Multiple Choice Flashcards on 02 Google Cloud Professional Machine Learning E...

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Flashcard Practice Google Cloud Professional Machine Learning Engineer Multiple Choice

A pipeline deploys a retrained model after the training step succeeds, but no baseline comparison is performed. What risk does this create?

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A statistically weaker model can replace a better production model because training success is treated as readiness The registry may reject future model versions because one candidate lacked comparison The endpoint may wait for manual URL updates even though model quality is acceptable The source repository may lose preprocessing history because the training job completed

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