Professional-Cloud-Security-Engineer日本語対策問題集、Professional-Cloud-Security-Engineer関連合格問題

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

SectionWeightObjectives
Supporting Compliance Requirements11%- Audit and assessment
  • 1. Evidence collection and reporting
  • 2. Security assessment frameworks
- Regulatory compliance
  • 1. Controls for GDPR, HIPAA, PCI DSS, ISO 27001
  • 2. Shared responsibility model
Configuring Network Security20%- Secure communication
  • 1. Load balancer security
  • 2. Certificate management
  • 3. Encryption in transit
- Perimeter security
  • 1. Cloud NGFW rules and policies
  • 2. Identity-Aware Proxy (IAP)
  • 3. VPC design and private access
Configuring Access25%- Implementing access management
  • 1. Service accounts and key management
  • 2. User and group management
  • 3. Deny policies and conditional access
- Designing access control
  • 1. Identity federation and workload identity
  • 2. Resource hierarchy and organization policies
  • 3. IAM roles, permissions, and policies
Managing Operations19%- Security automation and governance
  • 1. Infrastructure as Code security
  • 2. Policy enforcement and compliance monitoring
  • 3. Binary Authorization and supply chain security
- Security monitoring and logging
  • 1. Security Command Center (SCC)
  • 2. Threat detection and response
  • 3. Cloud Audit Logs and logging configuration
Ensuring Data Protection23%- Data classification and lifecycle
  • 1. Sensitive data discovery and classification
  • 2. Retention and deletion policies
- Encryption implementation
  • 1. Encryption at rest (CMEK, Google-managed keys)
  • 2. Key management and rotation
  • 3. Data loss prevention (DLP)

>> Professional-Cloud-Security-Engineer日本語対策問題集 <<

Professional-Cloud-Security-Engineer関連合格問題 & Professional-Cloud-Security-Engineer受験準備

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Google Cloud Certified - Professional Cloud Security Engineer Exam 認定 Professional-Cloud-Security-Engineer 試験問題 (Q44-Q49):

質問 # 44
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?

正解：A

解説：
Explanation
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 wantthe 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 # 45
You are tasked with exporting and auditing security logs for login activity events for Google Cloud console and API calls that modify configurations to Google Cloud resources. Your export must meet the following requirements:
Export related logs for all projects in the Google Cloud organization.
Export logs in near real-time to an external SIEM.
What should you do? (Choose two.)

正解：A、E

解説：
To meet the requirements for exporting and auditing security logs in near real-time for login activity events and API calls:
* Organization-Level Log Sink with Pub/Sub: Create a log sink at the organization level to ensure logs from all projects are captured. Use the includeChildren parameter to include logs from all child resources (projects). Set the destination to a Pub/Sub topic to facilitate near real-time log export to an external SIEM.
* Enable Data Access Audit Logs: Enable Data Access audit logs at the organization level to capture and export detailed information about API calls that modify configurations of Google Cloud resources across all projects.
These steps ensure comprehensive logging and real-time export capabilities, which are crucial for security auditing and monitoring.
References
* Audit Logs Overview
* Exporting with Sinks


質問 # 46
You work for a large organization that recently implemented a 100GB Cloud Interconnect connection between your Google Cloud and your on-premises edge router. While routinely checking the connectivity, you noticed that the connection is operational but there is an error message that indicates MACsec is operationally down. You need to resolve this error. What should you do?

正解：A

解説：
MACsec (Media Access Control Security) relies on a shared secret (a pre-shared key, made up of a Connectivity Key Name, CKN, and Connectivity Association Key, CAK) to establish a secure session between the two endpoints. If the session is "operationally down," it indicates a cryptographic mismatch.
Extracts:
"MACsec is operationally down on my Cloud Interconnect connection... The issue could be caused by one of the following: The active keys on your on-premises router and Google's edge routers don't match." (Source
3.1)
The troubleshooting guide further specifies checking that the "active CKN, CAK, and start times on your on- premises router match the values that MACsec for Cloud Interconnect displays." (Source 3.1) Therefore, the primary and most common step to resolve a "MACsec is operationally down" status is to verify that the cryptographic keys (the pre-shared key) are correctly configured and match on both the on-premises and Google Cloud routers.


質問 # 47
You discovered that sensitive personally identifiable information (PII) is being ingested to your Google Cloud environment in the daily ETL process from an on- premises environment to your BigQuery datasets. You need to redact this data to obfuscate the PII, but need to re-identify it for data analytics purposes. Which components should you use in your solution? (Choose two.)

正解：A、B

解説：
B: you need KMS to store the CryptoKey
https://cloud.google.com/dlp/docs/reference/rest/v2/projects.deidentifyTemplates#crypt E: for the de-identity you need to use CryptoReplaceFfxFpeConfig or CryptoDeterministicConfig
https://cloud.google.com/dlp/docs/reference/rest/v2/projects.deidentifyTemplates#cryptodetermini sticconfig
https://cloud.google.com/dlp/docs/deidentify-sensitive-data


質問 # 48
You have been tasked with configuring Security Command Center for your organization's Google Cloud environment. Your security team needs to receive alerts of potential crypto mining in the organization's compute environment and alerts for common Google Cloud misconfigurations that impact security. Which Security Command Center features should you use to configure these alerts? (Choose two.)

正解：A、B

解説：
Security Command Center (SCC) in Google Cloud provides several features to help organizations detect and respond to security threats and misconfigurations.
Event Threat Detection: This feature continuously monitors and analyzes system logs to detect potential threats such as crypto mining. It uses machine learning and threat intelligence to identify suspicious activities and generate alerts.
Security Health Analytics: This feature helps identify common misconfigurations and compliance violations that could impact security. It provides visibility into security posture and helps remediate issues related to misconfigurations in your Google Cloud environment.
By using both Event Threat Detection and Security Health Analytics, you can effectively monitor for crypto mining activities and detect common misconfigurations that could compromise security.
Reference:
Security Command Center Documentation
Event Threat Detection
Security Health Analytics


質問 # 49
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