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Google Professional-Cloud-Security-Engineer Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|
| Configuring access | 25% | - Managing Cloud Identity
- 1. Administering user accounts and groups programmatically
- 2. Configuring Google Cloud Directory Sync and implementing SSO with a third-party identity provider
- 3. Configuring Workforce Identity Federation
- 4. Managing super administrator accounts
- 5. Automating user lifecycle management processes
- Managing service accounts
- 1. Securing and protecting service accounts (including default service accounts)
- 2. Managing and creating short-lived credentials
- 3. Securing, auditing, and mitigating usage of service account keys
- 4. Creating, disabling, and authorizing service accounts
- 5. Identifying scenarios requiring service accounts
|
| 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)
|
| 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. Configuring Sensitive Data Protection (discovering and redacting PII, pseudonymization)
- 4. Securing secrets with Secret Manager
|
| Configuring network security | 19% | - Designing network security
- 1. Configuring network perimeter controls (firewall rules, hierarchical firewall policies, Cloud NGFW)
- 2. Using Cloud NAT to enable outbound traffic
- 3. Configuring load balancing for security (Cloud Armor, SSL policies)
- 4. Establishing private connectivity between VPC and Google APIs (Private Google Access, Private Service Connect)
|
| Managing operations | 19% | - Automating infrastructure and application security
- 1. Managing policy and drift detection at scale (CSPM, custom org policies, Security Health Analytics)
- 2. Configuring Binary Authorization for GKE or Cloud Run
- 3. Automating security scanning for CVEs through CI/CD pipelines
- 4. Automating virtual machine and container image creation (hardening, maintenance, patch management)
|
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Google Cloud Certified - Professional Cloud Security Engineer Exam Professional-Cloud-Security-Engineer Prüfungsfragen mit Lösungen (Q194-Q199):
194. Frage
Your financial services company has an audit requirement under a strict regulatory framework that requires comprehensive, immutable audit trails for all administrative and data access activity that ensures that data is kept for seven years. Your current logging is fragmented across individual projects. You need to establish a centralized, tamper-proof, long-term logging solution accessible for audits. What should you do?
- A. Individually configure Cloud Audit Logs for all Google Cloud services in each project. Store the logs in regional Cloud Logging buckets with 30-day retention policies.
- B. Establish organization-level Cloud Logging sinks to export Cloud Audit Logs to a dedicated Cloud Storage bucket with object retention lock.
- C. Implement Pub/Sub to stream all audit logs from each project in real-time to an external Security Information and Event Management (SIEM) for long-term analysis.
- D. Enable Security Command Center across the organization to gain centralized visibility into threats and manage compliance posture for all Google Cloud projects.
Antwort: B
Begründung:
The core requirements are: centralized, tamper-proof, long-term (seven years) immutable audit trails for administrative and data access activity.
Centralization: The current logging is fragmented. To centralize, you need to collect logs from across the organization. Cloud Logging sinks configured at the organization level are designed for this purpose. They allow you to route logs from all projects within an organization to a single destination.Extract Reference:
"Aggregated exports allow you to export logs from multiple Google Cloud projects, folders, or your entire organization. An aggregated export can include all logs from all included resources, or you can use queries to include only specific logs." (Google Cloud documentation: https://cloud.google.com/logging/docs/export
/aggregated_exports)
Long-Term Storage (Seven Years): Cloud Logging buckets have default retention periods (e.g., 30 days for Data Access logs, 400 days for Admin Activity logs) which are not sufficient for a seven-year requirement.
Cloud Storage is ideal for long-term archival.Extract Reference: "Cloud Storage is a highly scalable and durable object storage service suitable for archiving large volumes of data for extended periods." (Google Cloud documentation, general overview of Cloud Storage features) Tamper-Proof / Immutability: This is a critical requirement for audit trails in financial services under strict regulatory frameworks. Cloud Storage's "object retention lock" feature provides immutability. Once an object retention lock is set on a bucket, objects within that bucket cannot be deleted or overwritten for a specified duration, ensuring data integrity for compliance purposes.Extract Reference: "Object Retention Lock helps you meet compliance requirements by preventing data from being deleted or modified for a fixed amount of time or indefinitely. This feature satisfies SEC Rule 17a-4(f), FINRA Rule 4511(c), and CFTC Regulation
1.31(c)-(d) requirements." (Google Cloud documentation: https://cloud.google.com/storage/docs/bucket-lock) Let's evaluate the other options:
A). Implement Pub/Sub to stream all audit logs from each project in real-time to an external SIEM: While Pub
/Sub can centralize real-time streaming to a SIEM, the solution described does not inherently guarantee tamper-proof storage or 7-year immutability within Google Cloud. The SIEM itself would need to provide those capabilities, which is outside the scope of Google Cloud's direct offering for this specific requirement.
