Google Professional-Cloud-Security-Engineerコンポーネント:実際問題Professional-Cloud-Security-Engineerテスト模擬問題集

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Google Professional-Cloud-Security-Engineer Exam Syllabus Topics:

SectionWeightObjectives
Managing operations19%- Automating infrastructure and application security
  • 1. Configuring Binary Authorization for GKE or Cloud Run
  • 2. Managing policy and drift detection at scale (CSPM, custom org policies, Security Health Analytics)
  • 3. Automating security scanning for CVEs through CI/CD pipelines
  • 4. Automating virtual machine and container image creation (hardening, maintenance, patch management)
Ensuring data protection23%- Protecting sensitive data and preventing data loss
  • 1. Securing secrets with Secret Manager
  • 2. Configuring Sensitive Data Protection (discovering and redacting PII, pseudonymization)
  • 3. Protecting and managing compute instance metadata
  • 4. Restricting access to Google Cloud data services (BigQuery, Cloud Storage, Cloud SQL)
Supporting compliance requirements14%- Determining security requirements
  • 1. Configuring audit logging and monitoring (Cloud Audit Logs, Access Transparency)
  • 2. Implementing security controls for Vertex AI and AI/ML workloads
  • 3. Identifying security requirements (e.g., regulatory, compliance)
Configuring network security19%- Designing network security
  • 1. Configuring load balancing for security (Cloud Armor, SSL policies)
  • 2. Configuring network perimeter controls (firewall rules, hierarchical firewall policies, Cloud NGFW)
  • 3. Establishing private connectivity between VPC and Google APIs (Private Google Access, Private Service Connect)
  • 4. Using Cloud NAT to enable outbound traffic
Configuring access25%- Managing Cloud Identity
  • 1. Configuring Google Cloud Directory Sync and implementing SSO with a third-party identity provider
  • 2. Configuring Workforce Identity Federation
  • 3. Managing super administrator accounts
  • 4. Automating user lifecycle management processes
  • 5. Administering user accounts and groups programmatically
- Managing service accounts
  • 1. Securing, auditing, and mitigating usage of service account keys
  • 2. Securing and protecting service accounts (including default service accounts)
  • 3. Managing and creating short-lived credentials
  • 4. Creating, disabling, and authorizing service accounts
  • 5. Identifying scenarios requiring service accounts

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Google Cloud Certified - Professional Cloud Security Engineer Exam 認定 Professional-Cloud-Security-Engineer 試験問題 (Q154-Q159):

質問 # 154
Your organization has a hybrid cloud environment with a data center connected to Google Cloud through a dedicated Cloud Interconnect connection. You need to configure private access from your on-premises hosts to Google APIs, specifically Cloud Storage and BigQuery, without exposing traffic to the public internet.
What should you do?

正解：C

解説：
To provide on-premises hosts with access to Google APIs without using public IP addresses or the public internet, Google Cloud provides Private Google Access for on-premises hosts. This feature allows traffic to stay within the Google network via Cloud Interconnect or Cloud VPN.
According to the official Google Cloud Documentation (Configuring Private Google Access for on-premises hosts):
"Private Google Access for on-premises hosts provides a way for on-premises systems to connect to Google APIs and services by routing traffic through a Cloud VPN tunnel or Cloud Interconnect attachment (VLAN).
On-premises hosts don't need public IP addresses; instead, they use internal IP addresses." Key Implementation Steps:
* Network Connectivity: Ensure your on-premises network is connected to your VPC via Cloud Interconnect or VPN.
* DNS Configuration: You must configure your on-premises DNS to map API requests (like storage.
googleapis.com) to special IP ranges. There are two primary options:
* private.googleapis.com: Resolves to 199.36.153.8/30. This range supports most Google APIs but only those that are VPC-Service Control compatible.
* restricted.googleapis.com: Resolves to 199.36.153.4/30. This is required specifically when using VPC Service Controls (VPC-SC) to ensure data cannot be exfiltrated to services outside the perimeter.
* Routing: You must configure custom static routes in your VPC or use BGP to advertise the 199.36.153.8
/30 (or 199.36.153.4/30) range back to your on-premises router.
Why other options are incorrect:
* A is incorrect: Shared VPC is used to share a network across multiple Google Cloud projects, not to extend a VPC directly to on-premises hardware.
* C is incorrect: While the IP range 199.36.153.8/30 is correct for private.googleapis.com, Cloud NAT is used for outbound internet access from VPC instances without external IPs; it does not facilitate private on-premises-to-API connectivity.
* D is incorrect: VPC Peering connects two VPCs within Google Cloud. You cannot "peer" an on- premises data center directly via VPC Peering; you must use Interconnect or VPN.
Reference: * Google Cloud Security Engineer Study Guide, Chapter 4: Configuring Network Security.
Google Cloud Documentation: "Configure Private Google Access for on-premises hosts" (https://cloud.
google.com/vpc/docs/configure-private-google-access-on-premises).


質問 # 155
A company is backing up application logs to a Cloud Storage bucket shared with both analysts and the administrator. Analysts should only have access to logs that do not contain any personally identifiable information (PII). Log files containing PII should be stored in another bucket that is only accessible by the administrator.
What should you do?

正解：B

解説：
Explanation
https://codelabs.developers.google.com/codelabs/cloud-storage-dlp-functions#0
https://www.youtube.com/watch?v=0TmO1f-Ox40


質問 # 156
Your team needs to make sure that a Compute Engine instance does not have access to the internet or to any Google APIs or services.
Which two settings must remain disabled to meet these requirements? (Choose two.)

正解：A、D

解説：
Reference:
https://cloud.google.com/vpc/docs/configure-private-google-access


質問 # 157
Your team uses a service account to authenticate data transfers from a given Compute Engine virtual machine instance of to a specified Cloud Storage bucket. An engineer accidentally deletes the service account, which breaks application functionality. You want to recover the application as quickly as possible without compromising security.
What should you do?

正解：A

解説：
https://cloud.google.com/iam/docs/creating-managing-service-
accounts#undeleting_a_service_account


質問 # 158
An engineering team is launching a web application that will be public on the internet. The web application is hosted in multiple GCP regions and will be directed to the respective backend based on the URL request.
Your team wants to avoid exposing the application directly on the internet and wants to deny traffic from a specific list of malicious IP addresses Which solution should your team implement to meet these requirements?

正解：D

解説：
https://cloud.google.com/armor/docs/security-policy-concepts


質問 # 159
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