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

Section	Weight	Objectives
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. Restricting access to Google Cloud data services (BigQuery, Cloud Storage, Cloud SQL) 4. Protecting and managing compute instance metadata
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. Using Cloud NAT to enable outbound traffic 4. Configuring load balancing for security (Cloud Armor, SSL policies)
Managing operations	19%	- Automating infrastructure and application security 1. Configuring Binary Authorization for GKE or Cloud Run 2. Automating security scanning for CVEs through CI/CD pipelines 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 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)
Configuring access	25%	- Managing service accounts 1. Securing and protecting service accounts (including default service accounts) 2. Identifying scenarios requiring service accounts 3. Creating, disabling, and authorizing service accounts 4. Securing, auditing, and mitigating usage of service account keys 5. Managing and creating short-lived credentials - Managing Cloud Identity 1. Managing super administrator accounts 2. Configuring Google Cloud Directory Sync and implementing SSO with a third-party identity provider 3. Configuring Workforce Identity Federation 4. Administering user accounts and groups programmatically 5. Automating user lifecycle management processes

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Google Cloud Certified - Professional Cloud Security Engineer Exam Sample Questions (Q231-Q236):

NEW QUESTION # 231
Your organization has on-premises hosts that need to access Google Cloud APIs You must enforce private connectivity between these hosts minimize costs and optimize for operational efficiency What should you do?

A. Route all on-premises traffic to Google Cloud through an IPsec VPN tunnel to a VPC with Private Google Access enabled.
B. Enforce a security policy that mandates all applications to encrypt data with a Cloud Key Management.
Service (KMS) key before you send it over the network.
C. Route all on-premises traffic to Google Cloud through a dedicated or Partner interconnect to a VPC with Private Google Access enabled.
D. Set up VPC peering between the hosts on-premises and the VPC through the internet.

Answer: C

Explanation:
To enforce private connectivity between on-premises hosts and Google Cloud APIs while optimizing for cost and operational efficiency, using a dedicated or Partner Interconnect is the best solution. This setup ensures a reliable, high-bandwidth connection with private IP addressing.
* Choose Interconnect Type: Decide between Dedicated Interconnect and Partner Interconnect based on your bandwidth needs and proximity to Google Cloud locations.
* Set Up Interconnect:
* For Dedicated Interconnect, order circuits through the Google Cloud Console.
* For Partner Interconnect, select a supported service provider and order the connection through them.
* Configure VPC and Private Google Access:
* In your VPC, enable Private Google Access to allow on-premises hosts to access Google APIs privately.
* Go to "VPC network" -> "Private Google Access" and enable it for your subnets.
* Establish Connectivity: Work with your network team and (if applicable) your Partner Interconnect provider to set up the physical and logical connections.
* Test Connectivity: Verify that on-premises hosts can reach Google Cloud services using private IP addresses.
References:
* Google Cloud Interconnect Overview
* Configuring Private Google Access

NEW QUESTION # 232
You are developing a new application that uses exclusively Compute Engine VMs Once a day. this application will execute five different batch jobs Each of the batch jobs requires a dedicated set of permissions on Google Cloud resources outside of your application. You need to design a secure access concept for the batch jobs that adheres to the least-privilege principle What should you do?

A. 1. Create a workload identity pool and configure workload identity pool providers for each batch job
* 2 Assign the workload identity user role to each of the identities configured in the providers.
* 3. Create one service account per batch job Mb-sa-[1-5]". and grant only the permissions required to run the individual batch jobs to the service accounts
* 4 Generate credential configuration files for each of the providers Use these files to execute the batch jobs with the permissions of b-sa-[1-5].
B. * 1. Create a general service account "g-sa" to orchestrate the batch jobs.
* 2 Create one service account per batch job 'b-sa-[1-5)\ Grant only the permissions required to run the individual batch jobs to the service accounts and generate service account keys for each of these service accounts
* 3. Store the service account keys in Secret Manager. Grant g-sa access to Secret Manager and run the batch jobs with the permissions of b-sa-[1-5].
C. 1. Create a general service account "g-sa" to orchestrate the batch jobs.
* 2. Create one service account per batch job Mb-sa-[1-5]," and grant only the permissions required to run the individual batch jobs to the service accounts.
* 3. Grant the Service Account Token Creator role to g-sa Use g-sa to obtain short-lived access tokens for b-sa-[1-5] and to execute the batch jobs with the permissions of b-sa-[1-5].
D. 1. Create a general service account **g-sa" to execute the batch jobs.
* 2 Grant the permissions required to execute the batch jobs to g-sa.
* 3. Execute the batch jobs with the permissions granted to g-sa

