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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. Restricting access to Google Cloud data services (BigQuery, Cloud Storage, Cloud SQL) 3. Protecting and managing compute instance metadata 4. Configuring Sensitive Data Protection (discovering and redacting PII, pseudonymization)
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
Configuring network security	19%	- Designing network security 1. Using Cloud NAT to enable outbound traffic 2. Configuring network perimeter controls (firewall rules, hierarchical firewall policies, Cloud NGFW) 3. Establishing private connectivity between VPC and Google APIs (Private Google Access, Private Service Connect) 4. Configuring load balancing for security (Cloud Armor, SSL policies)
Managing operations	19%	- Automating infrastructure and application security 1. Automating security scanning for CVEs through CI/CD pipelines 2. Automating virtual machine and container image creation (hardening, maintenance, patch management) 3. Configuring Binary Authorization for GKE or Cloud Run 4. Managing policy and drift detection at scale (CSPM, custom org policies, Security Health Analytics)
Configuring access	25%	- Managing Cloud Identity 1. Configuring Workforce Identity Federation 2. Managing super administrator accounts 3. Administering user accounts and groups programmatically 4. Configuring Google Cloud Directory Sync and implementing SSO with a third-party identity provider 5. Automating user lifecycle management processes - Managing service accounts 1. Securing and protecting service accounts (including default service accounts) 2. Identifying scenarios requiring service accounts 3. Managing and creating short-lived credentials 4. Securing, auditing, and mitigating usage of service account keys 5. Creating, disabling, and authorizing service accounts

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Google Cloud Certified - Professional Cloud Security Engineer Exam Sample Questions (Q152-Q157):

NEW QUESTION # 152
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. Secret Manager
B. Compute Engine custom metadata
C. Cloud Key Management Service
D. Compute Engine guest attributes

Answer: A

Explanation:
Objective: Store and retrieve sensitive configuration data for an application running on Compute Engine.
Solution: Use Secret Manager to securely store and manage access to sensitive configuration data.
Steps:
Step 1: Open the Google Cloud Console.
Step 2: Navigate to the Secret Manager section.
Step 3: Create a new secret and add the sensitive configuration data.
Step 4: Set appropriate IAM policies to control access to the secret.
Step 5: Update the application to retrieve the secret from Secret Manager using the appropriate client libraries or APIs.
Secret Manager provides a secure and centralized way to manage sensitive information, with fine-grained access control and audit logging capabilities.
Reference:
Secret Manager Documentation
Storing and Accessing Secrets

NEW QUESTION # 153
You are auditing all your Google Cloud resources in the production project. You want to identity all principals who can change firewall rules.
What should you do?

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

Answer: C

NEW QUESTION # 154
What are the steps to encrypt data using envelope encryption?

A. Generate a key encryption key (KEK) locally.
Use the KEK to generate a data encryption key (DEK). Encrypt data with the DEK.
Store the encrypted data and the wrapped DEK.
B. Generate a key encryption key (KEK) locally.
Generate a data encryption key (DEK) locally. Encrypt data with the KEK.
Store the encrypted data and the wrapped DEK.
C. Generate a data encryption key (DEK) locally.
Encrypt data with the DEK.
Use a key encryption key (KEK) to wrap the DEK. Store the encrypted data and the wrapped DEK.
D. Generate a data encryption key (DEK) locally.
Use a key encryption key (KEK) to wrap the DEK. Encrypt data with the KEK.
Store the encrypted data and the wrapped KEK.

Answer: C

Explanation:
Reference:
https://cloud.google.com/kms/docs/envelope-encryption

NEW QUESTION # 155
Your organization's Google Cloud VMs are deployed via an instance template that configures them with a public IP address in order to host web services for external users. The VMs reside in a service project that is attached to a host (VPC) project containing one custom Shared VPC for the VMs. You have been asked to reduce the exposure of the VMs to the internet while continuing to service external users. You have already recreated the instance template without a public IP address configuration to launch the managed instance group (MIG). What should you do?

A. Deploy an external HTTP(S) load balancer in the host (VPC) project with the MIG as a backend.
B. Deploy a Cloud NAT Gateway in the service project for the MIG.
C. Deploy a Cloud NAT Gateway in the host (VPC) project for the MIG.
D. Deploy an external HTTP(S) load balancer in the service project with the MIG as a backend.

Answer: D

NEW QUESTION # 156
Your company's Google Cloud organization has about 200 projects and 1,500 virtual machines.
There is no uniform strategy for logs and events management, which reduces visibility for your security operations team. You need to design a logs management solution that provides visibility and allows the security team to view the environment's configuration.
What should you do?

A. 1. Enable network logs and data access logs for all resources in the "Production" folder.
2. Do not create log sinks to avoid unnecessary costs and latency.
3. Grant the roles "Logs Viewer" and "Browser" at project level to the security operations team.
B. 1. Create a dedicated log sink for each project that is in scope.
2. Use a BigQuery dataset with time partitioning enabled as a destination of the log sinks.
3. Deploy alerts based on log metrics in every project.
4. Grant the role "Monitoring Viewer" to the security operations team in each project.
C. 1. Create one log sink at the organization level that includes all the child resources.
2. Use as destination a Pub/Sub topic to ingest the logs into the security information and event.
management (SIEM) on-premises, and ensure that the right team can access the SIEM.
3. Grant the Viewer role at organization level to the security operations team.
D. 1. Create one sink for the "Production" folder that includes child resources and one sink for the logs ingested at the organization level that excludes child resources.
2. As destination, use a log bucket with a minimum retention period of 90 days in a project that can be accessed by the security team.
3. Grant the security operations team the role of Security Reviewer at organization level.

Answer: C

Explanation:
You need a SIEM to actually analyse the configurations of the environments.

NEW QUESTION # 157
......

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