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[General] Professional-Cloud-Security-Engineer Valid Exam Camp Pdf - Latest Professional-C

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【General】 Professional-Cloud-Security-Engineer Valid Exam Camp Pdf - Latest Professional-C

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To prepare for the exam, candidates are encouraged to take advantage of the various resources provided by Google Cloud. These resources include online training courses, practice exams, and study guides. In addition, candidates are encouraged to gain practical experience by working on real-world cloud security projects.
2. Networking in Google CloudThis course is for you if you have always wanted to learn how to manage or scale your company’s networks in the Google Cloud. It addresses firewalls, Virtual Private Cloud (VPC), subnets, and load balancing. What’s more, this program will also provide you with all the information you need to know about popular patterns used in designing networks, Cloud NAT, Cloud CDN, Cloud DNS, and steps involved in automation and deployment with Terraform or Deployment Manager.
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Google Cloud Certified - Professional Cloud Security Engineer Exam Sample Questions (Q308-Q313):NEW QUESTION # 308
Your company has deployed an artificial intelligence model in a central project. This model has a lot of sensitive intellectual property and must be kept strictly isolated from the internet. You must expose the model endpoint only to a defined list of projects in your organization. What should you do?
  • A. Create a central project to host Shared VPC networks that are provided to all other projects. Centrally administer all firewall rules in this project to grant access to the model.
  • B. Within the model project, create an external Application Load Balancer that points to the model endpoint. Create a Cloud Armor policy to restrict IP addresses to Google Cloud.B. Within the model project, create an internal Application Load Balancer that points to the model endpoint. Expose this load balancer with Private Service Connect to a configured list of projects.
  • C. Activate Private Google Access in both the model project and in each project that needs to connect to the model. Create a firewall policy to allow connectivity to Private Google Access addresses.
Answer: C
Explanation:
Comprehensive and Detailed Explanation From Exact Extract:
The requirements necessitate a private, cross-project service-to-service connection with explicit authorization-a capability perfectly addressed by Private Service Connect (PSC).
Internal Load Balancer: Ensures the service is isolated from the internet (Layer 7 Load Balancer for HTTP/S ML endpoint).
Private Service Connect (PSC): Allows a service (the model endpoint, exposed via the internal load balancer) in one VPC/project (producer) to be securely consumed by other VPCs/projects (consumers) using an internal IP address.
Defined List of Projects: PSC enables Explicit authorization, allowing the producer to define the allowed list of consumers that can establish a connection, directly meeting the granular restriction requirement.
Extracts:
"rivate Service Connect provides... Explicit authorization. Private Service Connect provides an authorization model that gives consumers and producers granular control." (Source 2.4)
"rivate Service Connect backends let Google Cloud load balancers send traffic through Private Service Connect to reach published services... Placing a load balancer in front of a managed service provides the consumer with more visibility and control..." (Source 2.4)
"ublish services by using Private Service Connect... Select the internal load balancer that hosts the service that you want to publish." (Source 2.3)

NEW QUESTION # 309
An employer wants to track how bonus compensations have changed over time to identify employee outliers and correct earning disparities. This task must be performed without exposing the sensitive compensation data for any individual and must be reversible to identify the outlier.
Which Cloud Data Loss Prevention API technique should you use to accomplish this?
  • A. CryptoHashConfig
  • B. CryptoReplaceFfxFpeConfig
  • C. Redaction
  • D. Generalization
Answer: D
Explanation:
By bucketing or generalizing, we achieve a reversible pseudonymised data that can still yield the required analysis. https://cloud.google.com/dlp/docs/concepts-bucketing

