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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. VPC firewall rules
          • 2. Private Google Access and restricted services
            • 3. Cloud Armor and DDoS protection
              Topic 3: 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
                    Topic 4: 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

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                          Google Professional-Cloud-Security-Engineer Exam Pattern | Professional-Cloud-Security-Engineer Latest Test Fee

                          The Google Professional-Cloud-Security-Engineer certification brings multiple career benefits. Reputed firms happily hire you for well-paid jobs when you earn the Google Cloud Certified - Professional Cloud Security Engineer Exam. If you are already an employee of a tech company, you get promotions and salary hikes upon getting the Professional-Cloud-Security-Engineer credential. All these career benefits come when you crack the Google Professional-Cloud-Security-Engineer certification examination. To pass the Professional-Cloud-Security-Engineer test, you need to prepare well from updated practice material such as real Google Professional-Cloud-Security-Engineer Exam Questions.

                          Google Cloud Certified - Professional Cloud Security Engineer Exam Sample Questions (Q72-Q77):

                          NEW QUESTION # 72
                          A customer needs to prevent attackers from hijacking their domain/IP and redirecting users to a malicious site through a man-in-the-middle attack.
                          Which solution should this customer use?

                          Answer: A

                          Explanation:
                          Explanation/Reference: https://cloud.google.com/blog/products/gcp/dnssec-now-available-in-cloud-dns


                          NEW QUESTION # 73
                          Your team wants to make sure Compute Engine instances running in your production project do not have public IP addresses. The frontend application Compute Engine instances will require public IPs. The product engineers have the Editor role to modify resources. Your team wants to enforce this requirement.
                          How should your team meet these requirements?

                          Answer: C

                          Explanation:
                          https://cloud.google.com/resource-manager/docs/organization-policy/org-policy- constraints#constraints-for-specific-services


                          NEW QUESTION # 74
                          You work for an ecommerce company that stores sensitive customer data across multiple Google Cloud regions. The development team has built a new 3-tier application to process orders and must integrate the application into the production environment. You must design the network architecture to ensure strong security boundaries and isolation for the new application, facilitate secure remote maintenance by authorized third-party vendors, and follow the principle of least privilege. What should you do?

                          Answer: A

                          Explanation:
                          This question combines three security requirements: strong isolation (segmentation), secure remote access, and least privilege.
                          Strong Isolation: Creating separate VPC networks for each tier (C) provides the strongest network isolation
                          /segmentation, limiting the blast radius compared to a single VPC with subnets (B, D). VPC peering is the standard way to allow controlled communication between these separate VPCs.
                          Extract: "Isolate sensitive data in its own VPC network." (Source 2.5) Segmentation via separate VPCs is a standard best practice for isolating sensitive workloads.
                          Secure Remote Access and Least Privilege: Identity-Aware Proxy (IAP) is the recommended Google Cloud service to provide secure remote access to virtual machine instances without requiring a public IP or VPN, which aligns with the zero-trust principle of explicit validation and least privilege by verifying user identity and context. Granting SSH keys and root access (A) or the Network Admin role (B) or Project Ownership (D) violates the principle of least privilege.
                          Extract: "Access control: Enforce access controls based on user identity and context by using solutions like...
                          Identity-Aware Proxy (IAP). By doing this, you shift security from the network perimeter to individual users and devices. This approach enables granular access control and reduces the attack surface." (Source 2.2) Extract: "BeyondCorp uses Google Cloud tools, such as... and Identity-Aware Proxy, to push the perimeter from the network to individual devices and users." (Source 2.3) Extract: "IAP protects GCP-hosted applications by verifying user identity and context before granting access... When you grant a user access to an application or resource by IAP, they're subject to the fine-grained access controls implemented by the product in use without requiring a VPN." (Source 2.3) Option C is the only one that satisfies all three requirements by using separate VPCs (strong isolation) and IAP (secure remote access with least privilege).


                          NEW QUESTION # 75
                          A company is running their webshop on Google Kubernetes Engine and wants to analyze customer transactions in BigQuery. You need to ensure that no credit card numbers are stored in BigQuery What should you do?

                          Answer: B

                          Explanation:
                          Explanation
                          https://cloud.google.com/bigquery/docs/scan-with-dlp
                          Cloud Data Loss Prevention API allows to detect and redact or remove sensitive data before the comments or reviews are published. Cloud DLP will read information from BigQuery, Cloud Storage or Datastore and scan it for sensitive data.


                          NEW QUESTION # 76
                          You have the following resource hierarchy. There is an organization policy at each node in the hierarchy as shown. Which load balancer types are denied in VPC A?

                          Answer: A


                          NEW QUESTION # 77
                          ......

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