QuestionQ25

Identify an implementation and adoption strategy for Microsoft’s AI apps and services

A company that manages an online catalog of office supplies plans to use a generative AI solution to create product descriptions for its website. The solution must meet the following requirements:

  • The descriptions must be able to be posted immediately after they are created.
  • The solution must allow selection and inclusion of specific product details in each description.
  • The solution must be fast and simple for non-technical staff to use.

What is the best type of solution to use? More than one answer choice may achieve the goal. Select the BEST answer.

  • 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)
Explanation

An interactive AI agent is built for user-driven, conversational use: a non-technical staff member can provide or select product details directly in the interaction, receive a generated description immediately, and publish it right away without any additional technical setup. This directly satisfies all three requirements — immediate usability, selection/inclusion of product details, and simplicity for non-technical users. In contrast, a custom Azure Machine Learning model requires data science skills to build and deploy, a fine-tuned LLM requires technical fine-tuning and integration work before it can be used, and the Researcher agent in Microsoft 365 Copilot is purpose-built for research and analysis tasks rather than quick, detail-driven content generation for immediate publishing.

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