The question describes a smart device that can understand and respond to a spoken or written question such as, “What is the stock price of Contoso, Ltd.?” This scenario directly maps to the Natural Language Processing (NLP) workload in Microsoft Azure AI.
According to the Microsoft AI Fundamentals (AI-900) study guide and the Microsoft Learn module “Describe features of common AI workloads,” NLP enables systems to understand, interpret, and generate human language. Azure AI Language and Azure Speech services are examples of NLP-based solutions.
In this case, the smart device performs several NLP tasks:
Speech recognition – converts spoken input into text.
Language understanding – interprets the user’s intent, i.e., retrieving the stock price of a specific company.
Response generation – formulates a meaningful answer that can be presented back as text or speech.
This process shows a full pipeline of natural language understanding (NLU) and conversational AI. It does not involve visual data (computer vision), data pattern analysis (anomaly detection), or document search (knowledge mining).
Hence, the correct AI workload is D. Natural Language Processing.
