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?
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.
D . Save a history of recommendations and results of the recommendations in BigQuery, to be used as training data.
Answer: D
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