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 service account can read all datasets, deploy any model, and change endpoint traffic in production. A compromised build step attempts to deploy an unapproved model. What should be fixed?

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Let the training step deploy directly because it already created the model artifact Separate least-privilege service accounts, approval gates, and deployment permissions by environment Disable pipeline logging so compromised steps leave less sensitive evidence Use the same broad service account but rely on code comments to prevent misuse

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