You need to develop a web-based AI solution for a customer support system. Users must be able tointeract with a web app that will guide them to the…

The scenario requires a web-based AI solution for a customer support system that guides users to answers. This describes a classic question-and-answer bot or knowledge base. Azure's QnA Maker service (now part of the custom question answering feature in Azure AI Language) is specifically designed for this purpose. It allows you to create a conversational layer over existing data, such as FAQs, manuals, and documents, to build a knowledge base that can be queried using natural language. This service directly enables the creation of a web app that can interpret user questions and provide the best resource or answer.

A. Custom Vision: This is a computer vision service used to build, deploy, and improve custom image classifiers and object detectors, not for text-based conversational AI.

C. Translator Text: This service is used for machine translation of text from one language to another, not for building a question-and-answer knowledge base.

D. Face: This is a computer vision service for detecting, recognizing, and analyzing human faces in images, which is irrelevant to a text-based support system.

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1. Microsoft Learn

AI-900 Study guide for Exam AI-900: Microsoft Azure AI Fundamentals

"Describe features of conversational AI workloads on Azure" section. This guide explicitly lists QnA Maker (now custom question answering) as the service for building a knowledge base of questions and answers for conversational bots. It states

"The question answering capability... enables you to create a knowledge base of question and answer pairs that can be queried using natural language."

2. Microsoft Learn

"What is question answering?"

Azure AI Language documentation. This document describes the service's core function: "Question answering provides cloud-based Natural Language Processing (NLP) that allows you to create a natural conversational layer over your data. It is used to find the most appropriate answer for any input from your custom knowledge base (KB) of information." This directly aligns with the user's need for a customer support system.

3. Microsoft Learn

"What is Custom Vision?"

Azure AI Vision documentation. This source defines Custom Vision as "an image recognition service that lets you build

deploy

and improve your own image classifiers

" confirming it is not suitable for a text-based Q&A system.