雇用主は、従業員の外れ値を特定し、所得格差を修正するために、時間の経過とともにボーナス報酬がどのように変化したかを追跡したいと考えています。このタスクは、個人の機密補償データを公開することなく実行する必要があり、外れ値を識別するために元に戻すことができる必要があります。
これを達成するには、どの Cloud Data Loss Prevention API 手法を使用する必要がありますか?
正解:D
Explanation
De-identifying sensitive data Cloud Data Loss Prevention (DLP) can de-identify sensitive data in text content, including text stored in container structures such as tables. De-identification is the process of removing identifying information from data. The API detects sensitive data such as personally identifiable information (PII), and then uses a de-identification transformation to mask, delete, or otherwise obscure the data. For example, de-identification techniques can include any of the following: Masking sensitive data by partially or fully replacing characters with a symbol, such as an asterisk (*) or hash (#). Replacing each instance of sensitive data with a token, or surrogate, string. Encrypting and replacing sensitive data using a randomly generated or pre-determined key. When you de-identify data using the CryptoReplaceFfxFpeConfig or CryptoDeterministicConfig infoType transformations, you can re-identify that data, as long as you have the CryptoKey used to originally de-identify the data.https://cloud.google.com/dlp/docs/deidentify-sensitive-data