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

Section	Weight	Objectives
Topic 1: Configuring access	25%	- 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 - Managing Cloud Identity 1. Managing super administrator accounts 2. Administering user accounts and groups programmatically 3. Configuring Google Cloud Directory Sync and implementing SSO with a third-party identity provider 4. Configuring Workforce Identity Federation 5. Automating user lifecycle management processes
Topic 2: Managing operations	19%	- Automating infrastructure and application security 1. Automating virtual machine and container image creation (hardening, maintenance, patch management) 2. Automating security scanning for CVEs through CI/CD pipelines 3. Configuring Binary Authorization for GKE or Cloud Run 4. Managing policy and drift detection at scale (CSPM, custom org policies, Security Health Analytics)
Topic 3: Supporting compliance requirements	14%	- Determining security requirements 1. Identifying security requirements (e.g., regulatory, compliance) 2. Configuring audit logging and monitoring (Cloud Audit Logs, Access Transparency) 3. Implementing security controls for Vertex AI and AI/ML workloads
Topic 4: Configuring network security	19%	- Designing network security 1. Configuring network perimeter controls (firewall rules, hierarchical firewall policies, Cloud NGFW) 2. Configuring load balancing for security (Cloud Armor, SSL policies) 3. Establishing private connectivity between VPC and Google APIs (Private Google Access, Private Service Connect) 4. Using Cloud NAT to enable outbound traffic
Topic 5: Ensuring data protection	23%	- Protecting sensitive data and preventing data loss 1. Configuring Sensitive Data Protection (discovering and redacting PII, pseudonymization) 2. Protecting and managing compute instance metadata 3. Restricting access to Google Cloud data services (BigQuery, Cloud Storage, Cloud SQL) 4. Securing secrets with Secret Manager

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Google Cloud Certified - Professional Cloud Security Engineer Exam Professional-Cloud-Security-Engineer Prüfungsfragen mit Lösungen (Q195-Q200):

195. Frage
Your organization has established a highly sensitive project within a VPC Service Controls perimeter. You need to ensure that only users meeting specific contextual requirements-such as having a company-managed device, a specific location, and a valid user identity-can access resources within this perimeter. You want to evaluate the impact of this change without blocking legitimate access. What should you do?

A. Establish a Context-Aware Access policy that specifies the required contextual attributes, and associate the policy with the VPC Service Controls perimeter in dry run mode.
B. Use the VPC Service Control Violation dashboard to identify the impact of details about access denials by service perimeters.
C. Configure a VPC Service Controls perimeter in dry run mode, and enforce strict network segmentation using firewall rules. Use multi-factor authentication (MFA) for user verification.
D. Use Cloud Audit Logs to monitor user access to the project resources.11 Use post-incident analysis to identify unauthorized access attempts.

Antwort: A

Begründung:
When implementing new security perimeters or access levels, Google Cloud recommends using Dry Run Mode in VPC Service Controls.12 This allows you to see what would have been blocked without actually disrupting traffic.
According to Google Cloud Documentation (Dry Run Mode for Service Perimeters):
"Dry run mode allows you to test the impact of a service perimeter before enforcing it. You can associate an Access Level (which contains Context-Aware attributes like device status and location) with the dry run configuration. Any request that violates the perimeter or the access level will be logged in Cloud Audit Logs as a 'dry run violation,' but the request will still be allowed to proceed."13 Evaluation Process:
* Define the Access Level in Access Context Manager (Managed Device + Location).
* Configure the VPC-SC Perimeter to include the project.
* Apply the Access Level to the Dry Run section of the perimeter.
* Monitor the VPC Service Controls Violation Dashboard or Audit Logs for dry run errors to identify legitimate users who would be blocked under the new policy.
Reference:
Google Cloud Documentation: "Using dry run mode" (https://cloud.google.com/vpc-service-controls/docs/dry- run-mode).

196. Frage
A patch for a vulnerability has been released, and a DevOps team needs to update their running containers in Google Kubernetes Engine (GKE).
How should the DevOps team accomplish this?

A. Use Puppet or Chef to push out the patch to the running container.
B. Verify that auto upgrade is enabled; if so, Google will upgrade the nodes in a GKE cluster.
C. Update the application code or apply a patch, build a new image, and redeploy it.
D. Configure containers to automatically upgrade when the base image is available in Container Registry.

