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Google Cloud Certified Professional Machine Learning Engineer · Google Cloud
Select one answer.
Written by other learners. Comments can disagree with the marked answer — check the official documentation when in doubt.
because other options are wrong
Task: "You also want to use AI Platform's continuous evaluation service to ensure that the models have high accuracy on your test dataset." Docs: https://cloud.google.com/vertex-ai/docs/evaluation/introduction "After your model is deployed to production, periodically evaluate your model with new incoming data. If the evaluation metrics show that your model performance is degrading, consider re-training your model. This process is called continuous evaluation."
D: Its definitely not a clear choice. B is the most obvious answer - you know you've got new data coming in, so why not incorporate it immediately into training. EXCEPT the question clearly states that Vertex continual evaluation should feature.