Your business has been effectively utilizing machine learning models, with a significant portion developed using TensorFlow. Recently, to enhance efficiency and speed in the design process, AutoML has been adopted. You are now in search of a comprehensive environment that not only organizes and manages model training, validation, and tuning but also handles updating models with new data, distribution, and monitoring in production. Considering the need for scalability, cost-effectiveness, and integration with existing TensorFlow and AutoML workflows, which solution best meets these needs? (Choose two correct options if option E is available.)