Design a framework for automated model retraining and deployment.

Instruction: Outline a strategy for automatically retraining and deploying ML models based on specified performance metrics or triggers.

Context: This question evaluates the candidate's expertise in automating the lifecycle of machine learning models, ensuring they remain effective without manual intervention.

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I would build the framework as a gated pipeline: trigger detection, data snapshotting, training, evaluation, artifact registration, staged deployment, and post-deploy monitoring...

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