Your organization wants to publish yearly reports of your website usage analytics.

To ensure that no personally identifiable information (PII) is published in your yearly website usage analytics reports while preserving data integrity, the Cloud Data Loss Prevention (Cloud DLP) API can be utilized to identify and transform PII within your datasets.​

Option A: Encrypting PII does not remove it from the reports; it merely obscures it, which may not be sufficient for compliance or privacy requirements.​

Option B: Discovering and transforming PII ensures that sensitive information is either masked, tokenized, or otherwise obfuscated, effectively removing PII from the reports while maintaining the overall structure and utility of the data.​

Option C: Detecting and deleting PII could lead to loss of valuable data and may disrupt the integrity of the reports.​

Option D: Quarantining PII data implies isolating it, which doesn't address the need to publish reports without PII.​

Therefore, Option B is the most appropriate approach, as it leverages the Cloud DLP API to identify and transform PII, ensuring that the published reports are free from sensitive information while preserving data integrity.​