Instruction: Describe how deploying ML models in shadow mode works and its benefits in an MLOps pipeline.
Context: This question probes the candidate's understanding of deploying models in a non-disruptive manner, allowing for performance comparison without affecting the production environment.
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The way I'd explain it in an interview is this: Shadow mode lets a new model run on real production traffic without affecting user-facing decisions. That makes it useful for measuring behavior, latency, and output quality under realistic inputs before trusting...