How should data be handled according to data privacy policies when exporting?

Prepare for the Adobe Experience Platform Test with questions and explanations. Optimize your study and boost your confidence for the exam.

When exporting data, adhering to data privacy policies typically requires that data is hashed to all destinations. This means that, before data is transmitted or stored outside of its original environment, it should be transformed using a hash function. Hashing serves as a method of anonymizing the data, which enhances privacy by ensuring that even if the exported data is intercepted or accessed without authorization, it cannot be easily reverted to its original form.

This practice protects sensitive information while allowing organizations to utilize the data for analysis and operational purposes without compromising individual privacy. Hashing at all destinations ensures compliance with various regulations, such as GDPR and CCPA, which mandate that personal data must be adequately protected regardless of where it is stored or processed.

Other options indicate less stringent measures. For instance, keeping data unhashed exposes it directly to risks when exported. Hashing data only at the source does not provide protection throughout its lifecycle, especially at the point of transfer. Storing all data locally could also create vulnerabilities and does not necessarily meet data privacy obligations, especially when data sharing is needed for operational efficiency.

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