Antwort: C

Begründung:
When a vulnerability patch is released for a running container in Google Kubernetes Engine (GKE), the recommended approach is to update the application code or apply the patch directly to the codebase. Then, a new container image should be built incorporating these changes. After building the new image, it should be deployed to replace the running containers. This method ensures that the containers run the updated, secure code.
Steps:
Update Application Code: Modify the application code or dependencies to incorporate the vulnerability patch.
Build New Image: Use a tool like Docker to build a new container image with the updated code.
Push New Image: Push the new container image to the Container Registry.
Update Deployments: Update the Kubernetes deployment to use the new image. This can be done by modifying the image tag in the deployment YAML file.
Redeploy Containers: Apply the updated deployment configuration using kubectl apply -f <deployment-file>.yaml, which will redeploy the containers with the new image.
Reference:
Google Cloud: Container security
Kubernetes: Updating an application

197. Frage
You must ensure that the keys used for at-rest encryption of your data are compliant with your organization's security controls. One security control mandates that keys get rotated every 90 days. You must implement an effective detection strategy to validate if keys are rotated as required. What should you do?

A. Define a metric that checks for timely key updates by using Cloud Logging. If a key is not rotated after 90 days, send an alert message through your incident notification channel.
B. Identify keys that have not been rotated by using Security Health Analytics. If a key is not rotated after 90 days, a finding in Security Command Center is raised.
C. Assess the keys in the Cloud Key Management Service by implementing code in Cloud Run. If a key is not rotated after 90 days, raise a finding in Security Command Center.
D. Analyze the crypto key versions of the keys by using data from Cloud Asset Inventory. If an active key is older than 90 days, send an alert message through your incident notification channel.

Antwort: B

Begründung:
https://cloud.google.com/security-command-center/docs/how-to-remediate-security-health- analytics-findings#kms_key_not_rotated

198. Frage
Your company has been creating users manually in Cloud Identity to provide access to Google Cloud resources. Due to continued growth of the environment, you want to authorize the Google Cloud Directory Sync (GCDS) instance and integrate it with your on-premises LDAP server to onboard hundreds of users.
You are required to:
Replicate user and group lifecycle changes from the on-premises LDAP server in Cloud Identity.
Disable any manually created users in Cloud Identity.
You have already configured the LDAP search attributes to include the users and security groups in scope for Google Cloud. What should you do next to complete this solution?

A. 1. Configure the LDAP search attributes to exclude manually created Cloud identity users not found in LDAP.2. Run GCDS after user and group lifecycle changes.
B. 1. Configure the option to suspend domain users not found in LDAP.2. Set up a recurring GCDS task.
C. 1. Configure the LDAP search attributes to exclude manually created Cloud Identity users not found in LDAP.2. Set up a recurring GCDS task.
D. 1. Configure the option to delete domain users not found in LDAP.2. Run GCDS after user and group lifecycle changes.

Antwort: B

199. Frage
Your organization has an application hosted in Cloud Run. You must control access to the application by using Cloud Identity-Aware Proxy (IAP) with these requirements:
Only users from the AppDev group may have access.
Access must be restricted to internal network IP addresses.
What should you do?

A. Create an access level that includes conditions for internal IP address ranges and AppDev groups.
Apply this access level to the application's IAP policy.
B. Configure firewall rules to limit access to IAP based on the AppDev group and source IP addresses.
C. Deploy a VPN gateway and instruct the AppDev group to connect to the company network before accessing the application.
D. Configure IAP to enforce multi-factor authentication (MFA) for all users and use network intrusion detection systems (NIDS) to block unauthorized access attempts.

Antwort: A

Begründung:
Identity-Aware Proxy (IAP) controls access to web resources based on user identity and context, not network firewalls (like Option B). The tool used to define the contextual requirements (IP range) and identity (group membership) is an Access Level within Access Context Manager.
Access Level: Defines the required context (e.g., source IP range of the internal network) and the required identity attributes (e.g., user is a member of the AppDev group).
IAP Policy: The IAP policy for the Cloud Run application is then configured to only allow access if the user meets the conditions defined in the Access Level.
Extracts:
"Identity-Aware Proxy works by verifying a user's identity and context of the request to determine if the user should be allowed to access an application." (Source 3.1)
"When you set an IAP policy, you can define an Access Level from Context-Aware Access to enforce conditions based on user location (IP address), security status, and device policy, along with user identity
/group membership." (Source 3.2)
"IAP with Context-Aware Access is the recommended zero-trust approach for enforcing both identity (AppDev group) and context (internal IP address) requirements." (Source 3.3)

200. Frage
......

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