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- Tests MLOps pipeline integration with complete TinyTorch models and workflows - Validates performance monitoring with realistic model inference scenarios - Tests data drift detection with model input features and production data - Verifies complete MLOps pipeline with TinyTorch Sequential model integration - Tests retraining triggers with TinyTorch training workflow compatibility - Validates end-to-end MLOps workflow with comprehensive system health checks - Positioned before MODULE SUMMARY as per educational structure