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Which practice ensures ML models are monitored for performance degradation in production?
- Drift Detection
- Metric Dashboards
- Alerting
- All of these
Answer: All of these
Production monitoring: drift detection for data/concept changes, dashboards for real-time metrics, alerting for anomalies. Critical for maintaining ML system reliability and business value.