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

SectionWeightObjectives
Managing operations19%- Automating infrastructure and application security
  • 1. Configuring Binary Authorization for GKE or Cloud Run
  • 2. Managing policy and drift detection at scale (CSPM, custom org policies, Security Health Analytics)
  • 3. Automating virtual machine and container image creation (hardening, maintenance, patch management)
  • 4. Automating security scanning for CVEs through CI/CD pipelines
Ensuring data protection23%- Protecting sensitive data and preventing data loss
  • 1. Protecting and managing compute instance metadata
  • 2. Configuring Sensitive Data Protection (discovering and redacting PII, pseudonymization)
  • 3. Securing secrets with Secret Manager
  • 4. Restricting access to Google Cloud data services (BigQuery, Cloud Storage, Cloud SQL)
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. Using Cloud NAT to enable outbound traffic
  • 4. Configuring load balancing for security (Cloud Armor, SSL policies)
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
Configuring access25%- 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. Managing super administrator accounts
  • 4. Automating user lifecycle management processes
  • 5. Configuring Workforce Identity Federation
- Managing service accounts
  • 1. Managing and creating short-lived credentials
  • 2. Securing, auditing, and mitigating usage of service account keys
  • 3. Securing and protecting service accounts (including default service accounts)
  • 4. Identifying scenarios requiring service accounts
  • 5. Creating, disabling, and authorizing service accounts

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Google Cloud Certified - Professional Cloud Security Engineer Exam Sample Questions (Q239-Q244):

NEW QUESTION # 239
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?

Answer: B

Explanation:
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.
References:
* Google Cloud: Container security
* Kubernetes: Updating an application


NEW QUESTION # 240
You are a consultant for an organization that is considering migrating their data from its private cloud to Google Cloud. The organization's compliance team is not familiar with Google Cloud and needs guidance on how compliance requirements will be met on Google Cloud. One specific compliance requirement is for customer data at rest to reside within specific geographic boundaries. Which option should you recommend for the organization to meet their data residency requirements on Google Cloud?

Answer: A

Explanation:
Organization Policy Service constraints to add org policy for Resource Location Restriction.
https://cloud.google.com/resource-manager/docs/organization-policy/using-constraints#list- constraint


NEW QUESTION # 241
You are running code in Google Kubernetes Engine (GKE) containers in Google Cloud that require access to objects stored in a Cloud Storage bucket. You need to securely grant the Pods access to the bucket while minimizing management overhead. What should you do?

Answer: C

Explanation:
https://cloud.google.com/kubernetes-engine/docs/concepts/workload-identity


NEW QUESTION # 242
Your organization must follow the Payment Card Industry Data Security Standard (PCI DSS). To prepare for an audit, you must detect deviations at an infrastructure-as-a-service level in your Google Cloud landing zone. What should you do?

Answer: C

Explanation:
To ensure compliance with the Payment Card Industry Data Security Standard (PCI DSS) at the infrastructure-as-a-service (IaaS) level within Google Cloud, it's essential to have continuous monitoring and assessment tools that can detect deviations from compliance requirements.
Option A: Creating data profiles and configuring Data Discovery jobs in Google Cloud Sensitive Data Protection focuses on identifying and analyzing sensitive data but does not directly address infrastructure compliance monitoring.
Option B: Downloading the latest PCI DSS report from the Compliance Reports Manager provides a static compliance report but does not offer real-time detection of deviations within your specific environment.
Option C: Utilizing Assured Workloads helps in creating environments that meet specific compliance requirements, but migrating existing projects into such folders does not actively detect deviations; it primarily ensures that new workloads comply with predefined policies.
Option D: Activating Security Command Center (SCC) Premium and leveraging its Compliance Monitoring capabilities allows for continuous assessment of your Google Cloud environment against PCI DSS requirements. SCC can identify misconfigurations, vulnerabilities, and compliance violations in real-time, providing actionable insights to address any issues promptly.
Therefore, Option D is the most effective approach to detect deviations at the IaaS level in preparation for a PCI DSS audit.
Reference:
Security Command Center Overview
Security Command Center Compliance Monitoring


NEW QUESTION # 243
A customer is running an analytics workload on Google Cloud Platform (GCP) where Compute Engine instances are accessing data stored on Cloud Storage. Your team wants to make sure that this workload will not be able to access, or be accessed from, the internet.
Which two strategies should your team use to meet these requirements? (Choose two.)

Answer: C,D

Explanation:
Objective: Ensure that the analytics workload on Compute Engine instances accessing Cloud Storage does not interact with the public internet.
Solution:
Private Google Access: This allows Compute Engine instances that only have internal IP addresses to reach Google APIs and services through a private connection without the need for a public IP address.
No Public IP Addresses: By avoiding public IP addresses for the instances, you ensure that they are not accessible from the internet and do not initiate internet connections.
Steps:
Step 1: Open the Google Cloud Console.
Step 2: Navigate to the VPC Network page and select the subnet where the Compute Engine instances are located.
Step 3: Enable Private Google Access for the subnet.
Step 4: Ensure that when launching the Compute Engine instances, no public IP addresses are assigned to them.
Reference:
Configuring Private Google Access
Preventing External IP Address Assignment


NEW QUESTION # 244
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