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You are working for an online travel agency that provides advertising solutions. Your task is to predict the most suitable web banner for a user to view next, with security as a top priority and a model latency requirement of 300ms@p99. Given thousands of banners in the inventory and exploratory analysis showing navigation context as a strong predictor, what is the simplest way to configure the prediction pipeline? Consider the following constraints: the solution must be cost-effective, comply with data protection regulations, and scale efficiently with increasing user traffic. Choose the best option that meets all these requirements.
A
Embed the client on the website, and then deploy the model on AI Platform Prediction.
B
Embed the client on the website, deploy the gateway on App Engine, deploy the database on Firestore for writing and for reading the user’s navigation context, and then deploy the model on AI Platform Prediction.
C
Embed the client on the website, deploy the gateway on App Engine, deploy the database on Cloud Bigtable for writing and for reading the user’s navigation context, and then deploy the model on AI Platform Prediction.
D
Embed the client on the website, deploy the gateway on App Engine, deploy the database on Memorystore for writing and for reading the user’s navigation context, and then deploy the model on Google Kubernetes Engine.
E
None of the above options fully meet the requirements. Please choose two options that together would best meet the requirements.