What is the primary goal of "data segregation" in data ethics and privacy?
A. To increase data accessibility
B. To protect sensitive information
C. To improve data quality
D. To isolate sensitive data from other data
Answer: Option B
Solution (By Examveda Team)
Data segregation refers to the practice of separating sensitive or confidential data from less critical data within systems or databases.The primary goal of data segregation is to isolate sensitive data from other data in order to enhance security and control access.
By isolating sensitive information, organizations can apply stricter security measures, comply with regulations, and reduce the risk of data breaches.
Option A is incorrect because increasing accessibility is not the aim of segregation—it often restricts access.
Option B is close, but not as precise as Option D; while protection is a benefit, the exact goal is isolation.
Option C is incorrect because improving data quality is not directly related to segregation.
Therefore, the correct answer is Option D: To isolate sensitive data from other data.
This Question Belongs to Data Science >> Data Ethics And Privacy
What does the term "data privacy" refer to in the context of data science?
A. Protecting data from cyberattacks
B. Safeguarding personal information
C. Ensuring data accuracy
D. Data analysis techniques
What is the primary goal of data anonymization in data ethics?
A. To increase data accessibility
B. To protect sensitive information
C. To improve data quality
D. To reduce computational complexity
In data science, what is "informed consent" with regard to data collection?
A. Collecting data without permission
B. Obtaining user consent to collect data
C. Gathering data secretly
D. Ignoring user preferences
What is the main concern addressed by GDPR (General Data Protection Regulation) in data privacy?
A. Ensuring data accuracy
B. Protecting data from theft
C. Protecting individuals' rights
D. Regulating data usage
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