You need to develop a chatbot for a website. The chatbot must answer users questions based on the information m the following documents • A product…

QnA Maker (now part of the question answering feature in Azure Cognitive Service for Language) is the ideal service for this scenario. It is specifically designed to create a conversational knowledge base from existing, semi-structured content. It can directly ingest data from sources like FAQ webpages and documents, including Microsoft Word files (.docx). The service automatically extracts question-and-answer pairs from this content, which can then be easily integrated with a chatbot, such as one built with Azure Bot Service, to answer user questions.

A. Language Understanding (LUIS) is used to understand user intent and extract entities from utterances, not to create a knowledge base from documents.

B. Text Analytics provides features like sentiment analysis and key phrase extraction but does not build a structured question-and-answer knowledge base.

C. Azure Bot Service is the framework used to build, deploy, and manage the chatbot itself, but it does not process the source documents to create the Q&A content.

1. Microsoft Learn. (2023). Create a question answering solution. AI-900: Microsoft Azure AI Fundamentals course

Module "Use natural language processing to create language solutions". In the "Introduction" section

it states

"The question answering capability of the Language service enables you to create a knowledge base of question and answer pairs... You can create a knowledge base from existing documents

such as FAQ documents or product manuals... and web pages."

2. Microsoft Docs. (2023). What is question answering?. Azure Cognitive Services for Language documentation. Under the "When to use question answering" section

it highlights the primary use case: "When you have static information - Use question answering when you have a knowledge base of answers. This knowledge base is custom to your needs

which you've built with documents such as PDFs and URLs."

3. Microsoft Docs. (2023). Data sources for question answering. Azure Cognitive Services for Language documentation. This page explicitly lists supported "File types" including ".docx" and "Content types" including "FAQ web pages

" directly matching the requirements in the question.