Chatbot Implementation with AI Services | Microsoft Azure AI Fundamentals Exam | Microsoft

Chatbot Implementation

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.

Answers

Explanations

Click on the arrows to vote for the correct answer

A. B. C. D.

BC

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.

https://docs.microsoft.com/en-us/learn/modules/build-faq-chatbot-qna-maker-azure-bot-service/

To reduce the load on telephone operators by implementing a chatbot to answer simple questions with predefined answers, we can use Azure Bot Service and QnA Maker.

Here's why:

  1. Azure Bot Service: Azure Bot Service allows us to build, connect, deploy, and manage intelligent bots. It is a cloud-based platform that provides the infrastructure and tools to develop and deploy chatbots. It offers pre-built templates and connectors to integrate with various channels, such as Skype, Slack, Facebook Messenger, etc. With Azure Bot Service, we can build intelligent bots that can understand natural language queries and provide appropriate responses.

  2. QnA Maker: QnA Maker is a cloud-based AI service that enables us to create a knowledge base of frequently asked questions (FAQs) and their answers. It uses machine learning to extract and structure Q&A pairs from various sources, such as product manuals, customer support documents, and websites. Once we have created a knowledge base, we can integrate it with Azure Bot Service to enable the chatbot to answer questions with predefined answers.

  3. Text Analytics: Text Analytics is an AI service that can extract insights and meaning from unstructured text data. However, it may not be the best fit for this scenario as the chatbot's responses are already predefined, and Text Analytics is more suited for sentiment analysis, key phrase extraction, and language detection.

  4. Translator: The Translator service can translate text from one language to another. While it can be useful for multi-lingual chatbots, it is not necessary for this scenario.

Therefore, the correct answers are B. QnA Maker and C. Azure Bot Service.