Microsoft Azure AI Fundamentals (AI-900) Practice Exam

Which of the following is a key application of natural language processing in AI?

1. Image Recognition

2. Customer Sentiment Analysis

3. Data Classification

4. Autonomous Driving

The correct answer is: Customer Sentiment Analysis

Natural language processing (NLP) primarily focuses on the interaction between computers and human language. It involves the ability of machines to understand, interpret, and respond to human languages in a way that is both valuable and meaningful. Customer sentiment analysis is an essential application of NLP as it involves evaluating and interpreting customer opinions, emotions, and attitudes expressed in various forms of text, such as online reviews, social media comments, or survey responses. By utilizing NLP techniques, businesses can analyze large volumes of text data to gauge public sentiment towards their products or services, allowing them to make informed decisions. This application is vital for developing strategies that enhance customer satisfaction and engagement, making it a primary use case for natural language processing in the field of AI. The other choices relate to areas that are outside of the primary scope of NLP. Image recognition pertains to visual data and the processing of images, while data classification involves organizing data into categories, which can involve various types of data including numerical datasets. Autonomous driving integrates multiple technologies, including computer vision and sensor processing rather than focusing specifically on language and text analysis.