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

SectionWeightObjectives
Configuring access25%- Managing service accounts
  • 1. Securing, auditing, and mitigating usage of service account keys
  • 2. Creating, disabling, and authorizing service accounts
  • 3. Securing and protecting service accounts (including default service accounts)
  • 4. Identifying scenarios requiring service accounts
  • 5. Managing and creating short-lived credentials
- Managing Cloud Identity
  • 1. Automating user lifecycle management processes
  • 2. Managing super administrator accounts
  • 3. Administering user accounts and groups programmatically
  • 4. Configuring Workforce Identity Federation
  • 5. Configuring Google Cloud Directory Sync and implementing SSO with a third-party identity provider
Ensuring data protection23%- 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. Configuring Sensitive Data Protection (discovering and redacting PII, pseudonymization)
  • 4. Protecting and managing compute instance metadata
Supporting compliance requirements14%- 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)
Managing operations19%- Automating infrastructure and application security
  • 1. Configuring Binary Authorization for GKE or Cloud Run
  • 2. Automating security scanning for CVEs through CI/CD pipelines
  • 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)
Configuring network security19%- Designing network security
  • 1. Establishing private connectivity between VPC and Google APIs (Private Google Access, Private Service Connect)
  • 2. Using Cloud NAT to enable outbound traffic
  • 3. Configuring load balancing for security (Cloud Armor, SSL policies)
  • 4. Configuring network perimeter controls (firewall rules, hierarchical firewall policies, Cloud NGFW)

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Google Cloud Certified - Professional Cloud Security Engineer Exam Sample Questions (Q269-Q274):

NEW QUESTION # 269
You are responsible for managing your company's identities in Google Cloud. Your company enforces 2-Step Verification (2SV) for all users. You need to reset a user's access, but the user lost their second factor for 2SV. You want to minimize risk. What should you do?

Answer: B


NEW QUESTION # 270
Your team uses a service account to authenticate data transfers from a given Compute Engine virtual machine instance of to a specified Cloud Storage bucket. An engineer accidentally deletes the service account, which breaks application functionality. You want to recover the application as quickly as possible without compromising security.
What should you do?

Answer: C

Explanation:
https://cloud.google.com/iam/docs/creating-managing-service-
accounts#undeleting_a_service_account


NEW QUESTION # 271
You need to enable VPC Service Controls and allow changes to perimeters in existing environments without preventing access to resources. Which VPC Service Controls mode should you use?

Answer: C

Explanation:
Reference: https://cloud.google.com/vpc-service-controls/docs/service-perimeters In dry run mode, requests that violate the perimeter policy are not denied, only logged. Dry run mode is used to test perimeter configuration and to monitor usage of services without preventing access to resources.
https://cloud.google.com/vpc-service-controls/docs/dry-run-mode


NEW QUESTION # 272
You have been tasked with configuring Security Command Center for your organization's Google Cloud environment. Your security team needs to receive alerts of potential crypto mining in the organization's compute environment and alerts for common Google Cloud misconfigurations that impact security. Which Security Command Center features should you use to configure these alerts? (Choose two.)

Answer: B,D

Explanation:
Security Command Center (SCC) in Google Cloud provides several features to help organizations detect and respond to security threats and misconfigurations.
* Event Threat Detection: This feature continuously monitors and analyzes system logs to detect potential threats such as crypto mining. It uses machine learning and threat intelligence to identify suspicious activities and generate alerts.
* Security Health Analytics: This feature helps identify common misconfigurations and compliance violations that could impact security. It provides visibility into security posture and helps remediate issues related to misconfigurations in your Google Cloud environment.
By using both Event Threat Detection and Security Health Analytics, you can effectively monitor for crypto mining activities and detect common misconfigurations that could compromise security.
References
* Security Command Center Documentation
* Event Threat Detection
* Security Health Analytics


NEW QUESTION # 273
You are consulting with a client that requires end-to-end encryption of application data (including data in transit, data in use, and data at rest) within Google Cloud. Which options should you utilize to accomplish this? (Choose two.)

Answer: A,E

Explanation:
Explanation
Google Cloud customers with additional requirements for encryption of data over WAN can choose to implement further protections for data as it moves from a user to an application, or virtual machine to virtual machine. These protections include IPSec tunnels, Gmail S/MIME, managed SSL certificates, and Istio.
https://cloud.google.com/docs/security/encryption-in-transit


NEW QUESTION # 274
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