Correct selection: natural language processing
The correct answer is natural language processing . Interactive question answering requires an application to receive language from a user, interpret the meaning or intent of that language, and generate or retrieve an appropriate response. These are core capabilities associated with natural language processing (NLP) and modern generative AI systems.
Microsoft’s current Azure AI Fundamentals study guide places text-oriented capabilities under AI workloads , including generative and agentic AI, text analysis, speech, computer vision, and information extraction . It also requires candidates to recognize scenarios involving text processing and to implement AI solutions that work with textual user input.
Computer vision is concerned with understanding or generating visual information such as images and video. It would therefore apply to tasks such as image classification, object detection, OCR-related visual processing, or image interpretation—not ordinary text-based question answering.
Forecasting predicts future numerical or categorical values from historical data, such as future sales, demand, or resource usage. It does not describe conversational interaction with users.
Therefore, an application that interactively receives questions expressed in natural language and returns answers is fundamentally performing a natural language processing workload .
Study Guide Reference: Identify AI concepts and capabilities → Identify AI workloads → text analysis and generative AI scenarios.
