Professional-Cloud-Security-Engineer Exam Material Exam Pass Certify | Professional-Cloud-Security-Engineer: Google Cloud Certified - Professional Cloud Security Engineer Exam

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

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

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Google Cloud Certified - Professional Cloud Security Engineer Exam Sample Questions (Q291-Q296):

NEW QUESTION # 291
Your company requires the security and network engineering teams to identify all network anomalies within and across VPCs, internal traffic from VMs to VMs, traffic between end locations on the internet and VMs, and traffic between VMs to Google Cloud services in production. Which method should you use?

Answer: C

Explanation:
VPC Flow Logs samples each VM's TCP, UDP, ICMP, ESP, and GRE flows. Both inbound and outbound flows are sampled. These flows can be between the VM and another VM, a host in your on-premises data center, a Google service, or a host on the internet.
https://cloud.google.com/vpc/docs/flow-logs


NEW QUESTION # 292
A customer wants to move their sensitive workloads to a Compute Engine-based cluster using Managed Instance Groups (MIGs). The jobs are bursty and must be completed quickly. They have a requirement to be able to manage and rotate the encryption keys.
Which boot disk encryption solution should you use on the cluster to meet this customer's requirements?

Answer: D

Explanation:
Customer Managed Encryption keys using KMS lets users control the key management and rotation policies and Compute Engine Disks support CMEKs.
https://cloud.google.com/kubernetes-engine/docs/how-to/dynamic-provisioning-cmek


NEW QUESTION # 293
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: A,C


NEW QUESTION # 294
The CISO of your highly regulated organization has mandated that all AI applications running in production must be based on Google first-party models. Your security team has now implemented the Model Garden ' s organization policy meant to centrally control access and user actions on these approved models at the production folder level. However, it appears that someone has overwritten the policy. This has allowed developers to access third-party models on a particular production project. You need to resolve the issue with a solution that prevents a repeat occurrence. What should you do?

Answer: B

Explanation:
In the Google Cloud resource hierarchy, Organization Policy is a powerful tool for governance, but its effectiveness depends on strict control over who can modify it. If a policy set at the folder level was " overwritten, " it means a principal with the Organization Policy Administrator role (roles/orgpolicy.
policyAdmin) at the project level (or folder level) changed the inheritance or defined a more permissive policy.1 According to Google Cloud Documentation (Organization Policy Service - IAM Roles):
" To manage organization policies, a principal must have the Organization Policy Administrator role. This role should be granted only at the Organization level to a limited set of trusted security or compliance administrators to prevent project owners from overriding security guardrails. " Why Option A is the best fix:
By removing the role from everyone except the central security team at the Organization level, you ensure that no one else has the technical permission to " Manage Policy " or click " Override " at any child node (folder or project).
B is insufficient because if a user has the role at the organization level, they can still apply overrides at the folder or project level.
C and D (Security Postures) are detective controls. While the secure_ai_extended template helps monitor drift, it does not prevent the occurrence. The question asks for a solution that " prevents a repeat occurrence, " which requires a preventative IAM change.
Reference: * Google Cloud Documentation: " Creating and managing organization policies - IAM roles " (https://cloud.google.com/resource-manager/docs/organization-policy/creating-managing-policies#iam).
Google Cloud Security Engineer Study Guide: Chapter 2 - Resource Management and Access Control.


NEW QUESTION # 295
You are backing up application logs to a shared Cloud Storage bucket that is accessible to both the administrator and analysts. Analysts should not have access to logs that contain any personally identifiable information (PII). Log files containing PII should be stored in another bucket that is only accessible to the administrator. What should you do?

Answer: B


NEW QUESTION # 296
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