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An ML dataset includes personal identifiers not required for the prediction task. Which two preparation measures are appropriate? Select 2 answers.
Published
- Restrict dataset access and apply suitable encryption and retention controls.
- Minimize or transform unnecessary sensitive fields according to the approved data-use policy.
- Copy all raw identifiers into public training logs.
- Assume a model accuracy improvement authorizes any use of personal data.
- Delete provenance so reviewers cannot identify the sensitive sources.
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