Google Cloud Professional Machine Learning Engineer — Question 24

Your team is building an application for a global bank that will be used by millions of customers. You built a forecasting model that predicts customers' account balances 3 days in the future. Your team will use the results in a new feature that will notify users when their account balance is likely to drop below $25. How should you serve your predictions?

Answer options

• A. 1. Create a Pub/Sub topic for each user. 2. Deploy a Cloud Function that sends a notification when your model predicts that a user's account balance will drop below the $25 threshold.
• B. 1. Create a Pub/Sub topic for each user. 2. Deploy an application on the App Engine standard environment that sends a notification when your model predicts that a user's account balance will drop below the $25 threshold.
• C. 1. Build a notification system on Firebase. 2. Register each user with a user ID on the Firebase Cloud Messaging server, which sends a notification when the average of all account balance predictions drops below the $25 threshold.
• D. 1. Build a notification system on Firebase. 2. Register each user with a user ID on the Firebase Cloud Messaging server, which sends a notification when your model predicts that a user's account balance will drop below the $25 threshold.

Correct answer: D

Explanation

Answer D is correct because it specifies using Firebase Cloud Messaging to send notifications based on individual user predictions, which meets the requirement of notifying users about their specific account balance. Options A and B are less suitable as they rely on Pub/Sub topics, which are not designed for direct user notifications in this context. Option C incorrectly suggests using an average of predictions, which does not align with the goal of alerting users about their individual account balances.