Winter Sale - Limited Time 65% Discount Offer - Ends in 0d 00h 00m 00s - Coupon code: top65certs

Google Professional-Cloud-Security-Engineer Exam With Confidence Using Practice Dumps

Exam Code:
Professional-Cloud-Security-Engineer
Exam Name:
Google Cloud Certified - Professional Cloud Security Engineer
Certification:
Vendor:
Questions:
318
Last Updated:
Feb 4, 2026
Exam Status:
Stable
Google Professional-Cloud-Security-Engineer

Professional-Cloud-Security-Engineer: Google Cloud Certified Exam 2025 Study Guide Pdf and Test Engine

Are you worried about passing the Google Professional-Cloud-Security-Engineer (Google Cloud Certified - Professional Cloud Security Engineer) exam? Download the most recent Google Professional-Cloud-Security-Engineer braindumps with answers that are 100% real. After downloading the Google Professional-Cloud-Security-Engineer exam dumps training , you can receive 99 days of free updates, making this website one of the best options to save additional money. In order to help you prepare for the Google Professional-Cloud-Security-Engineer exam questions and verified answers by IT certified experts, CertsTopics has put together a complete collection of dumps questions and answers. To help you prepare and pass the Google Professional-Cloud-Security-Engineer exam on your first attempt, we have compiled actual exam questions and their answers. 

Our (Google Cloud Certified - Professional Cloud Security Engineer) Study Materials are designed to meet the needs of thousands of candidates globally. A free sample of the CompTIA Professional-Cloud-Security-Engineer test is available at CertsTopics. Before purchasing it, you can also see the Google Professional-Cloud-Security-Engineer practice exam demo.

Google Cloud Certified - Professional Cloud Security Engineer Questions and Answers

Question 1

A business unit at a multinational corporation signs up for GCP and starts moving workloads into GCP. The business unit creates a Cloud Identity domain with an organizational resource that has hundreds of projects.

Your team becomes aware of this and wants to take over managing permissions and auditing the domain resources.

Which type of access should your team grant to meet this requirement?

Options:

A.

Organization Administrator

B.

Security Reviewer

C.

Organization Role Administrator

D.

Organization Policy Administrator

Buy Now
Question 2

A customer terminates an engineer and needs to make sure the engineer's Google account is automatically deprovisioned.

What should the customer do?

Options:

A.

Use the Cloud SDK with their directory service to remove their IAM permissions in Cloud Identity.

B.

Use the Cloud SDK with their directory service to provision and deprovision users from Cloud Identity.

C.

Configure Cloud Directory Sync with their directory service to provision and deprovision users from Cloud Identity.

D.

Configure Cloud Directory Sync with their directory service to remove their IAM permissions in Cloud Identity.

Question 3

All logs in your organization are aggregated into a centralized Google Cloud logging project for analysis and long-term retention.4 While most of the log data can be viewed by operations teams, there are specific sensitive fields (i.e., protoPayload.authenticationinfo.principalEmail) that contain identifiable information that should be restricted only to security teams. You need to implement a solution that allows different teams to view their respective application logs in the centralized logging project. It must also restrict access to specific sensitive fields within those logs to only a designated security group. Your solution must ensure that other fields in the same log entry remain visible to other authorized groups. What should you do?

Options:

A.

Configure field-level access in Cloud Logging by defining data access policies that specify sensitive fields and the authorized principals.

B.

Use Cloud IAM custom roles with specific permissions on logging.privateLogEntries.list. Define field-level access within the custom role's conditions.

C.

Implement a log sink to exclude sensitive fields before logs are sent to the centralized logging project. Create separate sinks for sensitive data.

D.

Create a BigQuery authorized view on the exported log sink to filter out the sensitive fields based on user groups.