Google Exam Professional Machine Learning Engineer Topic 4 Question 67 Discussion

Actual exam question for Google's Professional Machine Learning Engineer exam

Question #: 67
Topic #: 4

[All Professional Machine Learning Engineer Questions]

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 customers1 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?

A1. 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.

B1. 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

C1. 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

D1 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

Show Suggested Answer

Suggested Answer: A

by Arlene at Nov 25, 2023, 02:02 AM

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Herman

12 days ago

That's a good point, but I still think option A is more efficient for notifying users in real-time.

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Magnolia

16 days ago

I disagree, I believe option C is better as it sends a notification based on the average of all account balance predictions, providing a more comprehensive approach.

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Herman

17 days ago

I think option A is the best choice because it directly sends a notification when the account balance is predicted to drop below $25.

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