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Answer: 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., Embed the client on the website, and then deploy the model on AI Platform Prediction.
The simplest and most suitable solution that meets the latency, security, cost-effectiveness, compliance, and scalability requirements involves using services that ensure fast data retrieval and a managed model deployment. Cloud Bigtable is recommended for its high-throughput, low-latency capabilities, making it ideal for real-time context retrieval. App Engine serves as a scalable gateway, and AI Platform Prediction simplifies model deployment. This combination effectively addresses the need for performance, scalability, and simplicity. Option A is also considered for scenarios where the simplicity of deployment is prioritized, but it may not fully meet all the scalability and data retrieval speed requirements as effectively as option C.
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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.