PROFESSIONAL-MACHINE-LEARNING-ENGINEER · Question #311
You work for a bank. You need to train a model by using unstructured data stored in Cloud Storage that predicts whether credit card transactions are fraudulent. The data needs to be converted to a str
The correct answer is B. Use the DLP API to de-identify the sensitive data before loading it into BigQuery.. The DLP API (Data Loss Prevention API) can be used to identify and de-identify sensitive data (such as PII) in a scalable manner. This ensures that sensitive information is obfuscated or tokenized while retaining the data's utility for analysis. De-identifying the data before loa
Question
Options
- AUse BigQuery's authorized views and column-level access controls to restrict access to PII within
- BUse the DLP API to de-identify the sensitive data before loading it into BigQuery.
- CStore the unstructured data in a separate PII-compliant BigQuery database.
- DRemove the sensitive data from the files manually before loading them into BigQuery.
How the community answered
(26 responses)- A4% (1)
- B81% (21)
- C4% (1)
- D12% (3)
Explanation
The DLP API (Data Loss Prevention API) can be used to identify and de-identify sensitive data (such as PII) in a scalable manner. This ensures that sensitive information is obfuscated or tokenized while retaining the data's utility for analysis. De-identifying the data before loading it into BigQuery ensures compliance with the bank's policy that PII must remain in Cloud Storage, while allowing structured data analysis in BigQuery without risking exposure of sensitive information.
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