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Answer: Use data masking and anonymization techniques to create sanitized versions of production data for development use.
Option C is the most suitable strategy for ensuring developers can work with realistic datasets without exposing sensitive information. Data masking involves replacing sensitive information with realistic but fictional data, while anonymization techniques remove or encrypt personally identifiable information. This approach allows developers to have access to production-like data for testing purposes while minimizing the risk of data breaches and ensuring compliance with data protection regulations. It effectively balances the need for realistic datasets for development work with the imperative to protect sensitive information. Option A, creating synthetic data, is a valid strategy but may not always accurately represent the complexities of real production data. Option B, providing full access to production data and relying on confidentiality agreements, poses a high risk of exposing sensitive information. Option D, granting access with close monitoring, is inefficient and may still result in sensitive data exposure.
Author: LeetQuiz Editorial Team
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Developers require access to production-like data for testing purposes. Which strategy effectively allows them to work with realistic datasets while ensuring sensitive information remains protected?
A
Create synthetic data that mimics production data characteristics without containing any real user information.
B
Provide developers with full access to production data, relying on contractual confidentiality agreements to prevent misuse.
C
Use data masking and anonymization techniques to create sanitized versions of production data for development use.
D
Grant access to production data but monitor usage closely through auditing tools to ensure no sensitive data is exposed.
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