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Manage Operations in a Cloud Solution Environment
- Security Events Monitoring: For this subject area, the students are required to have competence in the exportation of logs to different external security systems as well as logging, testing, alerting, and monitoring for security incidents. It also will test their skills in using the manual and automated analysis of the access logs and their understanding of the features of Forseti.
- Applications of Building and Deployment: This subsection focuses on the skills related to static code analysis, application logs in near real-time monitoring, and automation of security scanning through the CI/CD pipeline;
- Infrastructure of Building and Deployment: The learners have to demonstrate their understanding of the data loss and backup strategy, standby models, and VM image creation, as well as maintenance & hardening. This section also requires having competence in the creation and automation of incident response plans, automation of security scanning for CVEs (Common Vulnerabilities & Exposures) through the CI/CD pipeline. This part evaluates the candidates’ knowledge of container image creation, patch management, hardening, and maintenance;
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What is the Passing Score, Duration & Questions for the GoogleProfessional Cloud Security Engineer Exam
- Language: English
- Format: Multiple choices, multiple answers
- Passing score: N/A
- Number of Questions: 50-60
- Length of Examination: 120 minutes
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.
Reference: https://cloud.google.com/certification/cloud-security-engineer
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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.
Google Professional-Cloud-Security-Engineer Exam Syllabus Topics:
| Section | Weight | Objectives |
| Topic 1: Supporting compliance requirements | 14% | - Determining security requirements
- 1. Identifying security requirements (e.g., regulatory, compliance)
- 2. Implementing security controls for Vertex AI and AI/ML workloads
- 3. Configuring audit logging and monitoring (Cloud Audit Logs, Access Transparency)
|
| Topic 2: 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)
|
| Topic 3: Configuring access | 25% | - Managing Cloud Identity
- 1. Administering user accounts and groups programmatically
- 2. Managing super administrator accounts
- 3. Automating user lifecycle management processes
- 4. Configuring Workforce Identity Federation
- 5. Configuring Google Cloud Directory Sync and implementing SSO with a third-party identity provider
- Managing service accounts
- 1. Identifying scenarios requiring service accounts
- 2. Managing and creating short-lived credentials
- 3. Securing, auditing, and mitigating usage of service account keys
- 4. Securing and protecting service accounts (including default service accounts)
- 5. Creating, disabling, and authorizing 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. Securing secrets with Secret Manager
- 3. Protecting and managing compute instance metadata
- 4. Configuring Sensitive Data Protection (discovering and redacting PII, pseudonymization)
|
| Topic 5: Managing operations | 19% | - Automating infrastructure and application security
- 1. Automating virtual machine and container image creation (hardening, maintenance, patch management)
- 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. Configuring Binary Authorization for GKE or Cloud Run
|