Microsoft Azure AI Fundamentals (AI-900) Practice Exam

Which of the following AI workloads primarily uses algorithms to analyze text data?

1. Robotics

2. Natural Language Processing

3. Predictive Analytics

4. Speech Recognition

The correct answer is: Natural Language Processing

Natural Language Processing (NLP) is the AI workload that primarily focuses on the interaction between computers and human language, enabling systems to understand, interpret, and generate text. It employs algorithms specifically designed to analyze text data, which can include tasks such as sentiment analysis, language translation, and text summarization. In NLP, techniques such as tokenization, part-of-speech tagging, and named entity recognition help in breaking down and interpreting text, making it possible to derive meaningful insights or generate contextual responses. This versatility allows NLP to be applied across various applications, from chatbots to search engines. The other areas mentioned do not primarily focus on text data analysis. Robotics involves physical machines performing tasks, predictive analytics is more about forecasting outcomes based on historical data patterns (which can include numeric and categorical data), and speech recognition centers specifically on converting spoken language into text rather than analyzing text itself. By understanding that NLP is dedicated to processing and analyzing textual information, one can see why it is the correct choice in this context.