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

Section	Weight	Objectives
Topic 1: Ensuring data protection	23%	- Protecting sensitive data and preventing data loss 1. Securing secrets with Secret Manager 2. Configuring Sensitive Data Protection (discovering and redacting PII, pseudonymization) 3. Protecting and managing compute instance metadata 4. Restricting access to Google Cloud data services (BigQuery, Cloud Storage, Cloud SQL)
Topic 2: 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. Configuring Binary Authorization for GKE or Cloud Run 4. Automating security scanning for CVEs through CI/CD pipelines
Topic 3: 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. Configuring network perimeter controls (firewall rules, hierarchical firewall policies, Cloud NGFW) 4. Using Cloud NAT to enable outbound traffic
Topic 4: Configuring access	25%	- Managing Cloud Identity 1. Configuring Google Cloud Directory Sync and implementing SSO with a third-party identity provider 2. Administering user accounts and groups programmatically 3. Automating user lifecycle management processes 4. Configuring Workforce Identity Federation 5. Managing super administrator accounts - Managing service accounts 1. Managing and creating short-lived credentials 2. Securing and protecting service accounts (including default service accounts) 3. Identifying scenarios requiring service accounts 4. Securing, auditing, and mitigating usage of service account keys 5. Creating, disabling, and authorizing service accounts
Topic 5: Supporting compliance requirements	14%	- 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)

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Google Cloud Certified - Professional Cloud Security Engineer Exam Sample Questions (Q12-Q17):

NEW QUESTION # 12
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

A. Provision a Cloud NAT instance in the same VPC and region as the Compute Engine VM
B. Update the VPC routes to allow traffic to and from the internet.
C. Provision an HTTP load balancer with the VM in an unmanaged instance group to allow inbound connections from the internet to your VM.
D. Provision a Cloud VPN tunnel in the same VPC and region as the Compute Engine VM.
E. Enable Private Google Access on the subnet that the Compute Engine VM is deployed within.

Answer: A,E

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.
References:
* Cloud NAT Documentation
* Private Google Access

NEW QUESTION # 13
A customer terminates an engineer and needs to make sure the engineer's Google account is automatically deprovisioned.
What should the customer do?

A. Configure Cloud Directory Sync with their directory service to remove their IAM permissions in Cloud Identity.
B. Configure Cloud Directory Sync with their directory service to provision and deprovision users from Cloud Identity.
C. Use the Cloud SDK with their directory service to provision and deprovision users from Cloud Identity.
D. Use the Cloud SDK with their directory service to remove their IAM permissions in Cloud Identity.

Answer: B

Explanation:
https://cloud.google.com/identity/solutions/automate-user-provisioning#cloud_identity_automated_provisioning
"Cloud Identity has a catalog of automated provisioning connectors, which act as a bridge between Cloud Identity and third-party cloud apps."

NEW QUESTION # 14
Your organization has implemented synchronization and SAML federation between Cloud Identity and Microsoft Active Directory. You want to reduce the risk of Google Cloud user accounts being compromised.
What should you do?

A. Create an Active Directory domain password policy with strong password settings, and configure post-SSO (single sign-on) 2-Step Verification with verification codes via text or phone call in the Google Admin console.
B. Create a Cloud Identity password policy with strong password settings, and configure 2-Step Verification with verification codes via text or phone call in the Google Admin console.
C. Create a Cloud Identity password policy with strong password settings, and configure 2-Step Verification with security keys in the Google Admin console.
D. Create an Active Directory domain password policy with strong password settings, and configure post-SSO (single sign-on) 2-Step Verification with security keys in the Google Admin console.

Answer: D

NEW QUESTION # 15
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?

A. Create a new service account with the same name as the deleted service account.
B. Update the permissions of another existing service account and supply those credentials to the applications.
C. Temporarily disable authentication on the Cloud Storage bucket.
D. Use the undelete command to recover the deleted service account.

Answer: D

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

NEW QUESTION # 16
You have defined subnets in a VPC within Google Cloud Platform. You need multiple projects to create Compute Engine instances with IP addresses from these subnets. What should you do?

A. Configure Cloud VPN between the projects.
B. Use Shared VPC to share the subnets with the other projects.
C. Set up VPC peering between all related projects.
D. Change the VPC subnets to enable private Google access.

Answer: B

Explanation:
A is not correct as Cloud VPN between projects does not provide you the functionality to share a subnet to host resources on.
B is not correct because peering two VPCs does allow traffic between the two shared networks, but it's only bi-directional. Peered VPC networks remain administratively separate.
C is not correct because private Google access allows you to access APIs from a private IP, but it does not have any impact on creating Compute instances on a specific subnet.
D is correct because s Shared VPC allows you to share a VPC into multiple projects, keep administrative oversight in the host project, while restricting the other projects to only create VMs on IPs in the shared VPC.
https://cloud.google.com/vpc/docs/shared-vpc
https://cloud.google.com/vpc/docs/vpc-peering

NEW QUESTION # 17
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