Professional-Cloud-Security-Engineer真実試験 & Professional-Cloud-Security-Engineer試験過去問

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プロフェッショナル・クラウド・セキュリティ・エンジニア認定は、業界で高く評価され、認定を受けた個人に新しいキャリアチャンスを開くことができます。この認定は、候補者がGCP環境でクラウドインフラストラクチャとデータを安全に保護するために必要な知識とスキルを持っていることを証明します。さらに、この認定は、候補者が業界基準とベストプラクティスを満たす安全なクラウドソリューションを設計・実装する能力も検証します。総じて、プロフェッショナル・クラウド・セキュリティ・エンジニア認定は、GCPを使用するセキュリティ専門家にとって貴重な資産です。

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Google Cloud Certified - Professional Cloud Security Engineer Exam 認定 Professional-Cloud-Security-Engineer 試験問題 (Q269-Q274):

質問 # 269
You want to prevent users from accidentally deleting a Shared VPC host project. Which organization-level policy constraint should you enable?

A. compute.sharedReservationsOwnerProjects
B. compute.restrictSharedVpcSubnetworks
C. compute.restrictXpnProjectLienRemoval
D. compute.restrictSharedVpcHostProjects

正解：C

解説：
* Enable the compute.restrictXpnProjectLienRemoval organization-level policy constraint:
* This constraint prevents users from removing liens from Shared VPC host projects.
* By enabling this constraint, you ensure that the Shared VPC host project cannot be accidentally deleted, as liens prevent deletion without proper authorization.
* Apply this constraint via the Google Cloud Console or using the gcloud command-line tool.
References:
* Organization Policy Constraints
* Shared VPC

質問 # 270
Your DevOps team uses Packer to build Compute Engine images by using this process:
1 Create an ephemeral Compute Engine VM.
2 Copy a binary from a Cloud Storage bucket to the VM's file system.
3 Update the VM's package manager.
4 Install external packages from the internet onto the VM.
Your security team just enabled the organizational policy. consrraints/compure.vnExtemallpAccess. to restrict the usage of public IP Addresses on VMs. In response your DevOps team updated their scripts to remove public IP addresses on the Compute Engine VMs however the build pipeline is failing due to connectivity issues.
What should you do?
Choose 2 answers

A. Update the VPC routes to allow traffic to and from the internet.
B. Provision an HTTP load balancer with the VM in an unmanaged instance group to allow inbound connections from the internet to your VM.
C. Provision a Cloud NAT instance in the same VPC and region as the Compute Engine VM
D. Enable Private Google Access on the subnet that the Compute Engine VM is deployed within.
E. Provision a Cloud VPN tunnel in the same VPC and region as the Compute Engine VM.

正解：C、D

解説：
* Provision a Cloud NAT Instance:
* Cloud NAT (Network Address Translation) allows instances without external IP addresses to access the internet securely.
* In the Google Cloud Console, navigate to the VPC Network section and select Cloud NAT.
* Create a new Cloud NAT configuration, specifying the VPC and region where your Compute Engine VMs are deployed.
* Configure Cloud NAT:
* Ensure that the Cloud NAT instance is configured to provide outbound internet connectivity for the VMs in your specified subnet.
* This setup allows the VMs to access the internet for package updates and external installations without requiring public IP addresses.
* Enable Private Google Access:
* Private Google Access allows VMs in a subnet to reach Google APIs and services using internal IP addresses.
* In the Google Cloud Console, navigate to the VPC Network section and select Subnets.
* Edit the subnet used by your Compute Engine VMs and enable Private Google Access.
* Update DevOps Scripts:
* Ensure that your DevOps scripts are updated to work with the new network configuration.
* Test the build process to confirm that the VMs can access necessary resources and complete the build pipeline successfully.
References:
* Cloud NAT Documentation
* Private Google Access

質問 # 271
For compliance reasons, an organization needs to ensure that in-scope PCI Kubernetes Pods reside on "in- scope" Nodes only. These Nodes can only contain the "in-scope" Pods.
How should the organization achieve this objective?

A. Place a taint on the Nodes with the label inscope: true and effect NoSchedule and a toleration to match in the Pod configuration.
B. Add a nodeSelector field to the pod configuration to only use the Nodes labeled inscope: true.
C. Create a node pool with the label inscope: true and a Pod Security Policy that only allows the Pods to run on Nodes with that label.
D. Run all in-scope Pods in the namespace "in-scope-pci".

正解：B

解説：
nodeSelector is the simplest recommended form of node selection constraint. You can add the nodeSelector field to your Pod specification and specify the node labels you want the target node to have. Kubernetes only schedules the Pod onto nodes that have each of the labels you specify. => https://kubernetes.io/docs/concepts/scheduling-eviction/assign-pod-node/#nodeselector Tolerations are applied to pods. Tolerations allow the scheduler to schedule pods with matching taints. Tolerations allow scheduling but don't guarantee scheduling: the scheduler also evaluates other parameters as part of its function. => https://kubernetes.io/docs/concepts/scheduling-eviction/taint-and-toleration/

質問 # 272
You have been tasked with implementing external web application protection against common web application attacks for a public application on Google Cloud. You want to validate these policy changes before they are enforced. What service should you use?

A. Cloud Load Balancing firewall rules
B. Google Cloud Armor's preconfigured rules in preview mode
C. The inherent protections of Google Front End (GFE)
D. Prepopulated VPC firewall rules in monitor mode
E. VPC Service Controls in dry run mode

正解：B

解説：
Reference:
You can preview the effects of a rule without enforcing it. In preview mode, actions are noted in Cloud Monitoring. You can choose to preview individual rules in a security policy, or you can preview every rule in the policy. https://cloud.google.com/armor/docs/security-policy-overview#preview_mode

質問 # 273
You are deploying regulated workloads on Google Cloud. The regulation has data residency and data access requirements. It also requires that support is provided from the same geographical location as where the data resides.
What should you do?

A. Enable Access Transparency Logging.
B. Deploy resources only to regions permitted by data residency requirements
C. Deploy Assured Workloads.
D. Use Data Access logging and Access Transparency logging to confirm that no users are accessing data from another region.

正解：C

解説：
Explanation
Assured Workloads for Google Cloud allows you to deploy regulated workloads with data residency, access, and support requirements. It helps you configure your environment in a manner that aligns with specific compliance frameworks and standards.

質問 # 274
......

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