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

SectionWeightObjectives
Configuring access25%- Managing service accounts
  • 1. Creating, disabling, and authorizing service accounts
  • 2. Securing, auditing, and mitigating usage of service account keys
  • 3. Identifying scenarios requiring service accounts
  • 4. Managing and creating short-lived credentials
  • 5. Securing and protecting service accounts (including default service accounts)
- Managing Cloud Identity
  • 1. Configuring Google Cloud Directory Sync and implementing SSO with a third-party identity provider
  • 2. Configuring Workforce Identity Federation
  • 3. Automating user lifecycle management processes
  • 4. Managing super administrator accounts
  • 5. Administering user accounts and groups programmatically
Configuring network security19%- Designing network security
  • 1. Using Cloud NAT to enable outbound traffic
  • 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. Configuring network perimeter controls (firewall rules, hierarchical firewall policies, Cloud NGFW)
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. Configuring Sensitive Data Protection (discovering and redacting PII, pseudonymization)
  • 4. Protecting and managing compute instance metadata
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. Automating virtual machine and container image creation (hardening, maintenance, patch management)
  • 4. Managing policy and drift detection at scale (CSPM, custom org policies, Security Health Analytics)
Supporting compliance requirements14%- Determining security requirements
  • 1. Implementing security controls for Vertex AI and AI/ML workloads
  • 2. Identifying security requirements (e.g., regulatory, compliance)
  • 3. Configuring audit logging and monitoring (Cloud Audit Logs, Access Transparency)

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Google Cloud Certified - Professional Cloud Security Engineer Exam Sample Questions (Q299-Q304):

NEW QUESTION # 299
location and to deploy different types of models in a consistent way You must ensure that your users can only access the approved models What should you do?

Answer: D

Explanation:
The problem states that the organization is using Model Garden and needs to ensure users can only access approved models This implies a need for a central, enforceable control mechanism Organization Policies and Constraints: Google Cloud Organization Policy Service allows administrators to centrally control resources across an organization Constraints are specific types of restrictions that can be applied For AI Platform (which includes Vertex AI and Model Garden), there are specific constraints designed to control model usage vertexaiallowedModels Constraint: This specific organization policy constraint is designed precisely to restrict which models can be used within a given organization, folder, or project It provides a centralized way to define a list of approved models that users are allowed to accessExtract Reference: "The vertexaiallowedModels constraint allows you to specify a list of model URIs that are allowed to be used within the resource hierarchy" and "This constraint helps organizations enforce compliance and control which models are consumed by their users" (Google Cloud documentation, typically found under Organization Policy Service constraints for Vertex AI or AI Platform) Let's evaluate the other options:
A Configure IAM permissions on individual Model Garden to restrict access to specific models: IAM (Identity and Access Management) typically grants permissions at a broader resource level (eg, project, dataset, model resource) While you can control who can manage models, directly restricting access to specific models within Model Garden for consumption via IAM roles on individual models is not the primary mechanism for enforcing a list of approved models across an organization in a preventative way Organization policies are designed for this kind of broad, preventative control B Regularly audit user activity logs in Vertex AI to identify and revoke access to unapproved models: Auditing logs is a reactive measure While important for monitoring and detecting violations, it does not prevent users from accessing unapproved models in the first place The requirement is to ensure they can only access approved models, implying a proactive control C Train custom models within your Vertex AI project and restrict user access to these models: This is about managing access to custom-trained models, not about controlling access to the collection of models in Model Garden, which often includes pre-trained or publicly available models that need to be whitelisted It doesn't address the requirement of ensuring users only access approved models from the broader Model Garden collection


NEW QUESTION # 300
Your organization's application is being integrated with a partner application that requires read access to customer data to process customer orders. The customer data is stored in one of your Cloud Storage buckets.
You have evaluated different options and determined that this activity requires the use of service account keys. You must advise the partner on how to minimize the risk of a compromised service account key causing a loss of data. What should you advise the partner to do?

