Chatbots enable efficient self-service by answering common queries instantly. Learn how Microsoft’s QnA Maker and Bot Framework services can create conversational AIs to reduce telephone operator workload.
Table of Contents
Question
You need to reduce the load on telephone operators by implementing a chatbot to answer simple questions with predefined answers. Which two AI service should you use to achieve the goal? Each correct answer presents part of the solution.
NOTE: Each correct selection is worth one point.
A. Text Analytics
B. QnA Maker
C. Azure Bot Service
D. Translator Text
Answer
B. QnA Maker
C. Azure Bot Service
Explanation
Bots are a popular way to provide support through multiple communication channels. You can use the QnA Maker service and Azure Bot Service to create a bot that answers user questions.
The correct answer is B and C.
B. 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.
C. Azure AI Bot Service is a cloud platform that hosts bots and makes them available to channels, such as Microsoft Teams, Facebook, or Slack. The Bot Framework Service, which is a component of the Azure AI Bot Service, sends information between the user’s bot-connected app and the bot. Azure AI Bot Service provides an integrated development environment for bot building. Its integration with Power Virtual Agents, a fully hosted low-code platform, enables developers of all technical abilities build conversational AI bots—no code needed. You can also extend your bots for complex scenarios with Bot Framework Composer.
A. Text Analytics is a service that provides advanced natural language processing over raw text, and includes four main functions: sentiment analysis, key phrase extraction, language detection, and named entity recognition. Text Analytics is not suitable for implementing a chatbot to answer simple questions with predefined answers, as it does not provide any conversational capabilities.
D. 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 implementing a chatbot to answer simple questions with predefined answers, unless you need to support multiple languages.
Reference
Microsoft Learn > Training > Browse > Microsoft Azure AI Fundamentals: Explore natural language processing > Build a bot with the Language Service and Azure Bot Service
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