GOOGLE PROFESSIONAL-CLOUD-SECURITY-ENGINEER LATEST EXAM EXPERIENCE - PROFESSIONAL-CLOUD-SECURITY-ENGINEER PASSING SCORE

Google Professional-Cloud-Security-Engineer Latest Exam Experience - Professional-Cloud-Security-Engineer Passing Score

Google Professional-Cloud-Security-Engineer Latest Exam Experience - Professional-Cloud-Security-Engineer Passing Score

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Google Professional-Cloud-Security-Engineer Exam is a comprehensive certification test that assesses a candidate's knowledge and skills in securing Google Cloud Platform (GCP) systems and infrastructure. As a Google Cloud Certified - Professional Cloud Security Engineer, an individual can authenticate their expertise in designing, implementing, and managing cloud security solutions for businesses and organizations.

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Achieving the Google Professional-Cloud-Security-Engineer certification demonstrates that you have the knowledge and skills to secure and manage cloud infrastructure and services on GCP. It is a valuable credential for cloud security professionals seeking to advance their careers and demonstrate their expertise in securing cloud environments. Google Cloud Certified - Professional Cloud Security Engineer Exam certification also provides access to exclusive Google Cloud resources and opportunities to connect with other certified professionals in the field.

Google Professional-Cloud-Security-Engineer Exam is a certification exam that tests the knowledge and skills of security engineers who are responsible for implementing and maintaining security in Google Cloud Platform. It is designed for professionals who have experience in the field of cloud security and want to validate their skills and knowledge.

Google Cloud Certified - Professional Cloud Security Engineer Exam Sample Questions (Q78-Q83):

NEW QUESTION # 78
You are the security admin of your company. Your development team creates multiple GCP projects under the "implementation" folder for several dev, staging, and production workloads. You want to prevent data exfiltration by malicious insiders or compromised code by setting up a security perimeter. However, you do not want to restrict communication between the projects.
What should you do?

  • A. Use an infrastructure-as-code software tool to set up a single service perimeter and to deploy a Cloud Function that monitors the "implementation" folder via Stackdriver and Cloud Pub/Sub. When the function notices that a new project is added to the folder, it executes Terraform to add the new project to the associated perimeter.
  • B. Use a Shared VPC to enable communication between all projects, and use firewall rules to prevent data exfiltration.
  • C. Create access levels in Access Context Manager to prevent data exfiltration, and use a shared VPC for communication between projects.
  • D. Use an infrastructure-as-code software tool to set up three different service perimeters for dev, staging, and prod and to deploy a Cloud Function that monitors the "implementation" folder via Stackdriver and Cloud Pub/Sub. When the function notices that a new project is added to the folder, it executes Terraform to add the new project to the respective perimeter.

Answer: A

Explanation:
https://cloud.google.com/vpc-service-controls/docs/overview#benefits
https://github.com/terraform-google-modules/terraform-google-vpc-service-controls/tree/master/examples/automatic_folder


NEW QUESTION # 79
A retail customer allows users to upload comments and product reviews. The customer needs to make sure the text does not include sensitive data before the comments or reviews are published.
Which Google Cloud Service should be used to achieve this?

  • A. Cloud Data Loss Prevention API
  • B. BigQuery
  • C. Cloud Security Scanner
  • D. Cloud Key Management Service

Answer: A

Explanation:
To ensure user-uploaded comments and product reviews do not include sensitive data before publication, use the Cloud Data Loss Prevention (DLP) API.
* Enable DLP API:
* Go to the Cloud Console and navigate to APIs & Services > Library.
* Search for "Data Loss Prevention API" and enable it.
* Configure DLP API:
* Create an inspection template specifying the types of sensitive data to detect.
* Set up de-identification templates if you want to redact or mask sensitive data.
* Implement DLP in Application:
* Use the Google Cloud DLP Client Library for the desired programming language.
* Send the text data to the DLP API for inspection before saving or publishing.
from google.cloud import dlp_v2 dlp_client = dlp_v2.DlpServiceClient() parent = f"projects/{project_id}" item = {"value": "User comment text here"} inspect_config = {"info_types": [{"name": "PERSON_NAME"},
{"name": "CREDIT_CARD_NUMBER"}]} response = dlp_client.inspect_content(parent=parent, inspect_config=inspect_config, item=item) References:
* Cloud Data Loss Prevention API Documentation
* DLP API Client Libraries


