What is an example of an anomaly detection use case in AI?

Correct answer: Detecting unusual credit card transactions or network intrusions

Option D is correct because anomaly detection is specifically designed to identify data points that deviate significantly from established patterns, making fraud detection (unusual credit card transactions) and intrusion detection (abnormal network behavior) its classic real-world applications. Option A describes machine translation, a natural language processing task unrelated to anomaly detection. Option B describes a file organization or computer vision task that relies on classification, not deviation-from-norm analysis. Option C describes a scheduling or productivity automation task that has nothing to do with statistical anomaly identification.