Explanation:

According to the Microsoft Azure AI Fundamentals (AI-900) study guide and official Microsoft Learn modules under "Describe features of common AI workloads", Conversational AI refers to technology that enables computers to engage in dialogue or conversation with users through natural language, whether by text or speech. The interactive answering of user-entered questions through a chat interface or virtual assistant is a direct example of a conversational AI workload.
Microsoft defines Conversational AI as systems that use natural language processing (NLP) and language understanding models to interpret what users are asking and respond appropriately. This includes chatbots, virtual assistants (like Cortana or Azure Bot Service), and automated customer service systems that simulate a human-like conversation. In this case, when an application answers questions that a user types interactively, the AI model is processing human language inputs, deriving intent, and generating meaningful replies - precisely what conversational AI is designed to do.
By contrast:
* Anomaly detection identifies unusual patterns in data, typically used for fraud detection or equipment monitoring - not interactive dialogue.
* Computer vision deals with interpreting images or video (e.g., object detection, facial recognition), unrelated to answering text-based questions.
* Forecasting uses historical data to predict future trends or outcomes, often in sales or demand prediction scenarios.
The AI-900 guide emphasizes that Conversational AI helps businesses improve customer interaction efficiency by offering instant, automated, and consistent responses. It enables real-time engagement 24/7 and integrates with tools such as Azure Bot Service, Azure Cognitive Service for Language, and QnA Maker (now part of Azure AI Language Service).
Therefore, based on the Microsoft Learn objectives and definitions from the official AI-900 curriculum, the interactive answering of user questions in an application is best categorized as Conversational AI.