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Which practice ensures ML models are continuously monitored and retrained in production?
- CI/CD
- Model Drift Detection
- A/B Testing
- All of these
Answer: All of these
MLOps combines: CI/CD for automated deployment, drift detection for performance monitoring, A/B testing for validation. Critical for maintaining ML system reliability and business value over time.