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[Hardware] Professional-Cloud-Security-Engineer Pass Exam | Professional-Cloud-Security-Eng

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【Hardware】 Professional-Cloud-Security-Engineer Pass Exam | Professional-Cloud-Security-Eng

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Google Professional-Cloud-Security-Engineer (Google Cloud Certified - Professional Cloud Security Engineer) Certification Exam is a rigorous and comprehensive assessment designed to test the skills and knowledge of individuals who are interested in becoming certified Google cloud security professionals. Google Cloud Certified - Professional Cloud Security Engineer Exam certification exam is created by Google Cloud, which is one of the leading providers of cloud computing services in the world.
Preparing for the Google Professional-Cloud-Security-Engineer Exam requires dedicated study time, practice tests, and hands-on experience working with Google Cloud Platform. Candidates can benefit from a comprehensive understanding of Google Cloud Platform, as well as familiarity with other cloud platforms and security frameworks. Google offers training resources and certification preparation guides to help candidates prepare for the exam, including on-demand courses, instructor-led training, and certification preparation workshops.
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Career ProspectsThe specialists with the Google Professional Cloud Security Engineer certificate can take up various positions and achieve success in the industry. Thus, they can go for the following options: a Cloud Security Engineer, a Security Engineer, a Virtual Infrastructure Administrator, a Cloud Support Engineer, and a Cloud Security Operations Engineer. The salary outlook for these job roles is an average of $102,000 per annum.
Google Cloud Certified - Professional Cloud Security Engineer Exam Sample Questions (Q20-Q25):NEW QUESTION # 20
A customer wants to use Cloud Identity as their primary IdP. The customer wants to use other non-GCP SaaS products for CRM, messaging, and customer ticketing management. The customer also wants to improve employee experience with Single Sign-On (SSO) capabilities to securely access GCP and non-GCP applications. Only authorized individuals should be able to access these third-party applications. What action should the customer take to meet these requirements?
  • A. Remove the employee from Cloud Identity, set the correct license for the individuals, and resync them to Cloud Identity for the changes to take effect.
  • B. Remove the individuals from the third-party applications, add the license to Cloud Identity, and resync the individuals back to the third-party applications.
  • C. Copy user personas from Cloud Identity to all third-party applications for the domain.
  • D. Configure third-party applications to federate authentication and authorization to the GCP IdP.
Answer: D
Explanation:
A is not correct because Users should continue to be in Cloud Identity as central source of truth.
B is correct because cloud identity will serve as SAML auth for third party apps.
C is not correct because it doesn't help to automate user provisioning.
D is not correct because it doesn't help to automate user provisioning and deprovisioning on a continual basis.
https://cloud.google.com/identity/solutions/enable-sso

NEW QUESTION # 21
You want to update your existing VPC Service Controls perimeter with a new access level. You need to avoid breaking the existing perimeter with this change, and ensure the least disruptions to users while minimizing overhead. What should you do?
  • A. Update your perimeter with a new access level that never matches. Update the new access level to match your desired state one condition at a time to avoid being overly permissive.
  • B. Enable the dry run mode on your perimeter. Add your new access level to the perimeter dry run configuration. Update the perimeter configuration after the access level has been vetted.
  • C. Create an exact replica of your existing perimeter. Add your new access level to the replica. Update the original perimeter after the access level has been vetted.
  • D. Enable the dry run mode on your perimeter. Add your new access level to the perimeter configuration.
    Update the perimeter configuration after the access level has been vetted.
Answer: B
Explanation:
Enable Dry Run Mode: Start by enabling the dry run mode for your VPC Service Controls perimeter. This mode allows you to test changes without actually enforcing them, thus preventing any disruption to your current setup.
Add Access Level: Add your new access level to the dry run configuration. This way, you can monitor how the new access level would behave and interact with your existing setup without any real impact.
Vetting Process: Carefully vet the new access level by analyzing logs and monitoring the behavior in the dry run mode. Ensure that the new configuration meets your security and operational requirements.
Update Perimeter: Once you are confident that the new access level will not disrupt existing services and meets all requirements, update the actual perimeter configuration with the new access level. This approach minimizes risk by allowing you to test changes before they take effect, ensuring seamless updates with minimal disruption. References:
Google Cloud - Configuring VPC Service Controls
Google Cloud - Using Dry Run Mode

