Google Cloud Professional Cloud Architect — Question 177

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?

Answer options

• 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.

Correct answer: D

Explanation

The correct answer, D, emphasizes the importance of gathering historical data on recommendations and their effectiveness, which can significantly enhance the model's training process. Options A, B, and C focus on performance metrics and infrastructure upgrades, which do not directly contribute to improving the model's results from past recommendations.