Whenever you're ready, walk me through how you'd approach this.
How do you ensure the reliability and monitoring of a model once it is in production?
Explain a practical monitoring and response plan covering service health, input data quality, data and concept drift, prediction behavior, delayed ground-truth evaluation, alert thresholds, and retraining or rollback decisions. Include the metrics you would track, how you would distinguish infrastructure failures from model degradation, and how you would validate that monitoring itself is reliable.