Answer: C

NEW QUESTION # 233
You are auditing all your Google Cloud resources in the production project. You want to identify all principals who can change firewall rules.
What should you do?

A. Reference the Security Health Analytics - Firewall Vulnerability Findings in the Security Command Center.
B. Use Policy Analyzer to query the permissions compute.firewalls.create or compute.firewalls.update or compute.firewalls.delete.
C. Use Firewall Insights to understand your firewall rules usage patterns.
D. Use Policy Analyzer to query the permissions compute.firewalls.get or compute.firewalls.list.

Answer: B

Explanation:
To identify all principals who can change firewall rules, you should use Policy Analyzer to query for the permissions related to creating, updating, or deleting firewall rules. These permissions are usually associated with compute.firewalls.create, compute.firewalls.update, and compute.firewalls.delete. By checking which principals have these permissions, you can determine who has the ability to change firewall rules in your Google Cloud project.

NEW QUESTION # 234
Your team needs to prevent users from creating projects in the organization. Only the DevOps team should be allowed to create projects on behalf of the requester.
Which two tasks should your team perform to handle this request? (Choose two.)

A. Add a designated group of users to the Project Creator role at the organizational level.
B. Grant the Project Editor role at the organizational level to a designated group of users.
C. Grant the billing account creator role to the designated DevOps team.
D. Remove all users from the Project Creator role at the organizational level.
E. Create an Organization Policy constraint, and apply it at the organizational level.

Answer: A,D

Explanation:
Explanation
https://cloud.google.com/resource-manager/docs/organization-policy/org-policy-constraints

NEW QUESTION # 235
Your company's users access data in a BigQuery table. You want to ensure they can only access the data during working hours.
What should you do?

A. Assign a BigQuery Data Viewer role along with an 1AM condition that limits the access to specified working hours.
B. Run a gsuttl script that assigns a BigQuery Data Viewer role, and remove it only during the specified working hours.
C. Assign a BigQuery Data Viewer role to a service account that adds and removes the users daily during the specified working hours
D. Configure Cloud Scheduler so that it triggers a Cloud Functions instance that modifies the organizational policy constraints for BigQuery during the specified working hours.

Answer: A

Explanation:
o ensure that users can only access the data in a BigQuery table during working hours, you can assign the BigQuery Data Viewer role with an IAM condition that specifies the allowed access times. This method leverages IAM Conditions, which allow you to define and enforce time-based access policies. Here's how to do it:
Identify the BigQuery Table: Determine which BigQuery table(s) require restricted access.
Create an IAM Policy with Conditions: Define an IAM policy that includes a condition for time-based access.
You can do this using the Google Cloud Console, gcloud command-line tool, or directly editing the IAM policy JSON.
Specify Working Hours: In the IAM condition, specify the time frame during which access is allowed. For example, you can set access to be allowed from 9 AM to 5 PM on weekdays.
Assign the Role with Conditions: Apply the policy to the users or groups who need access. Ensure that the condition is correctly attached to the BigQuery Data Viewer role.
Example using gcloud:
gcloud projects add-iam-policy-binding [PROJECT_ID] \
--member=user:[USER_EMAIL] \
--role=roles/bigquery.dataViewer \
--condition=expression="(request.time.getFullYear() == 2024) && (request.time.getDayOfWeek() in [1, 2, 3,
4, 5]) && (request.time.getHours() >= 9) && (request.time.getHours() < 17)",title="Working hours condition",description="Access limited to working hours" References Google Cloud IAM Conditions Google Cloud BigQuery IAM Roles

NEW QUESTION # 236
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