You have trained a machine learning model on a dataset that required computationally expensive preprocessing operations, such as feature extraction and data normalization. Now, you need to execute the same preprocessing steps at prediction time to ensure consistency in the data pipeline. You have deployed this model on Google AI Platform with the goal of achieving high-throughput online prediction. Considering the need for efficient and scalable preprocessing, which architecture should you use? | Google Professional Machine Learning Engineer Quiz