Get IAPP CIPT Exam Practice Questions - Real and Updated

Answer : D

Data aggregation involves combining data from multiple sources to create a comprehensive dataset. One of the main benefits of data aggregation is that it can help achieve de-identification and unlinkability. By aggregating data, individual data points are merged into broader categories or summaries, reducing the risk that specific individuals can be identified from the dataset. This is particularly useful in privacy contexts where protecting individual identities is paramount. Aggregated data can provide valuable insights while maintaining privacy and security standards.

Answer : A

Pseudonymous data refers to datasets where identifiers have been replaced with pseudonyms, allowing the data to still be linked to the same individual without directly revealing their identity. This means that while the data cannot directly identify an individual without additional information, it is still possible to re-identify the individual if the pseudonym is linked back to the individual.

IAPP Certification Textbooks: 'Pseudonymization' is explained as a privacy-enhancing technique where direct identifiers are replaced with pseudonyms, allowing data to be re-identified only under specific conditions.

Answer : B

Option A: Quality and benefit are important in design but do not specifically capture the essence of value sensitive design, which is more about ethical considerations.

Option B: Value sensitive design integrates considerations of ethics and morality into the technology design process, ensuring that the resulting systems align with human values.

Option C: Confidentiality and integrity are key aspects of information security but are not the primary focus of value sensitive design.

Option D: Consent and human rights are related to privacy and data protection but are narrower than the broader focus of ethics and morality in value sensitive design.

IAPP CIPT Study Guide

Literature on Value Sensitive Design (VSD) principles and methodologies

Answer : D

Option A: Receiving spam is a negative outcome but is often considered more of an inconvenience than an objective harm.

Option B: Negative feelings from surveillance are subjective because they pertain to personal emotions rather than measurable impacts.

Option C: Social media profile views are again more subjective unless they lead to measurable negative consequences.

Option D: Inaccuracies in personal data are objective because they can lead to concrete and measurable harms such as financial loss, wrongful decisions, or incorrect profiling.

IAPP CIPT Study Guide

Privacy Impact Assessment (PIA) frameworks discussing objective vs. subjective harm

Answer : A

Masking data involves obscuring certain parts of data to protect sensitive information while allowing some level of visibility. In the case of a credit card, masking typically involves showing only the last few digits while hiding the rest, which is a common practice to protect the full card number from unauthorized access. This method helps in balancing the need for data utility with the requirement for data protection.