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Configure Network Security

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.
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;

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Google Professional Cloud Security Engineer Exam Reference

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

What is Google Professional Cloud Security Engineer Exam

The Google Professional Cloud Security Engineer is a private administrator responsible for helping organizations define and enforce a highly secure infrastructure on the Google Cloud Platform (GCP). GCP's professional cloud security Engineer uses an in-depth understanding of security and safety best practices, as well as an in-depth understanding of market security needs.

The cloud security designer brings his knowledge to the design, advancement, and management of the framework through Google security innovations. The GCP Cloud Security Engineer Certification Exam helps validate an individual's proficiency in various skills. Skills and areas of understanding include identifying and tracking access, as well as using Google security technologies to ensure data protection.

The certification exam will no doubt also assess candidates' abilities to configure network security measures and collect and evaluate Google Cloud logs. In addition, the role of a cloud security designer also includes event response management and a broader understanding of regulatory policies.

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

Section	Weight	Objectives
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)
Configuring access	25%	- Managing Cloud Identity 1. Automating user lifecycle management processes 2. Administering user accounts and groups programmatically 3. Configuring Workforce Identity Federation 4. Managing super administrator accounts 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. Identifying scenarios requiring service accounts 3. Creating, disabling, and authorizing service accounts 4. Securing and protecting service accounts (including default service accounts) 5. Managing and creating short-lived credentials
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 network security	19%	- Designing network security 1. Establishing private connectivity between VPC and Google APIs (Private Google Access, Private Service Connect) 2. Configuring network perimeter controls (firewall rules, hierarchical firewall policies, Cloud NGFW) 3. Configuring load balancing for security (Cloud Armor, SSL policies) 4. Using Cloud NAT to enable outbound traffic
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. Automating virtual machine and container image creation (hardening, maintenance, patch management) 4. Managing policy and drift detection at scale (CSPM, custom org policies, Security Health Analytics)

Google Cloud Certified - Professional Cloud Security Engineer Sample Questions:

Question #1

How should a customer reliably deliver Stackdriver logs from GCP to their on-premises SIEM system?

A. Configure Organizational Log Sinks to export logs to a Cloud Pub/Sub Topic, which will be sent to the SIEM via Dataflow.
B. Configure every project to export all their logs to a common BigQuery DataSet, which will be queried by the SIEM system.
C. Build a connector for the SIEM to query for all logs in real time from the GCP RESTful JSON APIs.
D. Send all logs to the SIEM system via an existing protocol such as syslog.

Reveal Solution Discussion 0

Correct Answer: A 🗳️