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What are the prerequisites for Google Professional Cloud Security Engineer Exam

Prerequisites: None
Recommended Experience: Google recommends that applicants have more than three years of industry experience, including more than one year in designing, managing, and protecting GCP-based solutions.

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
Configuring network security	19%	- Designing network security 1. Using Cloud NAT to enable outbound traffic 2. Establishing private connectivity between VPC and Google APIs (Private Google Access, Private Service Connect) 3. Configuring load balancing for security (Cloud Armor, SSL policies) 4. Configuring network perimeter controls (firewall rules, hierarchical firewall policies, Cloud NGFW)
Supporting compliance requirements	14%	- Determining security requirements 1. Implementing security controls for Vertex AI and AI/ML workloads 2. Configuring audit logging and monitoring (Cloud Audit Logs, Access Transparency) 3. Identifying security requirements (e.g., regulatory, compliance)
Configuring access	25%	- Managing service accounts 1. Creating, disabling, and authorizing service accounts 2. Securing and protecting service accounts (including default service accounts) 3. Securing, auditing, and mitigating usage of service account keys 4. Identifying scenarios requiring service accounts 5. Managing and creating short-lived credentials - Managing Cloud Identity 1. Automating user lifecycle management processes 2. Configuring Workforce Identity Federation 3. Configuring Google Cloud Directory Sync and implementing SSO with a third-party identity provider 4. Managing super administrator accounts 5. Administering user accounts and groups programmatically
Managing operations	19%	- Automating infrastructure and application security 1. Automating security scanning for CVEs through CI/CD pipelines 2. Configuring Binary Authorization for GKE or Cloud Run 3. Managing policy and drift detection at scale (CSPM, custom org policies, Security Health Analytics) 4. Automating virtual machine and container image creation (hardening, maintenance, patch management)
Ensuring data protection	23%	- Protecting sensitive data and preventing data loss 1. Protecting and managing compute instance metadata 2. Securing secrets with Secret Manager 3. Configuring Sensitive Data Protection (discovering and redacting PII, pseudonymization) 4. Restricting access to Google Cloud data services (BigQuery, Cloud Storage, Cloud SQL)