CompTIA Data+ DA0-002 (V2) Practice Question

Project A involves extracting structured information (entities and sentiment) from unstructured text. That task is a classic use case for natural language processing (NLP) techniques such as named-entity recognition and sentiment analysis. Project B, in contrast, is a deterministic, rule-based sequence of user-interface actions across existing applications; it does not require the system to "learn" from data, only to repeat prescribed steps, which is exactly what robotic process automation (RPA) is designed to do. The other pairings mis-align the concepts: generative AI focuses on creating new content rather than extracting entities; deep learning is a broad modeling approach rather than a process-automation tool; RPA does not perform text understanding; and large language models are specialized NLP architectures, not UI bots for file exports.