NEW QUESTION # 80
You need to centralize your team's logs for production projects. You want your team to be able to search and analyze the logs using Logs Explorer. What should you do?

  • A. Use Logs Explorer at the organization level and filter for production project logs.
  • B. Create an aggregate org sink at the parent folder of the production projects, and set the destination to a logs bucket.
  • C. Create an aggregate org sink at the parent folder of the production projects, and set the destination to a Cloud Storage bucket.
  • D. Enable Cloud Monitoring workspace, and add the production projects to be monitored.

Answer: B

Explanation:
https://cloud.google.com/logging/docs/export/aggregated_sinks#supported-destinations You can use aggregated sinks to route logs within or between the same organizations and folders to the following destinations:
- Another Cloud Logging bucket: Log entries held in Cloud Logging log buckets.


NEW QUESTION # 81
Your organization develops software involved in many open source projects and is concerned about software supply chain threats You need to deliver provenance for the build to demonstrate the software is untampered.
What should you do?

  • A. * 1. Hire an external auditor to review and provide provenance
    * 2. Define the scope and conditions.
    * 3. Get support from the Security department or representative.
    * 4. Publish the attestation to your public web page.
  • B. * 1. Review the software process.
    * 2. Generate private and public key pairs and use Pretty Good Privacy (PGP) protocols to sign the output software artifacts together with a file containing the address of your enterprise and point of contact.
    * 3. Publish the PGP signed attestation to your public web page.
  • C. * 1, Publish the software code on GitHub as open source.
    * 2. Establish a bug bounty program, and encourage the open source community to review, report, and fix the vulnerabilities.
  • D. * 1- Generate Supply Chain Levels for Software Artifacts (SLSA) level 3 assurance by using Cloud Build.
    * 2. View the build provenance in the Security insights side panel within the Google Cloud console.

Answer: D

Explanation:
* Generate Supply Chain Levels for Software Artifacts (SLSA) level 3 assurance by using Cloud Build: SLSA is a framework for ensuring the integrity of software artifacts. By using Cloud Build, you can automate the build process and generate SLSA level 3 compliance, which includes verifiable build steps and provenance.
* View the build provenance in the Security insights side panel within the Google Cloud console:
The build provenance provides a detailed history of how the software was built, including the source code, build process, and any dependencies. This information is accessible through the Security insights side panel in the Google Cloud console, allowing you to verify the integrity and authenticity of your software artifacts.
References
* Supply Chain Levels for Software Artifacts (SLSA) documentation
* Cloud Build documentation
* Security insights in Google Cloud console


NEW QUESTION # 82
You recently joined the networking team supporting your company's Google Cloud implementation. You are tasked with familiarizing yourself with the firewall rules configuration and providing recommendations based on your networking and Google Cloud experience. What product should you recommend to detect firewall rules that are overlapped by attributes from other firewall rules with higher or equal priority?

  • A. VPC Flow Logs
  • B. Firewall Rules Logging
  • C. Security Command Center
  • D. Firewall Insights

Answer: D

Explanation:
Explanation
https://cloud.google.com/network-intelligence-center/docs/firewall-insights/concepts/overview#shadowed-firewa Firewall Insights analyzes your firewall rules to detect firewall rules that are shadowed by other rules. A shadowed rule is a firewall rule that has all of its relevant attributes, such as its IP address and port ranges, overlapped by attributes from one or more rules with higher or equal priority, called shadowing rules.


NEW QUESTION # 83
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