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Google Professional-Cloud-Security-Engineer Exam Syllabus Topics:

SectionObjectives
Topic 1: Ensure data protection- Encryption and key management
  • 1. Data loss prevention (DLP) concepts
    • 2. Customer-managed encryption keys (CMEK)
      • 3. Cloud KMS and key lifecycle management
        Topic 2: Configure network security- Google Cloud network security controls
        • 1. Cloud Armor and DDoS protection
          • 2. VPC firewall rules
            • 3. Private Google Access and restricted services
              Topic 3: Configure access within a cloud solution environment- Identity and Access Management (IAM)
              • 1. Manage IAM roles and permissions
                • 2. Implement least privilege access
                  • 3. Service accounts and workload identity
                    Topic 4: Manage operations within a cloud security environment- Security monitoring and operations
                    • 1. Incident response and alerting
                      • 2. Logging and monitoring with Cloud Logging
                        • 3. Security Command Center usage

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                          Google Cloud Certified - Professional Cloud Security Engineer Exam Sample Questions (Q125-Q130):

                          NEW QUESTION # 125
                          A company migrated their entire data/center to Google Cloud Platform. It is running thousands of instances across multiple projects managed by different departments. You want to have a historical record of what was running in Google Cloud Platform at any point in time.
                          What should you do?

                          Answer: C


                          NEW QUESTION # 126
                          You are asked to recommend a solution to store and retrieve sensitive configuration data from an application that runs on Compute Engine. Which option should you recommend?

                          Answer: C

                          Explanation:
                          Explanation
                          Secret Manager is a secure and convenient storage system for API keys, passwords, certificates, and other sensitive data. Secret Manager provides a central place and single source of truth to manage, access, and audit secrets across Google Cloud. https://cloud.google.com/secret-manager


                          NEW QUESTION # 127
                          A large financial institution is moving its Big Data analytics to Google Cloud Platform. They want to have maximum control over the encryption process of data stored at rest in BigQuery.
                          What technique should the institution use?

                          Answer: B

                          Explanation:
                          Explanation/Reference: https://cloud.google.com/bigquery/docs/encryption-at-rest


                          NEW QUESTION # 128
                          Your organization wants to be General Data Protection Regulation (GDPR) compliant You want to ensure that your DevOps teams can only create Google Cloud resources in the Europe regions.
                          What should you do?

                          Answer: B

                          Explanation:
                          Use the org policy constraint "Google Cloud Platform - Resource Location Restriction" on your Google Cloud organization node: This organizational policy constraint allows you to restrict the locations where your resources can be created. By setting this constraint to allow only Europe regions, you can ensure compliance with GDPR and other regional regulations.
                          Implementation: To implement this, you need to configure the organization policy with the constraint constraints/gcp.resourceLocations. You can specify allowed regions such as europe-west1 and europe-west4 to ensure resources are only created in these locations.
                          Reference:
                          Resource Location Restriction documentation
                          GDPR compliance on Google Cloud


                          NEW QUESTION # 129
                          Your company wants to determine what products they can build to help customers improve their credit scores depending on their age range. To achieve this, you need to join user information in the company's banking app with customers' credit score data received from a third party. While using this raw data will allow you to complete this task, it exposes sensitive data, which could be propagated into new systems.
                          This risk needs to be addressed using de-identification and tokenization with Cloud Data Loss Prevention while maintaining the referential integrity across the database. Which cryptographic token format should you use to meet these requirements?

                          Answer: A


                          NEW QUESTION # 130
                          ......

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