Microsoft Azure AI Fundamentals (AI-900)Describe features of Natural Language Processing (NLP) workloads on AzureMedium
A research institution is developing a system to help medical professionals quickly find specific answers within a vast collection of medical journals and clinical trial reports. The system should allow users to ask natural language questions and receive precise, concise answers sourced directly from the documents. Which Azure AI NLP capability is most appropriate for this requirement?
- AQuestion Answering (QnA Maker)
- BText Generation
- CTopic Modeling
- DText Classification
Show answer & explanationAnswer & explanation
Correct answer: A. Question Answering (QnA Maker)
Question Answering (QnA Maker) is specifically designed to extract precise answers from a knowledge base or set of documents in response to natural language queries, which perfectly matches the requirement for medical professionals to find specific answers.
Why the other options are wrong
- B. Text Generation creates new text, it does not extract answers from existing documents.
- C. Topic Modeling identifies prevalent themes in a collection, not direct answers to questions.
- D. Text Classification categorizes documents, it does not extract specific answers.
Question Answering (QnA Maker)
An Azure AI service that allows you to build a conversational question-and-answer layer over your data, enabling users to get precise answers from documents or a knowledge base using natural language queries.
- Extracts answers directly from provided content.
- Supports natural language input.
- Ideal for FAQs, help desks, and information retrieval systems.
Memory trick: Questions answered directly from the knowledge's heart.