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Google Professional Cloud Architect Exam - Topic 7 Question 39 Discussion

Actual exam question for Google's Professional Cloud Architect exam
Question #: 39
Topic #: 7
[All Professional Cloud Architect Questions]

Your customer runs a web service used by e-commerce sites to offer product recommendations to users. The company has begun experimenting with a machine learning model on Google Cloud Platform to improve the quality of results.

What should the customer do to improve their model's results over time?

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Quinn
4 months ago
Definitely agree with D, more data equals better recommendations!
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Tamekia
4 months ago
Not sure about C, newer CPUs don't always mean better performance.
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Mozell
4 months ago
Wait, can TPUs really make that much difference?
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Bambi
4 months ago
I think A is crucial too, metrics help track progress.
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Shaunna
5 months ago
Option D sounds solid! Historical data is key for training.
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Murray
5 months ago
I recall a practice question where we discussed the importance of training data. Option D seems like it would provide valuable insights for future recommendations.
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Gene
5 months ago
I feel like moving to Cloud TPUs in option B could be beneficial, but I’m not clear on how much of a difference it would actually make.
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Carol
5 months ago
I'm not entirely sure, but I remember something about using performance metrics from Stackdriver. Maybe option A could help analyze the model's efficiency?
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Deonna
5 months ago
I think option D makes the most sense since saving a history of recommendations could help improve the model over time.
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Leigha
5 months ago
Okay, let me see. I think the key is understanding the difference between real and nominal interest rates. Real rate is the rate adjusted for inflation, while nominal is the stated rate. So I'm leaning towards either A or C as the correct answer.
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Kerry
5 months ago
Hmm, I'm a bit unsure about this one. I'm trying to think through the different options, but I'm not entirely confident in my answer. Let me re-read the question carefully.
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