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Google Professional Cloud Architect (PR000213) Exam - Topic 7 Question 39 Discussion

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?
D) Save a history of recommendations and results of the recommendations in BigQuery, to be used as training data.
A) Export Cloud Machine Learning Engine performance metrics from Stackdriver to BigQuery, to be used to analyze the efficiency of the model.
B) Build a roadmap to move the machine learning model training from Cloud GPUs to Cloud TPUs, which offer better results.
C) Monitor Compute Engine announcements for availability of newer CPU architectures, and deploy the model to them as soon as they are available for additional performance.

Google Professional Cloud Architect (PR000213) Exam - Topic 7 Question 39 Discussion

Actual exam question for Google's Professional Cloud Architect (PR000213) exam
Question #: 39
Topic #: 7
[All Professional Cloud Architect (PR000213) 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?

Show Suggested Answer Hide Answer
Suggested Answer: D

https://cloud.google.com/solutions/building-a-serverless-ml-model


by Valentine at May 06, 2022, 12:33 PM

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Quinn
10 months ago
Definitely agree with D, more data equals better recommendations!
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Tamekia
10 months ago
Not sure about C, newer CPUs don't always mean better performance.
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Mozell
11 months ago
Wait, can TPUs really make that much difference?
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Bambi
11 months ago
I think A is crucial too, metrics help track progress.
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Shaunna
11 months ago
Option D sounds solid! Historical data is key for training.
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Murray
11 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
11 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
11 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
11 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
11 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
11 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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