
Ultimate access to all questions.
Your customer operates a web service that provides product recommendations to users of various e-commerce sites. Recently, they have started using a machine learning model deployed on Google Cloud Platform to improve the quality of their recommendation results. They are seeking ways to enhance the effectiveness of their machine learning model over time. What course of action should the customer take to achieve better results with their model?
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.