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Official Google Cloud Certified Professional Cloud Security Engineer Exam Guide

You're reading from  Official Google Cloud Certified Professional Cloud Security Engineer Exam Guide

Product type Book
Published in Aug 2023
Publisher Packt
ISBN-13 9781835468869
Pages 496 pages
Edition 1st Edition
Languages
Authors (2):
Ankush Chowdhary Ankush Chowdhary
Profile icon Ankush Chowdhary
Prashant Kulkarni Prashant Kulkarni
Profile icon Prashant Kulkarni
View More author details

Table of Contents (19) Chapters

Preface 1. Chapter 1: About the GCP Professional Cloud Security Engineer Exam 2. Chapter 2: Google Cloud Security Concepts 3. Chapter 3: Trust and Compliance 4. Chapter 4: Resource Management 5. Chapter 5: Understanding Google Cloud Identity 6. Chapter 6: Google Cloud Identity and Access Management 7. Chapter 7: Virtual Private Cloud 8. Chapter 8: Advanced Network Security 9. Chapter 9: Google Cloud Key Management Service 10. Chapter 10: Cloud Data Loss Prevention 11. Chapter 11: Secret Manager 12. Chapter 12: Cloud Logging 13. Chapter 13: Image Hardening and CI/CD Security 14. Chapter 14: Security Command Center 15. Chapter 15: Container Security 16. Google Professional Cloud Security Engineer Exam – Mock Exam I
17. Google Professional Cloud Security Engineer Exam – Mock Exam II 18. Other Books You May Enjoy

Best practices for Cloud DLP

It can be difficult to figure out where Cloud DLP fits in your architecture or to identify requirements for Cloud DLP. Here are some best practices for you to understand how to use Cloud DLP in various scenarios:

  • Use data profiling versus inspection jobs: Data profiling allows you to scan BigQuery tables in a scalable and automated manner without the need for orchestrating jobs. Considering the growth of data and the increasing number of tables, leveraging profiling features is recommended as it takes care of orchestration and running inspection jobs behind the scenes without any overhead. The inspection jobs can complement profilers when deeper investigation scans are needed. For example, if there are around 25,000 tables to be scanned, the recommendation is to scan all the tables with a profiler and then do a deep scan of 500 tables to flag sensitive/unstructured data that needs a more exhaustive investigation.
Figure 10.7 – Decision tree for inspection

Figure...

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