Which two scenarios are examples of a natural language processing workload? Each correct answer presents a complete solution. NOTE; Each correct…

Natural Language Processing (NLP) is a field of artificial intelligence focused on enabling computers to understand, interpret, and generate human language. A smart device that processes a spoken question and provides a verbal answer is a direct application of speech recognition and natural language understanding. Similarly, a website chatbot that interprets a user's typed questions and retrieves answers from a knowledge base is a classic example of a conversational AI or question-answering system, which are core NLP workloads.

A. This describes a robotics and computer vision workload, where a system identifies objects and performs physical tasks, not processes human language.

C. This is an example of a simple, rule-based automation or an Internet of Things (IoT) scenario, which acts on sensor data, not on human language input.

1. Microsoft Learn

AI-900: Introduction to natural language processing. In the unit "Understand natural language processing

" it lists key NLP capabilities. It explicitly mentions "Answering questions" and "Interacting with bots and agents" as common NLP workloads. This directly supports options B and D.

Source: Microsoft Learn

"AI-900: Describe AI workloads and considerations

" Module "Describe natural language processing workloads and considerations

" Unit "Understand natural language processing."

2. Microsoft Learn

AI-900: Understand conversational AI. This unit describes conversational AI as enabling users to participate in conversations

often through a bot. It states

"A bot can be used to answer frequently asked questions based on a knowledge base of existing documentation or other content." This validates option D.

Source: Microsoft Learn

"AI-900: Describe AI workloads and considerations

" Module "Describe natural language processing workloads and considerations

" Unit "Understand conversational AI."

3. Microsoft Learn

AI-900: Understand computer vision. This unit describes computer vision workloads

including "Object detection

" which aligns with the scenario in option A (detecting a car and headlamp socket)

confirming it is not an NLP task.

Source: Microsoft Learn

"AI-900: Describe AI workloads and considerations

" Module "Describe computer vision workloads and considerations

" Unit "Understand computer vision."