Learn how to use QnA Maker, an Azure Cognitive Service, to build an intelligent customer support chatbot. QnA Maker extracts question-answer pairs from your existing content to provide the best answers to user queries in a web app interface.
Table of Contents
Question
You are developing a web-based AI solution for a customer support system, which will allow users to interact with a web app that will guide them to the best resource or answer.
Which service should you use?
A. QnA Maker.
B. Face.
C. Custom Vision.
Answer
A. QnA Maker.
Explanation
QnA Maker is the best Azure Cognitive Service for developing a web-based AI solution for a customer support system. It allows you to create a conversational question-and-answer layer over your existing data, such as FAQ pages, support documents, and product manuals.
With QnA Maker, you can:
- Ingest data from various sources like websites, PDFs, and doc files
- Use built-in natural language processing to extract relevant question-answer pairs
- Train and publish a knowledge base that can be queried by your web app
- Improve the knowledge base over time through active learning and user interactions
When a user asks a question in the web app, QnA Maker processes the query, matches it with the most relevant question-answer pair in the knowledge base, and returns the appropriate response. This guides the user to the best resource or answer for their issue.
Other Azure Cognitive Services like Face (for facial recognition) and Custom Vision (for image classification) are not suitable for a text-based customer support chatbot. They specialize in different AI capabilities related to analyzing images and videos.
In summary, QnA Maker is purpose-built for creating intelligent chatbots and offers the quickest path to deploying a web-based customer support AI solution. Its natural language capabilities, easy ingestion of existing content, and active learning features make it the optimal choice for this scenario.
QnA Maker is a service designed to create a question-and-answer layer over your data, making it ideal for developing a web-based AI solution for a customer support system. It allows users to interact with the app by asking questions and receiving relevant answers, guiding them to the best resouces.
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.