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You are managing the deployment of a fraud-detection model on Amazon SageMaker Real-Time Inference endpoints. The model must handle high request volumes while maintaining low latency and fault tolerance. Which combination of metrics and monitoring strategies is the MOST EFFECTIVE to ensure the infrastructure meets these requirements?