Microsoft AB-731 Online Practice Questions and Exam Preparation

Microsoft AB-731 Online Questions & Answers

• Question 31:

  Which statement accurately describes the difference between a pretrained generative AI model 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 pretrained model uses fewer parameters.
  C. A pretrained model is trained on broad datasets, while a fine-tuned model is adapted to perform well on a narrower, domain-specific dataset.
  D. A pretrained model is optimized for a specific task, while a fine-tuned model is designed for general-purpose use.
  C. A pretrained model is trained on broad datasets, while a fine-tuned model is adapted to perform well on a narrower, domain-specific dataset.

  ---

  Explanation

  A pretrained model is trained broadly before a customer uses it, while fine-tuning adapts that model for a narrower domain or task using more specific data. The other descriptions reverse the relationship or confuse fine-tuning with general-purpose pretraining.

• Question 32:

  DRAG DROP

  Match the business processes to the appropriate Microsoft Copilot solutions.

  To answer, drag the Copilot solution from the column on the left to its business process on the right. Each solution may be used once, more than once, or not at all.

  NOTE: Each correct match is worth one point.

  Select and Place:

  

  

  ---

  The answer image maps financial summaries and visual reports from Excel workbooks to Microsoft 365 Copilot, and building a low-code autonomous agent to Microsoft Copilot Studio. The image selections separate productivity assistance from agent creation.

• Question 33:

  You plan to meet with a group of stakeholders to discuss how generative AI can benefit your company.

  You need to provide the stakeholders with a relevant description of generative AI during the meeting.

  Which description should you use?

  A. Generative AI is designed to generate responses based on a user's natural language prompts.
  B. Generative AI is designed to translate documents into other languages.
  C. Generative AI is designed to predict future trends based on historical data.
  D. Generative AI is designed to recommend products based on user behavior.
  A. Generative AI is designed to generate responses based on a user's natural language prompts.

  ---

  Explanation

  Generative AI produces responses or new content from natural language prompts. Translation, forecasting, and recommendation can use AI, but they are narrower tasks and do not define the broader generative AI capability.

• Question 34:

  HOTSPOT

  A company is evaluating generative AI for business content creation. The company wants to understand the primary purpose of generative AI compared with other AI technologies.

  What is the primary goal of generative AI?

  Select the answer that correctly completes the sentence.

  

  

  ---

  The answer image should select creating new content, such as text, images, or code. Generative AI is not primarily for trend classification or historical prediction, even though those are valid uses of other AI approaches.

• Question 35:

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

  ---

  Explanation

  Allowing an applicant to request an explanation for a denied loan supports transparency because the AI-assisted decision can be understood and reviewed. Fairness, privacy, and inclusiveness are important, but the explicit focus here is explainability.

• Question 36:

  HOTSPOT

  You are comparing generative AI solutions with other AI solution types. The organization wants to identify which tasks are appropriate for generative AI.

  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. Generative AI is not best suited for next-quarter sales prediction, but it can summarize policy documents and create product descriptions from product specifications.

• Question 37:

  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?

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

  ---

  Explanation

  Anonymizing feedback to remove personally identifiable information reduces privacy risk while still allowing aggregate analysis. Keeping attribution, delaying privacy review, or deleting all feedback immediately is either risky or removes business value.

• Question 38:

  HOTSPOT

  An organization is creating an AI champions program to support AI adoption. The organization wants to identify the type of users who should participate in the program.

  Select the answer that correctly completes the sentence.

  

  

  ---

  The answer image selects users who are dedicated to the value of AI by learning, sharing, and identifying use cases. Champions are peer advocates who help spread adoption, not necessarily only technical leads or executives.

• Question 39:

  Your company manages an online catalog of office supplies.

  You plan to use a generative AI solution to create product descriptions for your company's website. The solution must meet the following requirements:

  1. Ensure that the descriptions can be posted immediately after they are created.

  2. Enable the selection and inclusion of product details in each description.

  3. Be fast and simple for non-technical staff to use.

  What is the best type of solution to use?

  A. custom Azure Machine Learning model
  B. the Researcher agent in Microsoft 365 Copilot
  C. an interactive AI agent
  D. a fine-tuned large language model (LLM)
  C. an interactive AI agent

  ---

  Explanation

  An interactive AI agent is the best fit for non-technical staff who need a simple guided experience that selects product details and generates publishable descriptions. A Researcher agent is for research tasks, while custom or fine-tuned models add unnecessary complexity.

• Question 40:

  HOTSPOT

  An organization plans to run Azure OpenAI workloads at large scale. The workloads are continuous and require a pricing option that is appropriate for high-volume usage.

  Select the answer that correctly completes the sentence.

  

  

  ---

  The answer image highlights Batch API, but for continuous large-scale workloads the reliable pricing model is Provisioned throughput. Batch processing is better for asynchronous jobs, while provisioned capacity is intended for predictable high-throughput production usage.