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Most Recent Google Professional-Cloud-Security-Engineer Exam Dumps

 

Prepare for the Google Professional Cloud Security Engineer exam with our extensive collection of questions and answers. These practice Q&A are updated according to the latest syllabus, providing you with the tools needed to review and test your knowledge.

QA4Exam focus on the latest syllabus and exam objectives, our practice Q&A are designed to help you identify key topics and solidify your understanding. By focusing on the core curriculum, These Questions & Answers helps you cover all the essential topics, ensuring you're well-prepared for every section of the exam. Each question comes with a detailed explanation, offering valuable insights and helping you to learn from your mistakes. Whether you're looking to assess your progress or dive deeper into complex topics, our updated Q&A will provide the support you need to confidently approach the Google Professional-Cloud-Security-Engineer exam and achieve success.

The questions for Professional-Cloud-Security-Engineer were last updated on May 4, 2025.
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Question No. 1

You manage a mission-critical workload for your organization, which is in a highly regulated industry The workload uses Compute Engine VMs to analyze and process the sensitive data after it is uploaded to Cloud Storage from the endpomt computers. Your compliance team has detected that this workload does not meet the data protection requirements for sensitive dat

a. You need to meet these requirements;

* Manage the data encryption key (DEK) outside the Google Cloud boundary.

* Maintain full control of encryption keys through a third-party provider.

* Encrypt the sensitive data before uploading it to Cloud Storage

* Decrypt the sensitive data during processing in the Compute Engine VMs

* Encrypt the sensitive data in memory while in use in the Compute Engine VMs

What should you do?

Choose 2 answers

Show Answer Hide Answer
Question No. 2

Your company's users access data in a BigQuery table. You want to ensure they can only access the data during working hours.

What should you do?

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Correct Answer: A

o ensure that users can only access the data in a BigQuery table during working hours, you can assign the BigQuery Data Viewer role with an IAM condition that specifies the allowed access times. This method leverages IAM Conditions, which allow you to define and enforce time-based access policies. Here's how to do it:

Identify the BigQuery Table: Determine which BigQuery table(s) require restricted access.

Create an IAM Policy with Conditions: Define an IAM policy that includes a condition for time-based access. You can do this using the Google Cloud Console, gcloud command-line tool, or directly editing the IAM policy JSON.

Specify Working Hours: In the IAM condition, specify the time frame during which access is allowed. For example, you can set access to be allowed from 9 AM to 5 PM on weekdays.

Assign the Role with Conditions: Apply the policy to the users or groups who need access. Ensure that the condition is correctly attached to the BigQuery Data Viewer role.

Example using gcloud:

gcloud projects add-iam-policy-binding [PROJECT_ID] \

--member=user:[USER_EMAIL] \

--role=roles/bigquery.dataViewer \

--condition=expression='(request.time.getFullYear() == 2024) && (request.time.getDayOfWeek() in [1, 2, 3, 4, 5]) && (request.time.getHours() >= 9) && (request.time.getHours() < 17)',title='Working hours condition',description='Access limited to working hours'


Google Cloud IAM Conditions

Google Cloud BigQuery IAM Roles

Question No. 3

A company is running workloads in a dedicated server room. They must only be accessed from within the private company network. You need to connect to these workloads from Compute Engine instances within a Google Cloud Platform project.

Which two approaches can you take to meet the requirements? (Choose two.)

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Correct Answer: A, C

To connect Compute Engine instances within a Google Cloud Platform project to workloads running in a dedicated server room that can only be accessed from within the private company network, you can use the following approaches:

Cloud VPN: Cloud VPN securely connects your on-premises network to your Google Cloud Virtual Private Cloud (VPC) network through an IPsec VPN connection. This enables secure communication between your GCP instances and your on-premises workloads over the internet.

Cloud Interconnect: Cloud Interconnect provides direct physical connections between your on-premises network and Google's network. It offers higher bandwidth and lower latency compared to Cloud VPN, making it suitable for workloads that require fast and reliable connectivity.

Both Cloud VPN and Cloud Interconnect allow you to securely connect your on-premises environments to Google Cloud, ensuring that the workloads remain within the private company network.


Cloud VPN Overview

Cloud Interconnect Overview

Question No. 4

Your organization operates Virtual Machines (VMs) with only private IPs in the Virtual Private Cloud (VPC) with internet access through Cloud NAT Everyday, you must patch all VMs with critical OS updates and provide summary reports

What should you do?

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Correct Answer: B

VM Manager is a suite of tools that can be used to manage operating systems for large virtual machine (VM) fleets running Windows and Linux on Compute Engine. It helps drive efficiency through automation and reduces the operational burden of maintaining these VM fleets. VM Manager includes several services such as OS patch management, OS inventory management, and OS configuration management. By using VM Manager, you can apply patches, collect operating system information, and install, remove, or auto-update software packages. The suite provides a high level of control and automation for managing large VM fleets on Google Cloud.

https://cloud.google.com/compute/docs/vm-manager


Question No. 5

You are working with a client that is concerned about control of their encryption keys for sensitive dat

a. The client does not want to store encryption keys at rest in the same cloud service provider (CSP) as the data that the keys are encrypting. Which Google Cloud encryption solutions should you recommend to this client? (Choose two.)

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Correct Answer: A, D

For a client concerned about the control of their encryption keys and not wanting to store these keys within the same cloud service provider (CSP) as the data, the following solutions are suitable:

Customer-supplied encryption keys (A):

With customer-supplied encryption keys, clients manage their own encryption keys outside of Google Cloud and supply them to encrypt and decrypt data. This ensures that the keys are not stored in Google Cloud, providing full control over the key management process.

Cloud External Key Manager (D):

Cloud External Key Manager (EKM) allows clients to integrate an external key management system (KMS) with Google Cloud services. This setup enables the client to keep their encryption keys outside Google Cloud while still allowing the data to be encrypted and decrypted within Google Cloud services. This method offers an additional layer of security and control over the encryption keys.

These options provide robust solutions for clients requiring external key management and enhanced control over their encryption processes.


Customer-Supplied Encryption Keys

Cloud External Key Manager

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