Delivering excellent self-service demands conversational interactions. Learn how Microsoft’s QnA Maker enables web and mobile apps to respond naturally to user questions and requests.
Table of Contents
Question
You need to develop a web-based AI solution for a customer support system. Users must be able to interact with a web app that will guide them to the best resource or answer. Which service should you use?
A. Custom Vision
B. QnA Maker
C. Translator Text
D. Face
Answer
B. QnA Maker
Explanation
The correct answer is B. QnA Maker.
QnA Maker is a cloud-based API service that lets you create a conversational question-and-answer layer over your existing data. Use it to build a knowledge base by extracting questions and answers from your semi-structured content, including FAQs, manuals, and documents. Answer users’ questions with the best answers from the QnAs in your knowledge base—automatically. Your knowledge base gets smarter, too, as it continually learns from user behavior.
QnA Maker is a service that allows you to create a conversational, question-and-answer layer over your data. You can use QnA Maker to extract question-answer pairs from semi-structured content, such as FAQ documents, support websites, product manuals, etc. You can also add personality to your bot using pre-built chit-chat datasets. QnA Maker enables you to build, train, and publish a sophisticated bot using FAQ pages, support websites, product manuals, SharePoint documents, or editorial content through an easy-to-use UI or via REST APIs. You can also design complex multi-turn conversations easily through QnA Maker portal or using REST APIs. QnA Maker is suitable for developing a web-based AI solution for a customer support system, as it can provide interactive and relevant responses to users’ questions based on a knowledge base.
Custom Vision is a service that allows you to create your own state-of-the-art computer vision models that fit perfectly with your unique use case. You can use Custom Vision to train and deploy image classification and object detection models using your own labeled images. Custom Vision is not suitable for developing a web-based AI solution for a customer support system, as it does not provide any conversational capabilities.
Translator Text is a service that provides fast, high-quality, and affordable machine translation for more than 90 languages and dialects. Translator Text can translate text, speech, images, and documents, and preserve the original format. Translator Text is not suitable for developing a web-based AI solution for a customer support system, unless you need to support multiple languages.
Face is a service that provides state-of-the-art algorithms to detect and recognize human faces in images. Face can analyze the content of an image in different ways based on the visual features you request. Some of the features are: face detection, face verification, face identification, face grouping, face similarity, emotion recognition, age estimation, gender estimation, etc. Face is not suitable for developing a web-based AI solution for a customer support system, as it does not provide any conversational capabilities.
Incorrect Answers:
A: Azure Custom Vision is a cognitive service that lets you build, deploy, and improve your own image classifiers. An image classifier is an AI service that applies labels (which represent classes) to images, according to their visual characteristics. Unlike the Computer Vision service, Custom Vision allows you to specify the labels to apply.
D: Azure Cognitive Services Face Detection API: At a minimum, each detected face corresponds to a faceRectangle field in the response. This set of pixel coordinates for the left, top, width, and height mark the located face. Using these coordinates, you can get the location of the face and its size. In the API response, faces are listed in size order from largest to smallest
Reference
Microsoft Azure AI Fundamentals AI-900 certification exam practice question and answer (Q&A) dump with detail explanation and reference available free, helpful to pass the Microsoft Azure AI Fundamentals AI-900 exam and earn Microsoft Azure AI Fundamentals AI-900 certification.
