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Free PROFESSIONAL CLOUD SECURITY ENGINEER Exam Braindumps
Professional Cloud Security Engineer Questions 91–95 (page: 20)

Updated On: 10-Feb-2026
Page 20 of 74
PDF with 376 Questions

You need to provide a corporate user account in Google Cloud for each of your developers and operational staff who need direct access to GCP resources. Corporate policy requires you to maintain the user identity in a third-party identity management provider and leverage single sign-on. You learn that a significant number of users are using their corporate domain email addresses for personal Google accounts, and you need to follow Google recommended practices to convert existing unmanaged users to managed accounts.

Which two actions should you take? (Choose two.)

  1. Use Google Cloud Directory Sync to synchronize your local identity management system to Cloud Identity.
  2. Use the Google Admin console to view which managed users are using a personal account for their recovery email.
  3. Add users to your managed Google account and force users to change the email addresses associated with their personal accounts.
  4. Use the Transfer Tool for Unmanaged Users (TTUU) to find users with conflicting accounts and ask them to transfer their personal Google accounts.
  5. Send an email to all of your employees and ask those users with corporate email addresses for personal Google accounts to delete the personal accounts immediately.

Answer(s): A,D



You are on your company's development team. You noticed that your web application hosted in staging on GKE dynamically includes user data in web pages without first properly validating the inputted data. This could allow an attacker to execute gibberish commands and display arbitrary content in a victim user's browser in a production environment.

How should you prevent and fix this vulnerability?

  1. Use Cloud IAP based on IP address or end-user device attributes to prevent and fix the vulnerability.
  2. Set up an HTTPS load balancer, and then use Cloud Armor for the production environment to prevent the potential XSS attack.
  3. Use Web Security Scanner to validate the usage of an outdated library in the code, and then use a secured version of the included library.
  4. Use Web Security Scanner in staging to simulate an XSS injection attack, and then use a templating system that supports contextual auto-escaping.

Answer(s): D


Reference:

https://cloud.google.com/security-scanner/docs/remediate-findings



You are part of a security team that wants to ensure that a Cloud Storage bucket in Project A can only be readable from Project B. You also want to ensure that data in the Cloud Storage bucket cannot be accessed from or copied to Cloud Storage buckets outside the network, even if the user has the correct credentials.

What should you do?

  1. Enable VPC Service Controls, create a perimeter with Project A and B, and include Cloud Storage service.
  2. Enable Domain Restricted Sharing Organization Policy and Bucket Policy Only on the Cloud Storage bucket.
  3. Enable Private Access in Project A and B networks with strict firewall rules to allow communication between the networks.
  4. Enable VPC Peering between Project A and B networks with strict firewall rules to allow communication between the networks.

Answer(s): A


Reference:

https://cloud.google.com/resource-manager/docs/organization-policy/restricting-domains



You are responsible for protecting highly sensitive data in BigQuery. Your operations teams need access to this data, but given privacy regulations, you want to ensure that they cannot read the sensitive fields such as email addresses and first names. These specific sensitive fields should only be available on a need-to-know basis to the Human Resources team.
What should you do?

  1. Perform data masking with the Cloud Data Loss Prevention API, and store that data in BigQuery for later use.
  2. Perform data redaction with the Cloud Data Loss Prevention API, and store that data in BigQuery for later use.
  3. Perform data inspection with the Cloud Data Loss Prevention API, and store that data in BigQuery for later use.
  4. Perform tokenization for Pseudonymization with the Cloud Data Loss Prevention API, and store that data in BigQuery for later use.

Answer(s): D


Reference:

https://towardsdatascience.com/bigquery-pii-and-cloud-data-loss-prevention-dlp-take-it-to-the-next- level-with-data-catalog-c47c31bcf677



You are a Security Administrator at your organization. You need to restrict service account creation capability within production environments. You want to accomplish this centrally across the organization.
What should you do?

  1. Use Identity and Access Management (IAM) to restrict access of all users and service accounts that have access to the production environment.
  2. Use organization policy constraints/iam.disableServiceAccountKeyCreation boolean to disable the creation of new service accounts.
  3. Use organization policy constraints/iam.disableServiceAccountKeyUpload boolean to disable the creation of new service accounts.
  4. Use organization policy constraints/iam.disableServiceAccountCreation boolean to disable the creation of new service accounts.

Answer(s): D


Reference:

https://cloud.google.com/resource-manager/docs/organization-policy/restricting-service-accounts



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