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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?

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Suggested Answer: A

Contribute your Thoughts:

Kenia
1 months ago
I wonder if the bank's IT department has a dedicated 'Notification Fatigue Response Team' to handle all the complaints from irritated customers.
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Iluminada
2 days ago
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.
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Chaya
2 months ago
I'm not sure, but I hope the bank's customers don't get so many notifications that they start using their accounts to play the lottery instead.
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Lenna
25 days ago
C) Build a notification system on Firebase. 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.
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Judy
27 days ago
B) Create a Pub/Sub topic for each user. 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.
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Tula
1 months ago
A) Create a Pub/Sub topic for each user. Deploy a Cloud Function that sends a notification when your model predicts that a user's account balance will drop below the $25 threshold.
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Hermila
2 months ago
Option C is an interesting approach, but I'm not sure about the idea of using the average of all account balance predictions to trigger notifications. Shouldn't we focus on individual users' accounts?
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Amie
2 months ago
Option B looks good, but I'm not sure if the App Engine standard environment is the best choice for a global banking application. It might be overkill for this use case.
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Kami
2 months ago
I'm leaning towards Option D. Using Firebase Cloud Messaging to send targeted notifications to each user based on their individual account balance predictions seems like a robust solution.
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Willow
15 days ago
Definitely, Option D provides a more tailored approach to notifying users about potential drops in their account balance. It's a smart choice for a global bank application.
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Pamella
16 days ago
Definitely, we want to provide a reliable and efficient service for the bank's customers.
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Owen
17 days ago
It's important to make sure users are notified accurately about their account balances.
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Fairy
19 days ago
I agree, using Firebase Cloud Messaging for targeted notifications is a reliable way to keep users informed about their account balances.
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Kenny
27 days ago
I agree, using Firebase Cloud Messaging for targeted notifications is a smart move.
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Nida
1 months ago
Option D sounds like the best choice. It's important to send personalized notifications to each user based on their predicted account balance.
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Junita
2 months ago
Option D sounds like the best choice for personalized notifications.
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Jaclyn
2 months ago
Option A seems like the most straightforward approach. Using a Pub/Sub topic for each user and a Cloud Function to handle the notification logic seems efficient and scalable.
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Herman
2 months 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
3 months 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
3 months 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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