A team wants to compare a candidate model on real request traffic without returning its predictions to users. Which feature should be evaluated?

Published
  1. Training-set evaluation labeled as production shadow traffic.
  2. A 100% traffic switch to the candidate.
  3. Only a CPU alarm on the current model.
  4. A SageMaker shadow test with appropriate result comparison and data protections.

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