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PROFESSIONAL-CLOUD-ARCHITECT · Question #153
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 impro
The correct answer is D. Save a history of recommendations and results of the recommendations in BigQuery, to be used. Model performance is generally based on the volume of its training data input. The more the data, the better the model.
Submitted by wei.xz· Mar 30, 2026Optimizing technical and business processes
Question
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?
Options
- AExport Cloud Machine Learning Engine performance metrics from Stackdriver to BigQuery, to be
- BBuild a roadmap to move the machine learning model training from Cloud GPUs to Cloud TPUs,
- CMonitor Compute Engine announcements for availability of newer CPU architectures, and deploy
- DSave a history of recommendations and results of the recommendations in BigQuery, to be used
How the community answered
(50 responses)- A8% (4)
- B4% (2)
- C16% (8)
- D72% (36)
Explanation
Model performance is generally based on the volume of its training data input. The more the data, the better the model.
Topics
#machine learning#BigQuery#recommendation systems#model improvement
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