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PROFESSIONAL-MACHINE-LEARNING-ENGINEER · Question #12
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…
The correct answer is D. 1. Build a notification system on Firebase. Firebase is designed for exactly this sort of scenario. Also, it would not be possible to create millions of pubsub topics due to GCP quotas https://cloud.google.com/pubsub/quotas#quotas https://firebase.google.com/docs/cloud-messaging
Submitted by chen.hong· Apr 18, 2026ML pipeline operationalization
Question
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?
Options
- A
- Create a Pub/Sub topic for each user.
- B
- Create a Pub/Sub topic for each user.
- C
- Build a notification system on Firebase.
- D
- Build a notification system on Firebase.
How the community answered
(31 responses)- A16% (5)
- B3% (1)
- C6% (2)
- D74% (23)
Explanation
Firebase is designed for exactly this sort of scenario. Also, it would not be possible to create millions of pubsub topics due to GCP quotas https://cloud.google.com/pubsub/quotas#quotas https://firebase.google.com/docs/cloud-messaging
Topics
#Prediction Serving#User Notifications#Firebase#ML Application Integration
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