フリー問題

NVIDIA-Certified Professional: Accelerated Data Science のフリー問題 20 / 20 問目

問題文

A model artifact is stored so that a serving system can load it. Which storage practice supports rollback?

選択肢

  1. Overwrite the artifact at a fixed path each time a new version is promoted, and keep the previous bytes in a backup taken by the storage layer, because relying on the storage layer's own retention means the serving configuration never has to change and the rollback is handled entirely by infrastructure.
  2. Store only the current version, since keeping old artifacts wastes storage and the training run can always be repeated from the recorded configuration whenever an older model is wanted.
  3. Embed the version number inside the artifact file itself; whichever file the serving system happens to load announces which version it is.
  4. Store every version under an immutable identifier and keep a separate mutable pointer that names which version is currently serving.

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