C). Enable Security Command Center across the organization: Security Command Center (SCC) provides centralized visibility into security posture, threats, and compliance. However, SCC is a security management and monitoring platform; it does not serve as the primary long-term, immutable storage for raw audit logs. It consumes information from logs but doesn't store them in a way that meets the 7-year immutable archival requirement.
D). Individually configure Cloud Audit Logs for all Google Cloud services in each project. Store the logs in regional Cloud Logging buckets with 30-day retention policies: This fails on multiple counts: it's not centralized (requires individual configuration), and the 30-day retention in Cloud Logging buckets is far short of the seven-year requirement. It also doesn't explicitly guarantee tamper-proof storage beyond the default logging immutability.
Therefore, option B directly addresses all aspects of the requirement: centralization via organization-level sinks, long-term storage with Cloud Storage, and immutability/tamper-proofing with object retention lock.
195. Frage
Your company's new CEO recently sold two of the company's divisions. Your Director asks you to help migrate the Google Cloud projects associated with those divisions to a new organization node. Which preparation steps are necessary before this migration occurs? (Choose two.)
- A. Remove all project-level custom Identity and Access Management (1AM) roles.
- B. Identify inherited Identity and Access Management (1AM) roles on projects to be migrated.
- C. Create a new folder for all projects to be migrated.
- D. Remove the specific migration projects from any VPC Service Controls perimeters and bridges.
- E. Disallow inheritance of organization policies.
Antwort: D,E
196. Frage
Your organization recently activated the Security Command Center (SCC) standard tier. There are a few Cloud Storage buckets that were accidentally made accessible to the public. You need to investigate the impact of the incident and remediate it.
What should you do?
- A. 1. Change bucket permissions to limit access.
2. Query the data access audit logs for any unauthorized access to the buckets.
3. After the misconfiguration is corrected, mute the finding in the Security Command Center. - B. 1. Remove the Identity and Access Management (IAM) granting access to all Users from the buckets.
2. Apply the organization policy storage.uniformBucketLevelAccess to prevent regressions.
3. Query the data access logs to report on unauthorized access. - C. 1. Change permissions to limit access for authorized users.
2. Enforce a VPC Service Controls perimeter around all the production projects to immediately stop any unauthorized access.
3. Review the administrator activity audit logs to report on any unauthorized access. - D. 1. Change the bucket permissions to limit access.
2. Query the bucket's usage logs to report on unauthorized access to the data.
3. Enforce the organization policy storage.publicAccessPrevention to avoid regressions.
Antwort: D
Begründung:
https://cloud.google.com/storage/docs/access-logs#should-you-use
https://cloud.google.com/storage/docs/org-policy-constraints#public-access-prevention
197. Frage
A company migrated their entire data/center to Google Cloud Platform. It is running thousands of instances across multiple projects managed by different departments. You want to have a historical record of what was running in Google Cloud Platform at any point in time.
What should you do?
- A. Use Security Command Center to view all assets across the organization.
- B. Use Stackdriver to create a dashboard across all projects.
- C. Use Resource Manager on the organization level.
- D. Use Forseti Security to automate inventory snapshots.
Antwort: D
Begründung:
Explanation
Only Forseti security can have both 'past' and 'present' (i.e. historical) records of the resources.https://forsetisecurity.org/about/
198. Frage
A company is using Google Kubernetes Engine (GKE) with container images of a mission-critical application The company wants to scan the images for known security issues and securely share the report with the security team without exposing them outside Google Cloud.
What should you do?
- A. * 1. Enable vulnerability scanning in the Artifact Registry settings.
* 2. Use Cloud Build to build the images
* 3. Push the images to the Artifact Registry for automatic scanning.
* 4. View the reports in the Artifact Registry. - B. * 1. Use an open source tool in Cloud Build to scan the images.
* 2. Upload reports to publicly accessible buckets in Cloud Storage by using gsutil
* 3. Share the scan report link with your security department. - C. 1. Enable Container Threat Detection in the Security Command Center Premium tier.
* 2. Upgrade all clusters that are not on a supported version of GKE to the latest possible GKE version.
* 3. View and share the results from the Security Command Center - D. * 1. Get a GitHub subscription.
* 2. Build the images in Cloud Build and store them in GitHub for automatic scanning
* 3. Download the report from GitHub and share with the Security Team
Antwort: A
Begründung:
Explanation
"The service evaluates all changes and remote access attempts to detect runtime attacks in near-real time." :
https://cloud.google.com/security-command-center/docs/concepts-container-threat-detection-overview This has nothing to do with KNOWN security Vulns in images
199. Frage
......
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