Skills Measured
A Google certified cloud security specialist should have a high-level mastery of all the essential components of cloud security, covering identity and access management, organizational policies and structures, the concepts of incident response, knowledge of the regulatory concerns, and providing data protection with Google technologies. In summary, the Google Professional Cloud Security Engineer exam will validate one’s understanding of the following themes that form the current exam syllabus:
- The management of operations and configuration of access in a cloud solution infrastructure
- Ensuring the protection of data as well as compliance
- Setting up network security
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
Exam Details
The Google Professional Cloud Security Engineer exam has a length of 2 hours. It costs $200 plus additional taxes where applicable. At the moment, this test is only available in the English language, and questions in it come in multiple-choice and multiple select formats. When scheduling the exam, you can either opt for the online proctored option and take it from a remote location or select the onsite proctored form if you have a nearby testing center. Of course, pricing remains the same regardless of the chosen option.
While Google does not highlight any mandatory requirements for taking this test, they strongly recommend that candidates should have at least 3 years of working experience, with a minimum of one year specifically dedicated to designing or managing solutions using GCP. Also, the applicants should have a good understanding of all the topics included in the syllabus.
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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. 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. Using Cloud NAT to enable outbound traffic
- 4. Configuring load balancing for security (Cloud Armor, SSL policies)
|
| Topic 2: Configuring access | 25% | - Managing service accounts
- 1. Creating, disabling, and authorizing service accounts
- 2. Managing and creating short-lived credentials
- 3. Identifying scenarios requiring service accounts
- 4. Securing and protecting service accounts (including default service accounts)
- 5. Securing, auditing, and mitigating usage of service account keys
- Managing Cloud Identity
- 1. Configuring Google Cloud Directory Sync and implementing SSO with a third-party identity provider
- 2. Managing super administrator accounts
- 3. Administering user accounts and groups programmatically
- 4. Configuring Workforce Identity Federation
- 5. Automating user lifecycle management processes
|
| Topic 3: Managing operations | 19% | - Automating infrastructure and application security
- 1. Automating virtual machine and container image creation (hardening, maintenance, patch management)
- 2. Automating security scanning for CVEs through CI/CD pipelines
- 3. Configuring Binary Authorization for GKE or Cloud Run
- 4. Managing policy and drift detection at scale (CSPM, custom org policies, Security Health Analytics)
|
| Topic 4: Ensuring data protection | 23% | - Protecting sensitive data and preventing data loss
- 1. Protecting and managing compute instance metadata
- 2. Restricting access to Google Cloud data services (BigQuery, Cloud Storage, Cloud SQL)
- 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. 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
|