Your company operates a global e-commerce platform that utilizes TensorFlow-based deep learning models for processing Analytics-360 data to personalize user experiences and optimize logistics. Initially, these models delivered high accuracy, but over time, performance has degraded due to evolving data patterns. The models are currently deployed on Compute Engine and GKE. Your team is now looking for a solution that not only addresses the accuracy decline but also provides end-to-end control over the machine learning lifecycle, from data validation and model training to deployment and monitoring, ensuring scalability and compliance with data privacy regulations. Which of the following tools best meets these requirements? (Choose one correct option)