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

SectionWeightObjectives
Managing operations19%- Automating infrastructure and application security
  • 1. Automating security scanning for CVEs through CI/CD pipelines
  • 2. Configuring Binary Authorization for GKE or Cloud Run
  • 3. Managing policy and drift detection at scale (CSPM, custom org policies, Security Health Analytics)
  • 4. Automating virtual machine and container image creation (hardening, maintenance, patch management)
Configuring network security19%- Designing network security
  • 1. Configuring load balancing for security (Cloud Armor, SSL policies)
  • 2. Establishing private connectivity between VPC and Google APIs (Private Google Access, Private Service Connect)
  • 3. Configuring network perimeter controls (firewall rules, hierarchical firewall policies, Cloud NGFW)
  • 4. Using Cloud NAT to enable outbound traffic
Ensuring data protection23%- Protecting sensitive data and preventing data loss
  • 1. Securing secrets with Secret Manager
  • 2. Configuring Sensitive Data Protection (discovering and redacting PII, pseudonymization)
  • 3. Restricting access to Google Cloud data services (BigQuery, Cloud Storage, Cloud SQL)
  • 4. Protecting and managing compute instance metadata
Configuring access25%- Managing Cloud Identity
  • 1. Configuring Workforce Identity Federation
  • 2. Automating user lifecycle management processes
  • 3. Managing super administrator accounts
  • 4. Configuring Google Cloud Directory Sync and implementing SSO with a third-party identity provider
  • 5. Administering user accounts and groups programmatically
- Managing service accounts
  • 1. Securing, auditing, and mitigating usage of service account keys
  • 2. Managing and creating short-lived credentials
  • 3. Creating, disabling, and authorizing service accounts
  • 4. Securing and protecting service accounts (including default service accounts)
  • 5. Identifying scenarios requiring service accounts
Supporting compliance requirements14%- Determining security requirements
  • 1. Configuring audit logging and monitoring (Cloud Audit Logs, Access Transparency)
  • 2. Identifying security requirements (e.g., regulatory, compliance)
  • 3. Implementing security controls for Vertex AI and AI/ML workloads

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Google Cloud Certified - Professional Cloud Security Engineer Exam Sample Questions (Q272-Q277):

NEW QUESTION # 272
An organization's security and risk management teams are concerned about where their responsibility lies for certain production workloads they are running in Google Cloud Platform (GCP), and where Google's responsibility lies. They are mostly running workloads using Google Cloud's Platform-as-a-Service (PaaS) offerings, including App Engine primarily.
Which one of these areas in the technology stack would they need to focus on as their primary responsibility when using App Engine?

Answer: D


NEW QUESTION # 273
Your team sets up a Shared VPC Network where project co-vpc-prod is the host project. Your team has configured the firewall rules, subnets, and VPN gateway on the host project. They need to enable Engineering Group A to attach a Compute Engine instance to only the 10.1.1.0/24 subnet.
What should your team grant to Engineering Group A to meet this requirement?

Answer: B

Explanation:
To enable Engineering Group A to attach a Compute Engine instance to a specific subnet (10.1.1.0/24) in a Shared VPC, you should grant the Compute Network User Role at the subnet level. This role allows users to use the subnetwork for their instances without giving them broader permissions at the project level.
Step-by-Step:
Identify the Subnet: Locate the subnet (10.1.1.0/24) in the host project.
Grant Role:
Navigate to the GCP Console > VPC network > VPC networks.
Select the Shared VPC host project and locate the specific subnet.
Click on "Edit" and go to the "IAM & Admin" section.
Assign the "Compute Network User" role to Engineering Group A at the subnet level.
Verification: Ensure that Engineering Group A can now attach Compute Engine instances to the specified subnet.
Reference:
Shared VPC Overview
Compute Network User Role


NEW QUESTION # 274
Your organization recently deployed a new application on Google Kubernetes Engine. You need to deploy a solution to protect the application. The solution has the following requirements:
Scans must run at least once per week
Must be able to detect cross-site scripting vulnerabilities
Must be able to authenticate using Google accounts
Which solution should you use?

Answer: C

Explanation:
Web Security Scanner is designed to scan your web applications deployed on Google Cloud for common vulnerabilities, including cross-site scripting (XSS). It can authenticate using Google accounts and can be scheduled to run scans regularly.
Steps:
* Enable Web Security Scanner: In the Google Cloud Console, enable Web Security Scanner for your project.
* Configure Scan: Set up the scan configuration, specifying the target URLs, authentication details (Google accounts), and scan frequency (at least once per week).
* Run and Monitor Scans: Run the scans and monitor the results for vulnerabilities, addressing any issues found.
References:
* Web Security Scanner documentation


NEW QUESTION # 275
Your organization has had a few recent DDoS attacks. You need to authenticate responses to domain name lookups.
Which Google Cloud service should you use?

Answer: D


NEW QUESTION # 276
Your DevOps team uses Packer to build Compute Engine images by using this process:
1 Create an ephemeral Compute Engine VM.
2 Copy a binary from a Cloud Storage bucket to the VM's file system.
3 Update the VM's package manager.
4 Install external packages from the internet onto the VM.
Your security team just enabled the organizational policy. consrraints/compure.vnExtemallpAccess. to restrict the usage of public IP Addresses on VMs. In response your DevOps team updated their scripts to remove public IP addresses on the Compute Engine VMs however the build pipeline is failing due to connectivity issues.
What should you do?
Choose 2 answers

Answer: A,D

Explanation:
Provision a Cloud NAT Instance:
Cloud NAT (Network Address Translation) allows instances without external IP addresses to access the internet securely.
In the Google Cloud Console, navigate to the VPC Network section and select Cloud NAT.
Create a new Cloud NAT configuration, specifying the VPC and region where your Compute Engine VMs are deployed.
Configure Cloud NAT:
Ensure that the Cloud NAT instance is configured to provide outbound internet connectivity for the VMs in your specified subnet.
This setup allows the VMs to access the internet for package updates and external installations without requiring public IP addresses.
Enable Private Google Access:
Private Google Access allows VMs in a subnet to reach Google APIs and services using internal IP addresses.
In the Google Cloud Console, navigate to the VPC Network section and select Subnets.
Edit the subnet used by your Compute Engine VMs and enable Private Google Access.
Update DevOps Scripts:
Ensure that your DevOps scripts are updated to work with the new network configuration.
Test the build process to confirm that the VMs can access necessary resources and complete the build pipeline successfully.
Reference:
Cloud NAT Documentation
Private Google Access


NEW QUESTION # 277
......

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