Professional-Cloud-Security-Engineer無料試験、Professional-Cloud-Security-Engineer問題例

さらに、Pass4Test Professional-Cloud-Security-Engineerダンプの一部が現在無料で提供されています：https://drive.google.com/open?id=1Q_pwfbrOycUj4k0GfX4AdSe0d2BXxik0

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この試験は、アクセスコントロール、ネットワークセキュリティ、データ保護、コンプライアンス、インシデント管理など、クラウドセキュリティに関連する幅広いトピックをカバーしています。それは、クラウド環境で安全なソリューションを設計し、実装できる能力、さらにはクラウドセキュリティのベストプラクティスと業界標準に関する知識をテストします。

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この試験は、セキュリティ管理、コンプライアンス、データ保護、ネットワークセキュリティ、インシデント管理など、広範なトピックをカバーしています。この試験は、候補者がベストプラクティスと業界標準をクラウドベースのインフラストラクチャのセキュリティに適用できる能力をテストするように設計されています。また、この試験は、顧客、規制当局、および内部ステークホルダーなど、さまざまなステークホルダーの要件を満たすセキュリティソリューションを設計および実装できる能力をテストするように設計されています。

Google Cloud Certified - Professional Cloud Security Engineer Exam 認定 Professional-Cloud-Security-Engineer 試験問題 (Q82-Q87):

質問 # 82
Your organization wants to be General Data Protection Regulation (GDPR) compliant You want to ensure that your DevOps teams can only create Google Cloud resources in the Europe regions.
What should you do?

正解：D

解説：
Explanation
https://cloud.google.com/resource-manager/docs/organization-policy/defining-locations


質問 # 83
You are working with a client who plans to migrate their data to Google Cloud. You are responsible for recommending an encryption service to manage their encrypted keys. You have the following requirements:
* The master key must be rotated at least once every 45 days.
* The solution that stores the master key must be FIPS 140-2 Level 3 validated.
* The master key must be stored in multiple regions within the US for redundancy.
Which solution meets these requirements?

正解：B

解説：
Explanation
https://cloud.google.com/docs/security/key-management-deep-dive https://cloud.google.com/kms/docs/faq


質問 # 84
Your company wants to determine what products they can build to help customers improve their credit scores depending on their age range. To achieve this, you need to join user information in the company's banking app with customers' credit score data received from a third party. While using this raw data will allow you to complete this task, it exposes sensitive data, which could be propagated into new systems.
This risk needs to be addressed using de-identification and tokenization with Cloud Data Loss Prevention while maintaining the referential integrity across the database. Which cryptographic token format should you use to meet these requirements?

正解：B

解説：
This encryption method is reversible, which helps to maintain referential integrity across your database and has no character-set limitations.
https://cloud.google.com/blog/products/identity-security/take-charge-of-your-data-how- tokenization-makes-data-usable-without-sacrificing-privacy


質問 # 85
Your company has deployed an artificial intelligence model in a central project. As this model has a lot of sensitive intellectual property and must be kept strictly isolated from the internet, you must expose the model endpoint only to a defined list of projects in your organization. What should you do?

正解：D

解説：
The problem requires exposing a sensitive AI model endpoint internally (strictly isolated from the internet) to a defined list of projects within the organization.
Internal Exposure and Isolation: An "internal Application Load Balancer" is suitable for exposing services within your VPC network, ensuring they are not accessible from the internet.
Private Service Connect (PSC): This is the key technology for securely and privately exposing services from one VPC network (the service producer, where the model is) to other VPC networks (the service consumers, the defined list of projects) within the same or different organizations. PSC allows consumers to access services using internal IP addresses, with traffic remaining on Google's private network. You can configure a service attachment that points to the internal load balancer, and then permit specific consumer projects to connect to this service attachment.Extract Reference: "Private Service Connect is a capability of Google Cloud networking that allows consumers to access managed services privately from inside their VPC network. Similarly, it allows managed service producers to host these services in their own separate VPC networks and offer a private connection to their consumers." (Google Cloud Documentation: "Private Service Connect | VPC" - https://cloud.google.com/vpc/docs/private-service-connect) Extract Reference: "Private Service Connect endpoints are internal IP addresses in a consumer VPC network that can be directly accessed by clients in that network. Endpoints are created by deploying a forwarding rule that references a service attachment or a bundle of Google APIs." (Google Cloud Documentation: "About Private Service Connect | VPC" - https://cloud.google.com/vpc/docs/private-service-connect) Extract Reference: "Private Service Connect can be used to access managed services that are owned by Google, third-party software as a service (SaaS) companies, or other teams within the consumer's own company. Both published services and Google APIs can be targets of Private Service Connect." (Google Cloud Documentation: "About Private Service Connect | VPC" - https://cloud.google.com/vpc/docs/private- service-connect) Let's evaluate the other options:
A). Shared VPC and central firewall rules: While Shared VPC centralizes network management, it does not provide a direct managed service exposure mechanism like PSC for a model endpoint to specific projects. It's more about sharing subnets and network resources. Administering all firewall rules centrally would also not meet the need for exposing only this specific model to a defined list of projects in a managed, private service pattern.
B). Activate Private Google Access (PGA): Private Google Access allows VMs without external IP addresses to access Google APIs and services (like Cloud Storage, BigQuery, etc.) privately from within their VPC network. It's for consuming Google services, not for exposing custom services hosted in a Google Cloud project to other projects.
D). External Application Load Balancer + Cloud Armor: An "external Application Load Balancer" exposes the service to the internet. While Cloud Armor can restrict access based on IP addresses, it still involves internet exposure, which contradicts the "strictly isolated from the internet" requirement. Restricting to "Google Cloud IP addresses" doesn't guarantee access only to a defined list of projects and still exposes the service externally.
Therefore, creating an internal Application Load Balancer and exposing it via Private Service Connect is the most suitable and secure solution for this scenario.


質問 # 86
Users are reporting an outage on your public-facing application that is hosted on Compute Engine. You suspect that a recent change to your firewall rules is responsible. You need to test whether your firewall rules are working properly. What should you do?

正解：C


質問 # 87
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Professional-Cloud-Security-Engineer問題例: https://www.pass4test.jp/Professional-Cloud-Security-Engineer.html

さらに、Pass4Test Professional-Cloud-Security-Engineerダンプの一部が現在無料で提供されています：https://drive.google.com/open?id=1Q_pwfbrOycUj4k0GfX4AdSe0d2BXxik0