Which AI technique involves training a model on a large labeled dataset to predict outputs by learning the relationship between inputs and known correct answers?

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A. Supervised learning. Supervised learning trains a model using a labeled dataset where each input has a corresponding correct output, enabling the model to learn the input-output mapping. The SecAI+ exam objectives identify supervised learning as part of core machine learning terminology relevant to cybersecurity use cases such as malware classification. Unsupervised learning finds hidden structure in unlabeled data, which is different. Reinforcement learning uses reward signals rather than labeled examples.

Which AI technique involves training a model on a large labeled dataset to predict outputs by learning the relationship between inputs and known correct answers?

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