NEW QUESTION # 310
Your organization wants to protect its supply chain from attacks. You need to automatically scan your deployment pipeline for vulnerabilities and ensure only scanned and verified containers can be executed in your production environment. You want to minimize management overhead. What should you do?
  • A. Deploy all container images to a staging environment and use Container Threat Detection to detect malicious content before promoting them to production.
  • B. Review container images before deployment to production, checking for known vulnerabilities using a public vulnerability database. Use Grafeas and Kritis to prevent deployment of containers that haven't been built using your build pipeline.
  • C. Use Cloud Next Generation Firewall (Cloud NGFW) Enterprise with traffic inspection to restrict access to containerized applications in the production environment.
  • D. Integrate Artifact Registry vulnerability scanning and Binary Authorization into your CI/CD pipeline to ensure only verified images are deployed to production.
Answer: D
Explanation:
To secure a container supply chain, you need two things: Visibility (Scanning) and Enforcement (Policy).
Google Cloud provides Artifact Analysis (integrated with Artifact Registry) and Binary Authorization to solve this.
According to Google Cloud Documentation (Software Supply Chain Security):
"To secure your supply chain, use Artifact Registry with automatic vulnerability scanning to identify risks in your images. Then, use Binary Authorization to define a policy that requires images to be signed by trusted authorities (attestors) before they can be deployed to GKE or Cloud Run. This ensures that only images that have passed your security checks (like vulnerability scans) are allowed to run." How it works:
* Scanning: Every time an image is pushed to Artifact Registry, it is automatically scanned for CVEs.
* Attestation: A successful scan (e.g., no 'Critical' vulnerabilities) triggers a CI/CD step to "Sign" the image (create an attestation).
* Enforcement: The GKE admission controller (Binary Authorization) checks for this signature. If it's missing or invalid, the deployment is blocked.
Why other options are incorrect:
* A is incorrect: Container Threat Detection is for runtime (after it's already running). Supply chain security is about pre-deployment prevention.
* B is incorrect: While Grafeas/Kritis are the open-source foundations, Option D represents the managed Google Cloud services which "minimize management overhead."
* C is incorrect: Firewalls inspect network traffic, not the integrity or vulnerability status of the container image itself.
Reference:
Google Cloud Documentation: "Binary Authorization overview" (https://cloud.google.com/binary- authorization/docs/overview).
Google Cloud Documentation: "Vulnerability scanning in Artifact Registry" (https://cloud.google.com
/artifact-registry/docs/analysis).

NEW QUESTION # 311
You discovered that sensitive personally identifiable information (PII) is being ingested to your Google Cloud environment in the daily ETL process from an on-premises environment to your BigQuery datasets. You need to redact this data to obfuscate the PII, but need to re-identify it for data analytics purposes. Which components should you use in your solution? (Choose two.)
  • A. Cloud Data Loss Prevention with cryptographic hashing
  • B. Cloud Data Loss Prevention with deterministic encryption using AES-SIV
  • C. Secret Manager
  • D. Cloud Data Loss Prevention with automatic text redaction
  • E. Cloud Key Management Service
Answer: B,E
Explanation:
Explanation
B: you need KMS to store the CryptoKey
https://cloud.google.com/dlp/doc ... tifyTemplates#crypt E: for the de-identity you need to use CryptoReplaceFfxFpeConfig or CryptoDeterministicConfig
https://cloud.google.com/dlp/doc ... deterministicconfig
https://cloud.google.com/dlp/docs/deidentify-sensitive-data

NEW QUESTION # 312
You are in charge of creating a new Google Cloud organization for your company. Which two actions should you take when creating the super administrator accounts? (Choose two.)
  • A. Disable any Identity and Access Management (1AM) roles for super admin at the organization level in the Google Cloud Console.
  • B. Use a physical token to secure the super admin credentials with multi-factor authentication (MFA).
  • C. Provide non-privileged identities to the super admin users for their day-to-day activities.
  • D. Create an access level in the Google Admin console to prevent super admin from logging in to Google Cloud.
  • E. Use a private connection to create the super admin accounts to avoid sending your credentials over the Internet.
Answer: B,C
Explanation:
https://cloud.google.com/resourc ... admin_account_usage
- Use a security key or other physical authentication device to enforce two-step verification - Give super admins a separate account that requires a separate login

NEW QUESTION # 313
......
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