NEW QUESTION # 22
You have been tasked with configuring Security Command Center for your organization's Google Cloud environment. Your security team needs to receive alerts of potential crypto mining in the organization's compute environment and alerts for common Google Cloud misconfigurations that impact security. Which Security Command Center features should you use to configure these alerts? (Choose two.)
  • A. Google Cloud Armor
  • B. Cloud Data Loss Prevention
  • C. Container Threat Detection
  • D. Security Health Analytics
  • E. Event Threat Detection
Answer: D,E
Explanation:
https://cloud.google.com/securit ... -detection-overview Event Threat Detection is a built-in service for the Security Command Center Premium tier that continuously monitors your organization and identifies threats within your systems in near-real time. https://cloud.google.com/securit ... ty-health-analytics

NEW QUESTION # 23
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. Enable the VM Manager and ensure the corresponding Google Compute Engine instances are added.
  • B. Implement a firewall rule that prevents Secure Shell access to the corresponding Google Compute Engine instances by using tags.
  • C. Assign the AI Notebooks Runner and AI Notebooks Viewer roles to the users of the AI Workbench Instances.
  • D. Enforce the disableRootAccess and requireAutoUpgradeSchedule organization policies for newly deployed instances.
Answer: D
Explanation:
To ensure that Vertex AI Workbench Instances are automatically kept up-to-date and that users cannot alter operating system settings, implementing specific organization policies is essential.
* Option A: Enabling VM Manager and adding Compute Engine instances assists in managing and monitoring VM instances but does not enforce automatic updates or restrict user modifications to the operating system.
* Option B: Enforcing the disableRootAccess organization policy prevents users from gaining root access, thereby restricting unauthorized changes to the operating system. Additionally, the requireAutoUpgradeSchedule policy ensures that instances are automatically updated according to a defined schedule. Together, these policies maintain system integrity and compliance with update requirements.
* Option C: Assigning AI Notebooks Runner and AI Notebooks Viewer roles controls user permissions related to running and viewing notebooks but does not directly influence operating system settings or update mechanisms.
* Option D: Implementing firewall rules to prevent SSH access limits direct access to instances but does not ensure automatic updates or prevent alterations through other means.
Therefore, Option B is the most appropriate action, as it directly addresses both the enforcement of automatic updates and the prevention of unauthorized operating system modifications.
References:
* Organization Policy Constraints
* VM Manager Overview

NEW QUESTION # 24
Your organization s customers must scan and upload the contract and their driver license into a web portal in Cloud Storage. You must remove all personally identifiable information (Pll) from files that are older than 12 months. Also you must archive the anonymized files for retention purposes.
What should you do?
  • A. Create a Cloud Data Loss Prevention (DLP) inspection job that de-identifies Pll in files created more than 12 months ago and archives them to another Cloud Storage bucket. Delete the original files.
  • B. Configure the Autoclass feature of the Cloud Storage bucket to de-identify Pll Archive the files that are older than 12 months Delete the original files.
  • C. Set a time to live (TTL) of 12 months for the files in the Cloud Storage bucket that removes PH and moves the files to the archive storage class.
  • D. Schedule a Cloud Key Management Service (KMS) rotation period of 12 months for the encryption keys of the Cloud Storage files containing Pll to de-identify them Delete the original keys.
Answer: A
Explanation:
To remove personally identifiable information (PII) from files older than 12 months and archive the anonymized files for retention purposes, you can use Google Cloud Data Loss Prevention (DLP).
* Create a Cloud DLP Inspection Job:
* Go to the Cloud DLP section in the Google Cloud Console.
* Create an inspection job that scans files in your Cloud Storage bucket for PII.
* Configure the job to only target files that are older than 12 months.
* Configure De-identification:
* In the inspection job settings, configure de-identification actions to remove or obfuscate PII in the files.
* Specify the transformation techniques appropriate for your data, such as masking or tokenization.
* Archive Anonymized Files:
* Set up the job to move the de-identified files to another Cloud Storage bucket designated for archival.
* Ensure this bucket has the appropriate retention policies and access controls in place.
* Delete Original Files:
* After de-identification and archiving, configure the job to delete the original files from the source bucket.
This approach ensures that PII is effectively removed from old files and that the anonymized data is securely archived, maintaining compliance with data retention and privacy policies.
Cloud Data Loss Prevention Documentation
Setting Up DLP Jobs
Cloud Storage Documentation

NEW QUESTION # 25
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