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Google Professional-Cloud-Security-Engineer Certification Exam covers a range of topics related to cloud security, including security management, data protection, identity and access management, compliance and regulation, and incident management. Google Cloud Certified - Professional Cloud Security Engineer Exam certification exam is ideal for professionals who want to work with Google Cloud Platform (GCP) and ensure that their organizations can maintain a secure and compliant cloud environment.

Ensure Data Protection

Management of Encryption at Rest: This part requires the candidates’ knowledge of the use cases for customer-supplied encryption keys, default encryption, and customer-managed encryption keys. It also validates their competence in the creation and management of encryption keys for CSEK and CMEK. In addition, the applicants should have an understanding of envelope encryption, enclave computing, and application secrets management.
Data Loss Prevention with DLP API: This domain measures the examinees’ skills and competence in the configuration of tokenization, identification, and redaction of PII, restriction of access to DLP datasets, and configuration of format preservation substitution;

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The Google Cloud Certified - Professional Cloud Security Engineer Exam certification validates the knowledge and skills required to design, implement and manage security solutions in Google Cloud. Google Cloud Certified - Professional Cloud Security Engineer Exam certification exam covers various topics, including security policies and procedures, identity and access management, network security, data security, security controls, application security, and incident management. Professional-Cloud-Security-Engineer Exam Format consists of multiple-choice questions and performance-based scenarios, and candidates are expected to demonstrate practical knowledge and experience in securing Google Cloud infrastructure.

Google Cloud Certified - Professional Cloud Security Engineer Exam Sample Questions (Q287-Q292):

NEW QUESTION # 287
A company is using Google Kubernetes Engine (GKE) with container images of a mission-critical application The company wants to scan the images for known security issues and securely share the report with the security team without exposing them outside Google Cloud.
What should you do?

A. * 1. Enable vulnerability scanning in the Artifact Registry settings.
* 2. Use Cloud Build to build the images
* 3. Push the images to the Artifact Registry for automatic scanning.
* 4. View the reports in the Artifact Registry.
B. 1. Enable Container Threat Detection in the Security Command Center Premium tier.
* 2. Upgrade all clusters that are not on a supported version of GKE to the latest possible GKE version.
* 3. View and share the results from the Security Command Center
C. * 1. Get a GitHub subscription.
* 2. Build the images in Cloud Build and store them in GitHub for automatic scanning
* 3. Download the report from GitHub and share with the Security Team
D. * 1. Use an open source tool in Cloud Build to scan the images.
* 2. Upload reports to publicly accessible buckets in Cloud Storage by using gsutil
* 3. Share the scan report link with your security department.

Answer: A

Explanation:
"The service evaluates all changes and remote access attempts to detect runtime attacks in near-real time." : https://cloud.google.com/security-command-center/docs/concepts-container-threat-detection-overview This has nothing to do with KNOWN security Vulns in images

NEW QUESTION # 288
Your organization is using Vertex AI Workbench Instances. You must ensure that newly deployed Instances are automatically kept up-to-date and that users cannot accidentally alter settings in the operating system. What should you do?

A. Assign the AI Notebooks Runner and AI Notebooks Viewer roles to the users of the AI Workbench Instances.
B. Implement a firewall rule that prevents Secure Shell access to the corresponding Google Compute Engine instances by using tags.
C. Enable the VM Manager and ensure the corresponding Google Compute Engine instances are added.
D. Enforce the disableRootAccesa and requireAutoUpgradeSchedule organization policies for newly deployed Instances.

Answer: D

Explanation:
https://cloud.google.com/vertex-ai/docs/workbench/instances/manage-metadata

NEW QUESTION # 289
As adoption of the Cloud Data Loss Prevention (DLP) API grows within the company, you need to optimize usage to reduce cost. DLP target data is stored in Cloud Storage and BigQuery. The location and region are identified as a suffix in the resource name.
Which cost reduction options should you recommend?

A. Use rowsLimit and bytesLimitPerFile to sample data and use CloudStorageRegexFileSet to limit scans.
B. Set appropriate rowsLimit value on BigQuery data hosted outside the US, and minimize transformation units on multiregional Cloud Storage buckets.
C. Set appropriate rowsLimit value on BigQuery data hosted outside the US and set appropriate bytesLimitPerFile value on multiregional Cloud Storage buckets.
D. Use FindingLimits and TimespanContfig to sample data and minimize transformation units.

Answer: A

NEW QUESTION # 290
A customer terminates an engineer and needs to make sure the engineer's Google account is automatically deprovisioned.
What should the customer do?

A. Configure Cloud Directory Sync with their directory service to remove their IAM permissions in Cloud Identity.
B. Configure Cloud Directory Sync with their directory service to provision and deprovision users from Cloud Identity.
C. Use the Cloud SDK with their directory service to remove their IAM permissions in Cloud Identity.
D. Use the Cloud SDK with their directory service to provision and deprovision users from Cloud Identity.

Answer: B

Explanation:
Explanation
https://cloud.google.com/identity/solutions/automate-user-provisioning#cloud_identity_automated_provisioning
"Cloud Identity has a catalog of automated provisioning connectors, which act as a bridge between Cloud Identity and third-party cloud apps."

NEW QUESTION # 291
You work at a company in a regulated industry and are responsible for ongoing security of the Cloud environment. You need to prevent and detect misconfigurations in a particular folder based on specific compliance policies. You need to adhere to industry-specific compliance policies and policies that are internal to your company. What should you do?

A. Enable Assured Workloads on the folder level, with the specific control bundle appropriate for your industry's regulations.
B. Create custom organization policies that follow specific business requirements. Enforce the policies on the folder level.
C. Use Workload Manager with custom Rego policies to continuously scan the environment for misconfigurations on the folder level.C. Create a Posture file by using custom and predefined SHA or organization policies. Enforce the posture on the folder level.

Answer: B

Explanation:
Comprehensive and Detailed Explanation From Exact Extract:
The requirements are a combination of preventative and detective controls (prevent and detect misconfigurations) applied at the Folder level to meet both industry-specific (predefined standards) and internal/custom policies. The dedicated Google Cloud feature for this is Security Posture Management in Security Command Center (SCC).
Postures and Enforcement: A Security Posture is a feature within SCC Premium/Enterprise that allows you to define, deploy, and monitor the security status of your cloud assets. You can deploy postures at the organization, folder, or project level to enforce standards.
Custom and Predefined Policies: A posture combines both:
Predefined Policies: Using Security Health Analytics (SHA) detectors and mapped standards (like CIS, ISO
27001, PCI DSS) covers the industry-specific compliance requirements (detection).
Custom Policies: Using custom Organization Policy constraints and custom SHA modules allows you to enforce and detect your internal company policies (prevention and detection).
Extracts:
"In Google Cloud, you can use the security posture service in Security Command Center to define and deploy a security posture, monitor the security status of your Google Cloud resources..." (Source 2.3)
"You can deploy postures at the organization level, folder level, or project level." (Source 2.3)
"The security posture service includes the following components: Posture. One or more policy sets that enforce the preventative and detective controls that your organization requires to meet its security standard...
Supported policies are the following: Organization Policy constraints, including custom constraints
[Preventative]. Security Health Analytics detectors, including custom modules [Detective]." (Source 2.3, 8.2) Option C correctly identifies the comprehensive solution for both prevention and detection using a Posture file, which supports custom and predefined policies enforced at the required scope (folder).

NEW QUESTION # 292
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