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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 Become an expert and get Google Cloud certified with this practitioner's guide

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Product type Paperback
Published in Aug 2023
Publisher Packt
ISBN-13 9781835468869
Length 496 pages
Edition 1st Edition
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Authors (2):
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Prashant Kulkarni Prashant Kulkarni
Author Profile Icon Prashant Kulkarni
Prashant Kulkarni
Ankush Chowdhary Ankush Chowdhary
Author Profile Icon Ankush Chowdhary
Ankush Chowdhary
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Table of Contents (19) Chapters Close

Preface 1. Chapter 1: About the GCP Professional Cloud Security Engineer Exam FREE CHAPTER 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 inspecting sensitive data

There are several things that you need to consider before starting an inspection. We will go over them now:

  • Identify and prioritize scanning: It’s important to identify your resources and specify which have the highest priority for scanning. When just getting started, you may have a large backlog of data that needs classification, and it’ll be impossible to scan it all immediately. Choose data initially that poses the highest risk—for example, data that is frequently accessed, widely accessible, or unknown.
  • Reduce latency: Latency is affected by several factors: the amount of data to scan, the storage repository being scanned, and the type and number of infoTypes that are enabled. To help reduce job latency, you can try the following:
    • Enable sampling.
    • Avoid enabling infoTypes you don’t need. While useful in certain scenarios, some infoTypes—including PERSON_NAME, FEMALE_NAME, MALE_NAME, FIRST_NAME...
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