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Google Professional Cloud Security Engineer: How to Protect PII in Website Usage Analytics Reports with Cloud DLP API?

Learn how to use Google Cloud Data Loss Prevention (DLP) API to discover and transform personally identifiable information (PII) in your website usage analytics reports, ensuring data privacy while preserving data integrity.

Table of Contents

Question

Your organization wants to publish yearly reports of your website usage analytics. You must ensure that no data with personally identifiable information (PII) is published by using the Cloud Data Loss Prevention (Cloud DLP) API. Data integrity must be preserved. What should you do?

A. Detect all PII in storage by using the Cloud DLP API. Create a cloud function to delete the PII.
B. Discover and quarantine your PII data in your storage by using the Cloud DLP API.
C. Discover and transform PII data in your reports by using the Cloud DLP API.
D. Encrypt the PII from the report by using the Cloud DLP API.

Answer

C. Discover and transform PII data in your reports by using the Cloud DLP API.

Explanation

To protect personally identifiable information (PII) in your organization’s yearly website usage analytics reports using the Cloud Data Loss Prevention (Cloud DLP) API, the best approach is to discover and transform the PII data in your reports.

The Cloud DLP API provides a set of powerful tools to help you manage sensitive data, including PII, in your Google Cloud environment. By using the API, you can scan your data storage and identify PII, such as names, email addresses, phone numbers, and more.

Once the PII is discovered in your reports, you can use the Cloud DLP API to transform the sensitive data while preserving data integrity. This transformation process involves applying techniques like tokenization, pseudonymization, or format-preserving encryption to the PII. These methods replace the sensitive data with non-sensitive equivalents, ensuring that the original data cannot be reconstructed without the proper key or token.

For example, if your report contains email addresses, the Cloud DLP API can replace them with obfuscated values like “user****@example.com”. This way, the structure and format of the data remain intact, but the sensitive information is protected.

By discovering and transforming PII data in your reports using the Cloud DLP API, you can:

  1. Comply with data privacy regulations and protect your users’ sensitive information
  2. Maintain the usefulness and integrity of your website usage analytics reports
  3. Automate the process of identifying and protecting PII in your data

Other options, such as deleting or quarantining PII data, may compromise the integrity and usefulness of your reports. Encrypting the PII using the Cloud DLP API alone does not provide sufficient protection, as the data would still be present in its original form within the reports.

In summary, leveraging the Cloud DLP API to discover and transform PII data in your website usage analytics reports is the most effective way to protect sensitive information while preserving data integrity and complying with data privacy regulations.

Google Professional Cloud Security Engineer certification exam assessment practice question and answer (Q&A) dump including multiple choice questions (MCQ) and objective type questions, with detail explanation and reference available free, helpful to pass the Google Professional Cloud Security Engineer exam and earn Google Professional Cloud Security Engineer certification.