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

SectionWeightObjectives
Managing operations19%- Automating infrastructure and application security
  • 1. Automating virtual machine and container image creation (hardening, maintenance, patch management)
  • 2. Automating security scanning for CVEs through CI/CD pipelines
  • 3. Managing policy and drift detection at scale (CSPM, custom org policies, Security Health Analytics)
  • 4. Configuring Binary Authorization for GKE or Cloud Run
Configuring access25%- Managing service accounts
  • 1. Managing and creating short-lived credentials
  • 2. Securing and protecting service accounts (including default service accounts)
  • 3. Creating, disabling, and authorizing service accounts
  • 4. Identifying scenarios requiring service accounts
  • 5. Securing, auditing, and mitigating usage of service account keys
- Managing Cloud Identity
  • 1. Administering user accounts and groups programmatically
  • 2. Automating user lifecycle management processes
  • 3. Managing super administrator accounts
  • 4. Configuring Google Cloud Directory Sync and implementing SSO with a third-party identity provider
  • 5. Configuring Workforce Identity Federation
Ensuring data protection23%- Protecting sensitive data and preventing data loss
  • 1. Configuring Sensitive Data Protection (discovering and redacting PII, pseudonymization)
  • 2. Restricting access to Google Cloud data services (BigQuery, Cloud Storage, Cloud SQL)
  • 3. Securing secrets with Secret Manager
  • 4. Protecting and managing compute instance metadata
Configuring network security19%- Designing network security
  • 1. Configuring network perimeter controls (firewall rules, hierarchical firewall policies, Cloud NGFW)
  • 2. Using Cloud NAT to enable outbound traffic
  • 3. Configuring load balancing for security (Cloud Armor, SSL policies)
  • 4. Establishing private connectivity between VPC and Google APIs (Private Google Access, Private Service Connect)
Supporting compliance requirements14%- Determining security requirements
  • 1. Implementing security controls for Vertex AI and AI/ML workloads
  • 2. Configuring audit logging and monitoring (Cloud Audit Logs, Access Transparency)
  • 3. Identifying security requirements (e.g., regulatory, compliance)

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Google Cloud Certified - Professional Cloud Security Engineer Exam Sample Questions (Q226-Q231):

NEW QUESTION # 226
While migrating your organization's infrastructure to GCP, a large number of users will need to access GCP Console. The Identity Management team already has a well-established way to manage your users and want to keep using your existing Active Directory or LDAP server along with the existing SSO password.
What should you do?

Answer: D


NEW QUESTION # 227
A customer wants to make it convenient for their mobile workforce to access a CRM web interface that is hosted on Google Cloud Platform (GCP). The CRM can only be accessed by someone on the corporate network. The customer wants to make it available over the internet.
Your team requires an authentication layer in front of the application that supports two-factor authentication Which GCP product should the customer implement to meet these requirements?

Answer: A


NEW QUESTION # 228
You want to use the gcloud command-line tool to authenticate using a third-party single sign-on (SSO) SAML identity provider. Which options are necessary to ensure that authentication is supported by the third-party identity provider (IdP)? (Choose two.)

Answer: B,E


NEW QUESTION # 229
You're developing the incident response plan for your company. You need to define the access strategy that your DevOps team will use when reviewing and investigating a deployment issue in your Google Cloud environment. There are two main requirements:
Least-privilege access must be enforced at all times.
The DevOps team must be able to access the required resources only during the deployment issue.
How should you grant access while following Google-recommended best practices?

Answer: A

Explanation:
To ensure least-privilege access and provide necessary permissions to the DevOps team only during a deployment issue, follow these steps:
Create a Service Account:
In your Google Cloud project, create a new service account specifically for the DevOps team.
Assign Limited Permissions:
Grant the service account permissions with only the necessary list/view roles. For instance, you can create a custom IAM role with compute.instances.list and compute.instances.get permissions.
Grant Service Account User Role:
Assign the Service Account User role to the DevOps team members for the created service account. This allows them to act as the service account and use its permissions.
Access Control During Incidents:
During a deployment issue, the DevOps team can temporarily use the service account to access the resources.
This ensures they have the least-privilege access required to investigate and resolve the issue.
Automation and Monitoring:
Implement automation to enable and disable the service account access as needed and monitor the usage to ensure compliance with the least-privilege principle.
Benefits:
Security: Limits access to only what is necessary, reducing the risk of unauthorized changes.
Flexibility: Provides necessary access during incidents without granting permanent elevated permissions.
References
Creating and Managing Service Accounts
Service Account User Role


NEW QUESTION # 230
Your organization recently activated the Security Command Center {SCO standard tier. There are a few Cloud Storage buckets that were accidentally made accessible to the public. You need to investigate the impact of the incident and remediate it.
What should you do?

Answer: C

Explanation:
##
To investigate and remediate the issue of public access to Cloud Storage buckets, you can follow these steps:
Change Bucket Permissions:
Navigate to the Cloud Storage section in the Google Cloud Console.
For each affected bucket, remove any public access permissions (e.g., removing allUsers or allAuthenticatedUsers from the IAM policy).
Ensure that only authorized users have the necessary permissions to access the buckets.
Query Data Access Audit Logs:
Go to the Logging section in the Google Cloud Console.
Query the audit logs for the affected buckets to identify any unauthorized access. You can use filters to search for access by unauthorized users.
Correct the Misconfiguration:
After correcting the permissions, mute the relevant findings in the Security Command Center to indicate that the issue has been resolved.
This helps in maintaining a clear view of ongoing security issues and ensures the findings are not flagged again unless there's a new occurrence.
By following these steps, you ensure that the buckets are no longer publicly accessible, investigate any potential unauthorized access, and update the Security Command Center status to reflect the resolution of the issue.
References:
Cloud Storage IAM Permissions
Viewing Audit Logs
Security Command Center Documentation


NEW QUESTION # 231
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