Microsoft AI-900 Exam - Topic 2 Question 103 Discussion

QnA Maker is an Azure Cognitive Service used to build question-and-answer knowledge bases from structured and unstructured documents, such as FAQs, product manuals, or webpages. According to the AI-900 study guide and Microsoft Learn module ''Build a knowledge base with QnA Maker'', this service allows you to extract question-answer pairs from existing data sources like FAQ pages, PDF files, or Word documents.

In this scenario, you have:

A product troubleshooting guide (Word document)

A FAQ webpage

QnA Maker can automatically read both sources, extract relevant Q&A pairs, and create a knowledge base that your chatbot can use to respond to user queries intelligently.

To clarify the other options:

A . Azure Bot Service provides the chatbot interface and conversation logic but doesn't extract knowledge from documents.

B . Language Understanding (LUIS) identifies intents and entities in natural language input, but it's not used to read document content.

C . Text Analytics is used for key phrase extraction and sentiment analysis, not Q&A creation.

Therefore, the correct service for processing FAQ-style and document-based content into a question-answering bot is QnA Maker.