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You are an ML Engineer at a tech company tasked with deploying a containerized machine learning model using Kubernetes for orchestration. The model must process real-time user behavior data and scale automatically based on demand. The company wants to use a managed service to reduce operational overhead and improve scalability. What is the best approach for deploying and managing this workload using Amazon EKS?