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Question 60 - Professional Cloud Security Engineer discussion

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A company is running their webshop on Google Kubernetes Engine and wants to analyze customer transactions in BigQuery. You need to ensure that no credit card numbers are stored in BigQuery

What should you do?

A.
Create a BigQuery view with regular expressions matching credit card numbers to query and delete affected rows.
Answers
A.
Create a BigQuery view with regular expressions matching credit card numbers to query and delete affected rows.
B.
Use the Cloud Data Loss Prevention API to redact related infoTypes before data is ingested into BigQuery.
Answers
B.
Use the Cloud Data Loss Prevention API to redact related infoTypes before data is ingested into BigQuery.
C.
Leverage Security Command Center to scan for the assets of type Credit Card Number in BigQuery.
Answers
C.
Leverage Security Command Center to scan for the assets of type Credit Card Number in BigQuery.
D.
Enable Cloud Identity-Aware Proxy to filter out credit card numbers before storing the logs in BigQuery.
Answers
D.
Enable Cloud Identity-Aware Proxy to filter out credit card numbers before storing the logs in BigQuery.
Suggested answer: B

Explanation:

https://cloud.google.com/bigquery/docs/scan-with-dlp

Cloud Data Loss Prevention API allows to detect and redact or remove sensitive data before the comments or reviews are published. Cloud DLP will read information from BigQuery, Cloud Storage or Datastore and scan it for sensitive data.

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asked 18/09/2024
Geoffrey Vd Molen
41 questions
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