A mobile gaming company faces revenue loss and poor user experience due to increased player cheating. They've built a binary classification model to identify cheaters and need to deploy it for immediate action.
The suggested answer is D. Using Vertex AI's endpoint provides immediate online inference, crucial for minimizing revenue loss.
You work at a mobile gaming startup that creates online multiplayer games. Recently, your company observed an increase in players cheating in the games, leading to a loss of revenue and a poor user experience You built a binary classification model to determine whether a player cheated after a completed game session, and then send a message to other downstream systems to ban the player that cheated. Your model has performed well during testing, and you now need to deploy the model to production. You want your serving solution to provide immediate classifications after a completed game session to avoid further loss of revenue. What should you do?
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