engagement project. The project includes translation, content generation, and personalized customer interaction requirements.

  For each of the following statements, select Yes if the statement is true. Otherwise, select No.

  NOTE: Each correct selection is worth one point.

  

  

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  The answer image appears to mark the visual selections, but the reliable evaluation is No, No, and Yes. Translation is not a text-to-image generator use case, predictive analytics does not generate marketing copy, and a generative chatbot can hold personalized customer conversations.

• Question 27:

  Your company discovers that several employees use personal ChatGPT accounts to assist with work tasks.

  You are concerned about proprietary data being shared externally.

  You need to evaluate the business value of rolling out Microsoft 365 Copilot.

  Which capability is a key benefit of using Copilot instead of a personal ChatGPT account?

  A. analyzing and producing reports based on complex data
  B. generating ideas and solving issues
  C. drafting documents, emails, presentations, and marketing materials
  D. accessing internal data in accordance with existing Microsoft 365 policies
  D. accessing internal data in accordance with existing Microsoft 365 policies

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  Explanation

  Microsoft 365 Copilot operates inside the Microsoft 365 service boundary and uses existing permissions and policies when it grounds responses in work data. A personal public chatbot does not provide the same organizational data boundary or permission-aware access.

• Question 28:

  HOTSPOT

  A company wants to use Azure Language in Foundry Tools to analyze text-based content. You need to identify which tasks are supported by Azure Language capabilities.

  For each of the following statements, select Yes if the statement is true. Otherwise, select No.

  NOTE: Each correct selection is worth one point.

  

  

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  The answer image should be Yes, Yes, and No. Azure Language supports sentiment analysis and translation-related language tasks, while extracting text from scanned documents is an OCR or Document Intelligence capability.

• Question 29:

  Your company uses Microsoft 365 Copilot.

  You identify several business processes that require custom workflows and specialized automation.

  You need to recommend a solution that extends Copilot capabilities while minimizing development effort and costs.

  What should you recommend?

  A. Create an agent by using Microsoft Foundry.
  B. Deploy a Copilot connector.
  C. Build a custom agent by using the full experience of Microsoft Copilot Studio.
  D. Build a declarative agent by using the lite experience of Microsoft Copilot Studio.
  D. Build a declarative agent by using the lite experience of Microsoft Copilot Studio.

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  Explanation

  A declarative agent in the lite Copilot Studio experience is the lower-effort way to extend Microsoft 365 Copilot for focused workflows. Full custom agents are more appropriate when deeper customization is required, and Foundry is a broader

  AI development platform.

• Question 30:

  HOTSPOT

  Your organization is evaluating Microsoft Foundry as a platform for developing AI solutions. You need to determine which statements correctly describe Microsoft Foundry and its licensing requirements.

  For each of the following statements, select Yes if the statement is true. Otherwise, select No.

  NOTE: Each correct selection is worth one point.

  

  

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  The answer image should be Yes, No, and No. Foundry is a unified platform for custom AI apps and models, not only a low-code business-user tool, and Microsoft 365 Copilot licensing is separate from access to Foundry services.