How would you approach designing a machine learning system for real-time anomaly detection in network traffic?
Instruction: Outline your system design, including data processing, model selection, and deployment considerations.
Context: This question gauges the candidate's expertise in applying machine learning for cybersecurity purposes, particularly in detecting anomalies in network traffic.
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I would start by defining what counts as an anomaly operationally, because "unusual" is too vague for a production system...
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