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

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

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                          Google Cloud Certified - Professional Cloud Security Engineer Exam Sample Questions (Q74-Q79):

                          NEW QUESTION # 74
                          Your organization is migrating its primary web application from on-premises to Google Kubernetes Engine (GKE). You must advise the development team on how to grant their applications access to Google Cloud services from within GKE according to security recommended practices. What should you do?

                          Answer: C

                          Explanation:
                          Workload Identity is the Google-recommended method for GKE workloads to access Google Cloud services.
                          It eliminates the need for manual management of service account keys (JSON files), which are a major security risk if leaked.1 According to Google Cloud Documentation (Workload Identity Federation for GKE):
                          "Workload Identity is the recommended way for your workloads running on GKE to access Google Cloud services in a secure and manageable way. It allows a Kubernetes service account in your GKE cluster to act as a Google IAM service account.2 When you use Workload Identity, you don't need to manage service account keys or store them as Kubernetes secrets." Why other options are incorrect:
                          * A is incorrect: Service account keys are long-lived and difficult to rotate. Using them increases the risk of credential theft.
                          * C & D are incorrect: Attaching a service account to a Node gives every pod running on that node the same permissions. This violates the Principle of Least Privilege because different workloads on the same node should have different permissions.
                          Reference:
                          Google Cloud Documentation: "Workload Identity Federation for GKE" (https://cloud.google.com
                          /kubernetes-engine/docs/how-to/workload-identity).
                          Google Cloud Security Engineer Study Guide: Chapter on "Managing Identities and Access - GKE Security."


                          NEW QUESTION # 75
                          Your company's new CEO recently sold two of the company's divisions. Your Director asks you to help migrate the Google Cloud projects associated with those divisions to a new organization node. Which preparation steps are necessary before this migration occurs? (Choose two.)

                          Answer: D

                          Explanation:
                          https://cloud.google.com/resource-manager/docs/project-migration#plan_policy When you migrate your project, it will no longer inherit the policies from its current place in the resource hierarchy, and will be subject to the effective policy evaluation at its destination. We recommend making sure that the effective policies at the project's destination match as much as possible the policies that the project had in its source location. https://cloud.google.com/resource-manager/docs/project-migration#import_export_folders Policy inheritance can cause unintended effects when you are migrating a project, both in the source and destination organization resources. You can mitigate this risk by creating specific folders to hold only projects for export and import, and ensuring that the same policies are inherited by the folders in both organization resources. You can also set permissions on these folders that will be inherited to the projects moved within them, helping to accelerate the project migration process.


                          NEW QUESTION # 76
                          You are creating a new infrastructure CI/CD pipeline to deploy hundreds of ephemeral projects in your Google Cloud organization to enable your users to interact with Google Cloud. You want to restrict the use of the default networks in your organization while following Google-recommended best practices. What should you do?

                          Answer: B

                          Explanation:
                          Enable the constraints/compute.skipDefaultNetworkCreation organization policy constraint at the organization level.
                          https://cloud.google.com/resource-manager/docs/organization-policy/org-policy-constraints - constraints/compute.skipDefaultNetworkCreation This boolean constraint skips the creation of the default network and related resources during Google Cloud Platform Project resource creation where this constraint is set to True. By default, a default network and supporting resources are automatically created when creating a Project resource.


                          NEW QUESTION # 77
                          Your organization operates in a highly regulated environment and has a stringent set of compliance requirements for protecting customer data. You must encrypt data while in use to meet regulations. What should you do?

                          Answer: C

                          Explanation:
                          Comprehensive and Detailed Explanation From Exact Extract:
                          The requirement is to protect data while in use (meaning data in memory or CPU registers, during processing). This is a concept addressed by Confidential Computing using Trusted Execution Environments (TEEs).
                          Extracts:
                          "Confidential VMs are an IaaS solution... Confidential VMs offer: Encryption for 'data in use', including the processor state and the virtual machine's memory." (Source 4.1)
                          "Confidential computing protects data during processing by isolating workloads inside hardware-based trusted execution environments (TEEs), ensuring even cloud operators cannot access them." (Source 4.3)
                          "Confidential VMs extend the standard virtual machine concept by adding hardware-enforced confidentiality controls... they ensure data remains encrypted not only at rest and in transit, but also while in use." (Source
                          4.4)
                          Options A (CMEK) and B (CSEK) protect data at rest (disk encryption). Option D (Shielded VM) protects integrity and prevents rootkit compromise but does not encrypt memory while the data is actively being processed. Only Confidential VM (or TEE) protects data in use.


                          NEW QUESTION # 78
                          As adoption of the Cloud Data Loss Prevention (DLP) API grows within the company, you need to optimize usage to reduce cost. DLP target data is stored in Cloud Storage and BigQuery. The location and region are identified as a suffix in the resource name.
                          Which cost reduction options should you recommend?

                          Answer: C

                          Explanation:
                          Explanation/Reference: https://cloud.google.com/dlp/docs/reference/rest/v2/InspectJobConfig


                          NEW QUESTION # 79
                          ......

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