Available Skill Badges
The Google skill badges are a form of training that allows candidates to demonstrate their understanding of Google concepts at this level. For the Google Professional Cloud Security Engineer exam, the most popular badges include the following:
- Secure Workloads in Google Kubernetes Engine
- Build and Secure Networks in Google Cloud
- Ensure Access and Identity in Google Cloud
- Create and Manage Cloud Resources
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Data Protection Ensuring
To answer the questions related to this module, the learners need to have the skills in managing encryption at rest. This comprises their comprehension of use cases for default encryption, customer-supplied encryption keys (CSEK), and customer-managed encryption keys (CMEK). The candidates should also be capable of creating & managing encryption keys for CSEK and CMEK as well as managing application secrets. They should have an understanding of enclave computing, envelope encryption, and object lifecycle policies for Cloud Storage. Moreover, this area requires your competency in preventing data loss using DLP API. This involves the ability to configure tokenization, restrict access to DLP datasets, determine and redact PII, as well as configure the format-preserving substitution.
Reference: https://cloud.google.com/certification/cloud-security-engineer
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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. Configuring load balancing for security (Cloud Armor, SSL policies)
- 2. Establishing private connectivity between VPC and Google APIs (Private Google Access, Private Service Connect)
- 3. Using Cloud NAT to enable outbound traffic
- 4. Configuring network perimeter controls (firewall rules, hierarchical firewall policies, Cloud NGFW)
|
| Topic 2: Managing operations | 19% | - Automating infrastructure and application security
- 1. Configuring Binary Authorization for GKE or Cloud Run
- 2. Managing policy and drift detection at scale (CSPM, custom org policies, Security Health Analytics)
- 3. Automating security scanning for CVEs through CI/CD pipelines
- 4. Automating virtual machine and container image creation (hardening, maintenance, patch management)
|
| Topic 3: Configuring access | 25% | - Managing Cloud Identity
- 1. Configuring Google Cloud Directory Sync and implementing SSO with a third-party identity provider
- 2. Administering user accounts and groups programmatically
- 3. Configuring Workforce Identity Federation
- 4. Automating user lifecycle management processes
- 5. Managing super administrator accounts
- Managing service accounts
- 1. Creating, disabling, and authorizing service accounts
- 2. Securing, auditing, and mitigating usage of service account keys
- 3. Managing and creating short-lived credentials
- 4. Securing and protecting service accounts (including default service accounts)
- 5. Identifying scenarios requiring service accounts
|
| Topic 4: Ensuring data protection | 23% | - Protecting sensitive data and preventing data loss
- 1. Restricting access to Google Cloud data services (BigQuery, Cloud Storage, Cloud SQL)
- 2. Protecting and managing compute instance metadata
- 3. Securing secrets with Secret Manager
- 4. Configuring Sensitive Data Protection (discovering and redacting PII, pseudonymization)
|
| Topic 5: 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)
|