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NCP-GENL
Model Deployment
medium
Question 4 of 18

In an inference pipeline readiness meeting, the discussion is comparing several plausible interpretations. Which choice best applies the documented guidance for scheduler batching?

AChoose deduplication because dynamic batching is mainly a corpus-preparation operation.
BIgnore health checks and metrics because a serving stack does not need operational visibility.
CA Triton model scheduler can batch inference requests before sending them to a backend.
DPick a nearby lifecycle stage even though the blueprint separates the work into a different domain.

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