C is the answer

The recommended approach for sanitizing data of personally identifiable information or payment card information before storing it in Cloud Bigtable is option C: De-identify the data with the Cloud Data Loss Prevention API. The Cloud Data Loss Prevention (DLP) API is a powerful tool that allows you to automatically discover, classify, and redact sensitive data in your organization. It uses advanced machine learning techniques to accurately identify and protect a wide range of sensitive data types, including personal information such as names, addresses, phone numbers, and payment card information. Using the DLP API to de-identify your data before storing it in Cloud Bigtable is the most effective way to ensure that sensitive information is protected and not accessible to unauthorized users.

Without any doubt C is the right answer as the DLP API is a flexible and robust tool that helps identify sensitive data like credit card numbers, social security numbers, names and other forms of personally identifiable information (PII).

Cloud Data Loss Prevention API provides obfuscation and de-identification methods like masking and tokenization. Especially for credit card transactions, the card numbers are supposed to be tokenized. Therefore, this API is helpful.

C for sure !

C is correct, DLP is the solution

ok for C

C is the correct answer

Go for C

Answer is C

C. De-identify the data with the Cloud Data Loss Prevention API

C is correct

Effectively reduce data risk with de-identification methods like masking and tokenization https://cloud.google.com/dlp

Answer is C

C is ok

https://cloud.google.com/dlp Effectively reduce data risk with de-identification methods like masking and tokenization. C is right.

I LOL on answer A.... *clap* *clap* *clap*.... hash all data...