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Answer: To protect individuals' privacy by removing or altering personally identifiable information (PII) from the dataset, enabling its use without compromising privacy.
The main goal of data anonymization is to safeguard individuals' privacy by eliminating or modifying personally identifiable information (PII) in datasets. This process allows organizations to analyze and share data without violating privacy laws like GDPR and CCPA. While options A, B, and C mention related concepts, they do not accurately describe the primary purpose of data anonymization. Anonymization is not primarily about speeding up data processing (A), ensuring compliance with every global regulation without exception (B), or securing data through encryption (C), which is a different security measure.
Author: LeetQuiz Editorial Team
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In the context of preparing a dataset for machine learning analysis while ensuring compliance with global privacy regulations such as GDPR and CCPA, what is the main goal of data anonymization? Choose the best option.
A
To significantly increase the processing speed of the dataset by removing unnecessary data.
B
To guarantee that the dataset meets all requirements of every international data protection law without further adjustments.
C
To protect the dataset from unauthorized access by implementing advanced encryption techniques.
D
To protect individuals' privacy by removing or altering personally identifiable information (PII) from the dataset, enabling its use without compromising privacy.
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