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Exam CIPT topic 1 question 132 discussion

Actual exam question from IAPP's CIPT

Question #: 132
Topic #: 1

A company configures their information system to have the following capabilities:
✑ Allow for selective disclosure of attributes to certain parties, but not to others.
Permit the sharing of attribute references instead of attribute values - such as `I am over 21` instead of birthday date.

✑ Allow for information to be altered or deleted as needed.
These capabilities help to achieve which privacy engineering objective?

A. Predictability.
B. Manageability.
C. Disassociability.
D. Integrity.

Show Suggested Answer

Suggested Answer: B 🗳️

by 837vq3 at Oct. 31, 2021, 6:12 p.m.

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Ssourav

7 months, 3 weeks ago

Selected Answer: B

B. Manageability. This objective focuses on the ability to handle and control personal data, ensuring that it can be disclosed selectively, referenced securely, and managed (altered or deleted) as required.

upvoted 2 times

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Doraaaaaaaaa

1 year, 2 months ago

Selected Answer: B

Manageability refers to the ability to granularly administer personal information, including modification, disclosure and deletion. Disassociability is the minimization of connections between data and individuals to the extent compatible with system operational requirements. .is minimization can take many forms, from maximally disassociated data in the form of high-level aggregated data, for example, to de-identified records pertaining to distinct individuals. Disassociability can also take the form of architectural data separation, in which identifiable.

upvoted 3 times

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3444

1 year, 7 months ago

Selected Answer: C

C is correct

upvoted 1 times

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z80r

2 years, 2 months ago

Selected Answer: C

C is correct

upvoted 1 times

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Ahpl

3 years ago

*it should be B - Manageability

upvoted 4 times

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837vq3

3 years, 5 months ago

NIST’s Privacy Engineering Program has proposed three privacy engineering objectives: predictability, manageability and disassociability. Disassociability is the minimization of connections between data and individuals to the extent compatible with system operational requirements. This minimization can take many forms, from maximally disassociated data in the form of high-level aggregated data, to de-identified records pertaining to distinct individuals. Disassociability can also take the form of architectural data separation, in which identifiable personal information is kept segregated from, but still linkable to, transactional data