You are working on productionizing a machine learning model that was built using the Keras framework. This ML model was initially developed in a Jupyter notebook on a data scientist’s local machine. The notebook includes cells for data validation and model analysis. Your task is to orchestrate these steps and automate their execution to enable weekly retraining of the model. Considering that you expect a significant increase in future training data, your solution should leverage managed services to ensure it remains scalable and cost-effective. Given this context, what approach should you take? | Google Professional Machine Learning Engineer Quiz