Book Image

Official Google Cloud Certified Professional Cloud Security Engineer Exam Guide

By : Ankush Chowdhary, Prashant Kulkarni
Book Image

Official Google Cloud Certified Professional Cloud Security Engineer Exam Guide

By: Ankush Chowdhary, Prashant Kulkarni

Overview of this book

Google Cloud security offers powerful controls to assist organizations in establishing secure and compliant cloud environments. With this book, you’ll gain in-depth knowledge of the Professional Cloud Security Engineer certification exam objectives, including Google Cloud security best practices, identity and access management (IAM), network security, data security, and security operations. The chapters go beyond the exam essentials, helping you explore advanced topics such as Google Cloud Security Command Center, the BeyondCorp Zero Trust architecture, and container security. With step-by-step explanations, practical examples, and practice exams to help you improve your skills for the exam, you'll be able to efficiently review and apply key concepts of the shared security responsibility model. Finally, you’ll get to grips with securing access, organizing cloud resources, network and data security, and logging and monitoring. By the end of this book, you'll be proficient in designing, developing, and operating security controls on Google Cloud and gain insights into emerging concepts for future exams.
Table of Contents (19 chapters)
16
Google Professional Cloud Security Engineer Exam – Mock Exam I
17
Google Professional Cloud Security Engineer Exam – Mock Exam II
18
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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...