Answer: B

Explanation:
When integrating applications that require access to sensitive data stored in Cloud Storage, managing service account keys securely is crucial to prevent unauthorized access or data loss.
* Option A: Defining a VPC Service Controls perimeter enhances security by restricting access to Google Cloud services. However, configuring ingress rules to allow external access for the service account may introduce complexities and potential security gaps, especially if the partner's infrastructure is outside the defined perimeter.
* Option B: Scanning and masking customer data addresses data sensitivity but does not mitigate risks associated with compromised service account keys. This approach focuses on data content rather than access control mechanisms.
* Option C: Encrypting data at rest using customer-managed encryption keys (CMEK) ensures data confidentiality but does not directly address the security of service account keys or access controls.
* Option D: Implementing a secret management service to handle service account keys is a best practice.
By configuring the service to frequently rotate keys, you reduce the window of opportunity for malicious actors to exploit compromised keys. Additionally, enforcing strict access controls ensures that only authorized personnel can create or manage service account keys, minimizing the risk of unauthorized access. This approach directly addresses the security concerns related to service account key management.
Therefore, Option D is the most appropriate recommendation, as it focuses on securely managing service account keys through rotation and access controls, thereby minimizing the risk of data loss due to compromised keys.
References:
* Best Practices for Managing Service Account Keys
* Secret Manager Documentation


NEW QUESTION # 301
A company migrated their entire data/center to Google Cloud Platform. It is running thousands of instances across multiple projects managed by different departments. You want to have a historical record of what was running in Google Cloud Platform at any point in time.
What should you do?

Answer: C

Explanation:
To maintain a historical record of what was running in Google Cloud Platform at any point in time, you should use Forseti Security to automate inventory snapshots. Forseti Security is an open-source toolkit that helps to automate security and compliance in GCP by taking inventory snapshots of GCP resources.
Step-by-Step:
* Install Forseti Security:
* Follow the installation guide to deploy Forseti Security on your GCP environment.
* Configure Inventory:
* Set up the inventory module in Forseti to capture and store snapshots of GCP resources.
* Schedule Snapshots:
* Use Forseti's configuration to schedule regular inventory snapshots.
* Access Historical Data:
* Review and access historical records through Forseti's dashboard or by querying the Forseti database.
* Compliance and Monitoring: Use Forseti to ensure compliance and monitor changes over time.
Forseti Security Overview
Inventory Module


NEW QUESTION # 302
You are creating a new infrastructure CI/CD pipeline to deploy hundreds of ephemeral projects in your Google Cloud organization to enable your users to interact with Google Cloud. You want to restrict the use of the default networks in your organization while following Google-recommended best practices. What should you do?

Answer: C

Explanation:
https://cloud.google.com/resource-manager/docs/organization-policy/org-policy-constraints
- constraints/compute.skipDefaultNetworkCreation
This boolean constraint skips the creation of the default network and related resources during Google Cloud Platform Project resource creation where this constraint is set to True. By default, a default network and supporting resources are automatically created when creating a Project resource.


NEW QUESTION # 303
Your company's cloud security policy dictates that VM instances should not have an external IP address. You need to identify the Google Cloud service that will allow VM instances without external IP addresses to connect to the internet to update the VMs. Which service should you use?

Answer: A

Explanation:
Cloud NAT Service: Use Cloud NAT (Network Address Translation) to allow VM instances without external IP addresses to access the internet securely.
Configuration: Configure Cloud NAT for the subnets containing your VM instances. This setup allows the VMs to initiate outbound connections to the internet for updates and other necessary communications.
Security Compliance: By using Cloud NAT, you adhere to the security policy of not assigning external IP addresses to VMs while still enabling necessary internet connectivity. Cloud NAT provides a secure method for outbound internet traffic without exposing VMs directly to the public internet. Reference::
Google Cloud - Cloud NAT Overview
Google Cloud - Configuring Cloud NAT


NEW QUESTION # 304
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