Microsoft Azure AI Fundamentals (AI-900) Practice Exam

What technique allows AI to understand, interpret, and generate human language?

1. Computer Vision

2. Natural Language Processing

3. Machine Learning

4. Deep Learning

The correct answer is: Natural Language Processing

Natural Language Processing (NLP) is the technique that enables AI to understand, interpret, and generate human language. It encompasses a variety of technologies and methodologies that allow machines to process and analyze large amounts of natural language data. NLP is crucial for tasks such as sentiment analysis, language translation, chatbots, and voice recognition, as it combines linguistics and artificial intelligence to facilitate effective communication between humans and machines. In the context of artificial intelligence, the core functions of comprehension, interpretation, and generation of language depend heavily on NLP frameworks and algorithms. This allows AI systems to understand nuances, context, and the structure of human language, making it possible for them to engage in conversations, respond to queries, and even generate text that flows logically and coherently. Other options such as computer vision are focused on interpreting visual information from the world, while machine learning refers to the broader field where algorithms improve through experience and data. Deep learning is a subset of machine learning that uses neural networks to learn from large amounts of data, but it is not specific to language processing. Thus, while all these techniques are integral to artificial intelligence in their own right, only Natural Language Processing specifically addresses the complexities of human language interaction.