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Google Professional Machine Learning Engineer

Google Professional Machine Learning Engineer

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In the context of data privacy and protection strategies, the principle of 'data minimization' plays a critical role in ensuring compliance with global data protection regulations such as GDPR. A multinational corporation is planning to launch a new customer feedback system designed to collect personal data from users across the European Union. The project team is tasked with implementing data minimization to comply with GDPR requirements. Considering the need to balance data utility with privacy, which of the following best describes the principle of 'data minimization' that the team should adhere to? Choose the BEST option.

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Explanation:

The principle of data minimization under GDPR emphasizes the importance of collecting only the personal data that is strictly necessary for a specified purpose (Option B), and retaining it only for as long as necessary to fulfill that purpose (Option C). While encryption (Option A) and data compression (Option D) are important for data security and cost management, respectively, they do not directly relate to the principle of minimizing the amount of personal data collected. Therefore, the BEST answer is B, but since E suggests that both B and C are correct, and both are indeed aspects of data minimization, the second correct option is C.

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