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Answer: Build a notification system on Firebase, registering each user with a unique ID in Firebase Cloud Messaging (FCM). Configure FCM to send personalized notifications when the model predicts an individual's balance will drop below $25., Combine the use of Firebase for user registration and notifications with Cloud Functions for processing predictions. Register each user in FCM and use a Cloud Function to analyze predictions and trigger FCM notifications for balances predicted below $25.
The optimal solutions are: - **Option D**: This approach leverages Firebase's scalability and ease of use for sending personalized notifications directly based on individual predictions, ensuring a tailored user experience without unnecessary complexity. - **Option E**: Combining Firebase with Cloud Functions offers a flexible and scalable solution, where Cloud Functions can process predictions efficiently, and Firebase ensures the delivery of personalized notifications. This hybrid approach is particularly suited for applications requiring complex prediction processing before notification. These options are preferred because: - **Personalization and Scalability**: Both options ensure notifications are personalized and scalable, catering to millions of users efficiently. - **Cost-Effectiveness**: Firebase and Cloud Functions provide cost-effective solutions for handling large-scale notifications and data processing. - **Implementation Efficiency**: Firebase simplifies the notification delivery process, while Cloud Functions offer the flexibility to process predictions as needed. Other options are less suitable due to: - **Option A**: Managing a Pub/Sub topic for each user is resource-intensive and not scalable for millions of users. - **Option B**: Using the average balance for notifications lacks personalization, failing to meet the requirement for individualized alerts. - **Option C**: While using Cloud Functions for processing is efficient, creating a Pub/Sub topic per user is not scalable for a large user base. In conclusion, options D and E best align with the bank's requirements for scalability, cost-efficiency, and personalized user experience.
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Your team is developing a cutting-edge application for a multinational bank designed to serve millions of customers worldwide. The application includes a forecasting model that predicts individual customers' account balances three days in advance with high accuracy. The team aims to leverage these predictions to introduce a proactive feature that alerts users via notifications when their account balance is predicted to fall below a critical threshold of $25, helping them avoid potential overdraft fees. Given the bank's emphasis on scalability, cost-efficiency, and personalized user experience, which of the following solutions BEST meets these requirements? Choose the two most appropriate options.
A
Implement a dedicated Pub/Sub topic for each user to manage notifications. Deploy the application on Google App Engine's standard environment, which processes the predictions and sends notifications when a user's balance is predicted to drop below $25.
B
Utilize Firebase to construct a notification system. Register each user with a unique identifier in Firebase Cloud Messaging (FCM), configuring it to send notifications based on the average predicted balance of all users falling below $25.
C
Create a Pub/Sub topic for each user to handle notifications. Deploy a Cloud Function that triggers notifications when the model predicts a user's balance will drop below $25.
D
Build a notification system on Firebase, registering each user with a unique ID in Firebase Cloud Messaging (FCM). Configure FCM to send personalized notifications when the model predicts an individual's balance will drop below $25.
E
Combine the use of Firebase for user registration and notifications with Cloud Functions for processing predictions. Register each user in FCM and use a Cloud Function to analyze predictions and trigger FCM notifications for balances predicted below $25.