Requirements

This certification exam is intended for the specialists seeking to establish their careers as Google Cloud Platform Security Engineers. While there are no specific prerequisites to earning the Google Professional Cloud Security Engineer certificate, except for passing the qualifying test, it is worth mentioning that some practical experience is crucial to your success. The candidates are recommended to have three or more years of industry experience, including one or more years of experience in designing and managing the solutions based on Google Cloud Platform.

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3. Security in Google Cloud

This is the last course that candidates should go through to prepare for the Google Professional Cloud Security Engineer exam. This training covers the security controls on Google Cloud from a wider perspective. The domains addressed here include the mitigation techniques used to manage attacks at different points within a Google-centered infrastructure. These include phishing attacks, threats associated with content use or classification, and the distributed denial-of-service (DDoS).

Configure Network Security

Network Segmentation Configuration: This part evaluates one’s competence in network perimeter controls, and load balancing, including global, SSL proxy, network, TCP load balancer, and HTTP(S);
Network Security Design: The test takers will be required to demonstrate an understanding of security properties of VPC networks, shared VPC, firewall rules, and VPC peering. This objective also measures their skills in using DNSSEC, security policy for app-to-app, and network isolation & data encapsulation for N-tier application design;
Private Connectivity Establishment: The consideration for this topic includes enabling private connectivity between Google APIs and VPC as well as private RFC 1918 connectivity between Google Cloud Projects & VPC networks and between VPC network & data centers.

Reference: https://cloud.google.com/certification/cloud-security-engineer

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Target Audience

The potential candidates for this certification are the Cloud security engineers who have proficiency in different areas of Cloud Security. They include the definition of organizational policies and structures as well as management of identity & access with the use of the Google technologies to offer data protection. Besides that, they should also have the skills in network security defense configuration, collection and analysis of Google management of incident responses, and the understanding of regulatory issues.

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

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