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Google Professional-Cloud-Security-Engineer exam is a certification offered by Google for professionals who are responsible for ensuring the security of data and infrastructure in the cloud. Professional-Cloud-Security-Engineer-JPN exam is designed to test the candidate’s knowledge and skills in implementing security controls and maintaining compliance in the Google Cloud Platform (GCP). Google Cloud Certified - Professional Cloud Security Engineer Exam (Professional-Cloud-Security-Engineer日本語版) certification is intended for security engineers, security architects, and other professionals who have experience in cloud security.
Reference: https://cloud.google.com/certification/cloud-security-engineer
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Google Professional-Cloud-Security-Engineer Certification Exam (Google Cloud Certified - Professional Cloud Security Engineer) is a highly recognized credential that validates an individual's ability to design, develop, and implement robust security solutions for Google Cloud Platform (GCP). Google Cloud Certified - Professional Cloud Security Engineer Exam (Professional-Cloud-Security-Engineer日本語版) certification exams trains the participants in performing security assessments, conducting penetration testing, configuring and deploying security solutions, and managing incident responses on GCP.
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Google Professional-Cloud-Security-Engineer日本語 Exam Syllabus Topics:
| Section | Weight | Objectives |
| Ensuring data protection | 23% | - Protecting sensitive data and preventing data loss
- 1. Configuring Sensitive Data Protection (discovering and redacting PII, pseudonymization)
- 2. Restricting access to Google Cloud data services (BigQuery, Cloud Storage, Cloud SQL)
- 3. Securing secrets with Secret Manager
- 4. Protecting and managing compute instance metadata
|
| Configuring network security | 19% | - Designing network security
- 1. Using Cloud NAT to enable outbound traffic
- 2. Configuring load balancing for security (Cloud Armor, SSL policies)
- 3. Establishing private connectivity between VPC and Google APIs (Private Google Access, Private Service Connect)
- 4. Configuring network perimeter controls (firewall rules, hierarchical firewall policies, Cloud NGFW)
|
| Configuring access | 25% | - Managing Cloud Identity
- 1. Administering user accounts and groups programmatically
- 2. Automating user lifecycle management processes
- 3. Configuring Google Cloud Directory Sync and implementing SSO with a third-party identity provider
- 4. Configuring Workforce Identity Federation
- 5. Managing super administrator accounts
- Managing service accounts
- 1. Securing, auditing, and mitigating usage of service account keys
- 2. Managing and creating short-lived credentials
- 3. Identifying scenarios requiring service accounts
- 4. Creating, disabling, and authorizing service accounts
- 5. Securing and protecting service accounts (including default service accounts)
|
| Supporting compliance requirements | 14% | - Determining security requirements
- 1. Configuring audit logging and monitoring (Cloud Audit Logs, Access Transparency)
- 2. Implementing security controls for Vertex AI and AI/ML workloads
- 3. Identifying security requirements (e.g., regulatory, compliance)
|
| Managing operations | 19% | - Automating infrastructure and application security
- 1. Managing policy and drift detection at scale (CSPM, custom org policies, Security Health Analytics)
- 2. Configuring Binary Authorization for GKE or Cloud Run
- 3. Automating security scanning for CVEs through CI/CD pipelines
- 4. Automating virtual machine and container image creation (hardening, maintenance, patch management)
|