Prerequisites

This Google certification has no official requirements, but it is recommended that the students have at least three years of industry experience and at least one year of work experience in the design and management of solutions with the use of GCP. They should also develop the skills and knowledge of the exam topics before attempting the test.

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

Google Professional Cloud Security Engineer Exam Cover Topics

Candidates must know the exam topics before they start of preparation. Because it will really help them in hitting the core. Our Google Professional Cloud Security Engineer exam dumps will include the following topics:

Management of operations in a cloud solution environment
Configuring access within a cloud solution environment
Ensuring compliance
Ensuring data protection
Configuring network security

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

Section	Weight	Objectives
Topic 1: 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 network perimeter controls (firewall rules, hierarchical firewall policies, Cloud NGFW) 4. Configuring load balancing for security (Cloud Armor, SSL policies)
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: Ensuring data protection	23%	- Protecting sensitive data and preventing data loss 1. Securing secrets with Secret Manager 2. Restricting access to Google Cloud data services (BigQuery, Cloud Storage, Cloud SQL) 3. Protecting and managing compute instance metadata 4. Configuring Sensitive Data Protection (discovering and redacting PII, pseudonymization)
Topic 4: Configuring access	25%	- Managing service accounts 1. Securing, auditing, and mitigating usage of service account keys 2. Managing and creating short-lived credentials 3. Securing and protecting service accounts (including default service accounts) 4. Identifying scenarios requiring service accounts 5. Creating, disabling, and authorizing service accounts - Managing Cloud Identity 1. Configuring Workforce Identity Federation 2. Automating user lifecycle management processes 3. Administering user accounts and groups programmatically 4. Configuring Google Cloud Directory Sync and implementing SSO with a third-party identity provider 5. Managing super administrator accounts
Topic 5: 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)