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You are a data scientist at a healthcare company working on deploying a machine learning model that predicts patient outcomes based on real-time data from wearable devices. The model needs to be containerized for easy deployment and scaling across different environments, including development, testing, and production. The company wants to ensure that container images are managed efficiently, securely, and consistently across all environments. Given these requirements, which combination of AWS services is the MOST SUITABLE for building, storing, deploying, and maintaining the containerized ML solution?