PROFESSIONAL-MACHINE-LEARNING-ENGINEER · Question #311
PROFESSIONAL-MACHINE-LEARNING-ENGINEER Question #311: Real Exam Question with Answer & Explanation
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Question
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 structured format to facilitate analysis in BigQuery. Company policy requires that data containing personally identifiable information (PII) remain in Cloud Storage. You need to implement a scalable solution that preserves the data's value for analysis. What should you do?
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.
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