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Network Security Configuration
This domain is created to measure the expertise of the individuals in designing network security. This includes their knowledge of security properties of a VPC network, shared VPC, VPC peering, and firewall rules. The test takers should also be conversant with data encapsulation & network isolation for N tier application design, usage of DNSSEC, private versus public addressing, and app-to-app security policy. The section also covers one’s competency in configuring network segmentation, including an understanding of network perimeter controls as well as load balancing. Lastly, the candidates need to show their ability to establish private connectivity, including Private RFC1918 connectivity between Google Cloud projects and VPC networks, Private RFC1918 connectivity between the VPC network and data centers, as well as enabling private connectivity between Google APIs and VPC.
Reference: https://cloud.google.com/certification/cloud-security-engineer
Career Advantages
Obtaining the Google Professional Cloud Security Engineer certification demonstrates your ability to design and implement a secure infrastructure on Google Cloud Platform. This certificate opens up a wide range of job opportunities. You can take up the job roles, such as a Cloud Information Security Analyst, a Cloud Information Security Architect, a Cloud Information Security Engineer, a Cloud Infrastructure Architect, a Cloud Application Developer, and more. The average salary associated with these titles is $176,113 per year.
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Google Professional-Cloud-Security-Engineer Exam Syllabus Topics:
| Section | Weight | Objectives |
| Topic 1: Ensuring data protection | 23% | - Protecting sensitive data and preventing data loss
- 1. Protecting and managing compute instance metadata
- 2. Configuring Sensitive Data Protection (discovering and redacting PII, pseudonymization)
- 3. Securing secrets with Secret Manager
- 4. Restricting access to Google Cloud data services (BigQuery, Cloud Storage, Cloud SQL)
|
| Topic 2: Managing operations | 19% | - Automating infrastructure and application security
- 1. Configuring Binary Authorization for GKE or Cloud Run
- 2. Automating virtual machine and container image creation (hardening, maintenance, patch management)
- 3. Automating security scanning for CVEs through CI/CD pipelines
- 4. Managing policy and drift detection at scale (CSPM, custom org policies, Security Health Analytics)
|
| Topic 3: Configuring network security | 19% | - Designing network security
- 1. Configuring load balancing for security (Cloud Armor, SSL policies)
- 2. Configuring network perimeter controls (firewall rules, hierarchical firewall policies, Cloud NGFW)
- 3. Establishing private connectivity between VPC and Google APIs (Private Google Access, Private Service Connect)
- 4. Using Cloud NAT to enable outbound traffic
|
| Topic 4: Supporting compliance requirements | 14% | - Determining security requirements
- 1. Configuring audit logging and monitoring (Cloud Audit Logs, Access Transparency)
- 2. Identifying security requirements (e.g., regulatory, compliance)
- 3. Implementing security controls for Vertex AI and AI/ML workloads
|
| Topic 5: Configuring access | 25% | - Managing service accounts
- 1. Creating, disabling, and authorizing service accounts
- 2. Managing and creating short-lived credentials
- 3. Securing and protecting service accounts (including default service accounts)
- 4. Identifying scenarios requiring service accounts
- 5. Securing, auditing, and mitigating usage of service account keys
- Managing Cloud Identity
- 1. Configuring Google Cloud Directory Sync and implementing SSO with a third-party identity provider
- 2. Configuring Workforce Identity Federation
- 3. Administering user accounts and groups programmatically
- 4. Managing super administrator accounts
- 5. Automating user lifecycle management processes
|