In the context of deploying a machine learning model on Google's AI Platform for high-throughput online predictions, where the model requires computationally expensive preprocessing operations identical to those used during training, which architecture ensures scalability, cost-effectiveness, and low latency? Consider the following constraints: the solution must handle a high volume of requests in real-time, minimize operational overhead, and avoid the need for retraining the model with raw data. Choose the best option from the following: | Google Professional Machine Learning Engineer Quiz