CompTIA DataX DY0-001 (V1) Practice Question

Your data science team must release a patient readmission data set to external researchers. The file currently contains direct identifiers (patient name, Social Security number) and quasi-identifiers (full date of birth, 5-digit ZIP code). Compliance requires that (a) the released data no longer be considered protected health information (PHI) under the HIPAA Privacy Rule, so no patient authorization is needed, and (b) age and regional patterns remain analytically useful. Which preprocessing approach best meets both requirements?

  • Mask all but the last four digits of each Social Security number and hash patient names with SHA-256 while leaving other fields unchanged.

  • Replace each name and Social Security number with a random UUID but keep the full date of birth and 5-digit ZIP code intact.

  • Encrypt the entire data set with AES-256 and provide researchers with the decryption key after they sign a data-use agreement.

  • Remove the 18 identifiers listed in 45 CFR §164.514(b)(2), convert dates of birth to age in years, and truncate ZIP codes to their first three digits when the corresponding area exceeds 20,000 residents.

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