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

Section	Weight	Objectives
Topic 1: Configuring network security	19%	- Designing network security 1. Establishing private connectivity between VPC and Google APIs (Private Google Access, Private Service Connect) 2. Configuring network perimeter controls (firewall rules, hierarchical firewall policies, Cloud NGFW) 3. Configuring load balancing for security (Cloud Armor, SSL policies) 4. Using Cloud NAT to enable outbound traffic
Topic 2: Ensuring data protection	23%	- Protecting sensitive data and preventing data loss 1. Protecting and managing compute instance metadata 2. Securing secrets with Secret Manager 3. Restricting access to Google Cloud data services (BigQuery, Cloud Storage, Cloud SQL) 4. Configuring Sensitive Data Protection (discovering and redacting PII, pseudonymization)
Topic 3: Supporting compliance requirements	14%	- 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
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. Securing, auditing, and mitigating usage of service account keys 2. Securing and protecting service accounts (including default service accounts) 3. Managing and creating short-lived credentials 4. Creating, disabling, and authorizing service accounts 5. Identifying scenarios requiring service accounts
Topic 5: 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

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Google Cloud Certified - Professional Cloud Security Engineer Exam Sample Questions (Q312-Q317):

NEW QUESTION # 312
Your organization has an operational image classification model running on a managed AI service on Google Cloud. You are in a configuration review with stakeholders and must describe the security responsibilities for the image classification model. What should you do?

A. Explain Google's shared responsibility model. Focus the configuration review on Identity and Access Management (IAM) permissions, secure data upload/download procedures, and monitoring logs for any potential malicious activity.
B. Explain that using platform-as-a-service (PaaS) transfers security concerns to Google. Describe the need for strict API usage limits to protect against unexpected usage and billing spikes.
C. Explain the security aspects of the code that transforms user-uploaded images using Google's service.
Define Cloud IAM for fine-grained access control within the development team.
D. Explain the development of custom network firewalls around the image classification service for deep intrusion detection and prevention. Describe vulnerability scanning tools for known vulnerabilities.

Answer: A

Explanation:
Comprehensive and Detailed Explanation From Exact Extract:
The best way to describe security responsibilities when using a Google Cloud service, especially a managed one like a managed AI service, is to invoke the Shared Responsibility Model.
This model clarifies that Google secures the underlying infrastructure (the hardware, data centers, and the service platform itself), while the customer (your organization) retains responsibility for security in the cloud, specifically: data, access controls (IAM), and operational monitoring.
Extracts:
"This division of duties is defined by the Shared Responsibility Model, a framework that clarifies the security responsibilities of both the cloud provider and the customer." (Source 3.2)
"While cloud providers secure the infrastructure, customers must take active steps to protect their applications, data, and access controls." (Source 3.2)
"The following areas are customer responsibilities as a user of any public cloud: Configuring Identity and Access Management (IAM) to ensure that the contents of your organization are accessed and modifiable by the appropriate personnel... Ensuring you have read all documentation to understand and follow best practices." (Source 3.5) For Google Cloud, the customer is responsible for: "Managing user permissions and access controls using Cloud IAM... Encrypting sensitive data... Monitoring logs and security events using Cloud Audit Logs and Security Command Center." (Source 3.2) Option C is incorrect because using PaaS/Managed Services does NOT transfer all security concerns to Google. The customer is still responsible for key areas.
Option B is the most comprehensive and correct answer as it immediately introduces the foundational concept (Shared Responsibility Model) and focuses on the most critical customer responsibilities: IAM (access controls), data procedures (upload/download), and monitoring logs (detective controls), all of which fall squarely under the customer's purview for a managed service.

NEW QUESTION # 313
A customer has 300 engineers. The company wants to grant different levels of access and efficiently manage IAM permissions between users in the development and production environment projects.
Which two steps should the company take to meet these requirements? (Choose two.)

A. Create a folder for each development and production environment.
B. Create a project with multiple VPC networks for each environment.
C. Create an Organizational Policy constraint for each folder environment.
D. Create a Google Group for the Engineering team, and assign permissions at the folder level.
E. Create projects for each environment, and grant IAM rights to each engineering user.

Answer: A,D

Explanation:
To manage IAM permissions efficiently for a large engineering team with different levels of access in development and production environments, follow these steps:
* Create Separate Folders:
* Create a folder for the development environment.
* Create a folder for the production environment.
* This allows you to organize projects and apply different policies and permissions to each environment.
* Navigate to IAM & Admin in the GCP Console.
* Select "Folders" from the left-hand menu.
* Create a new folder named "Development".
* Create a new folder named "Production".
* Create Google Groups:
* Create Google Groups for different teams within the engineering department (e.g., Development Team, Production Team).
* This helps in managing permissions centrally.
* Use the Google Admin Console to create groups.
* Add relevant engineers to each group.
* Assign Permissions at the Folder Level:
* Assign appropriate IAM roles to the Google Groups at the folder level.
* For example, grant Viewer role to the Development Team group for the development folder.
* Grant Editor or more restrictive roles as required for the Production Team group for the production folder.
* Select the development folder.
* Go to the "Permissions" tab.
* Click on "Add" and enter the email address of the Development Team Google Group.
* Assign the "Viewer" role.
* Repeat for the production folder, assigning appropriate roles to the Production Team Google Group.
By following these steps, you create a clear separation between development and production environments and manage permissions efficiently using Google Groups and folders.
Google Cloud IAM Documentation
Google Cloud Resource Manager Documentation

NEW QUESTION # 314
You define central security controls in your Google Cloud environment. For one of the folders in your organization, you set an organizational policy to deny the assignment of external IP addresses to VMs. Two days later, you receive an alert about a new VM with an external IP address under that folder.
What could have caused this alert?

A. The organizational policy constraint wasn't properly enforced and is running in "dry run" mode.
B. The policy constraint on the folder level does not have any effect because of an "allow" value for that constraint on the organizational level.
C. The VM was created with a static external IP address that was reserved in the project before the organizational policy rule was set.
D. A project level, the organizational policy control has been overwritten with an "allow" value.

Answer: D

Explanation:
https://cloud.google.com/resource-manager/docs/organization-policy/understanding-hierarchy

NEW QUESTION # 315
A DevOps team will create a new container to run on Google Kubernetes Engine. As the application will be internet-facing, they want to minimize the attack surface of the container.
What should they do?

A. Use Cloud Build to build the container images.
B. Use a Continuous Delivery tool to deploy the application.
C. Build small containers using small base images.
D. Delete non-used versions from Container Registry.

Answer: B

Explanation:
https://cloud.google.com/solutions/best-practices-for-building-containers

NEW QUESTION # 316
You are asked to recommend a solution to store and retrieve sensitive configuration data from an application that runs on Compute Engine. Which option should you recommend?

A. Compute Engine custom metadata
B. Compute Engine guest attributes
C. Secret Manager
D. Cloud Key Management Service

Answer: C

Explanation:
Secret Manager is a secure and convenient storage system for API keys, passwords, certificates, and other sensitive data. Secret Manager provides a central place and single source of truth to manage, access, and audit secrets across Google Cloud.
https://cloud.google.com/secret-manager

NEW QUESTION # 317
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