
Ultimate access to all questions.
You work for an online travel agency that also sells advertising placements on its website to other companies. Your task is to build a system to predict the most relevant web banner that a user should see next based on their navigation context. Security is a top priority for your company, and the model needs to meet a latency requirement of 300ms at the 99th percentile. The website handles thousands of web banners, and your exploratory data analysis indicates that a user's navigation context is a valuable predictor for the next banner. You want to implement the simplest solution that meets these requirements. How should you configure the prediction pipeline?
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, 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.