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Answer: De-identify the data with the Cloud Data Loss Prevention API
The recommended approach for sanitizing data of personally identifiable information or payment card information before storing it in Cloud Bigtable is to de-identify the data using the Cloud Data Loss Prevention (DLP) API. The DLP API is a powerful tool that allows you to automatically discover, classify, and redact sensitive data. It effectively reduces data risk with de-identification methods like masking and tokenization. Option A (hashing), Option B (encryption), and Option D (using regular expressions) are not as effective or comprehensive as the DLP API for this purpose.
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In a scenario where your customer support tool logs all email and chat conversations to Cloud Bigtable for long-term retention and subsequent analysis, it is crucial to sanitize the data to remove any personally identifiable information (PII) or payment card information (PCI) before storing it. What is the recommended approach for performing this sanitization to ensure compliance with data protection regulations?
A
Hash all data using SHA256
B
Encrypt all data using elliptic curve cryptography
C
De-identify the data with the Cloud Data Loss Prevention API
D
Use regular expressions to find and redact phone numbers, email addresses, and credit card numbers