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

SectionWeightObjectives
Topic 1: Managing Operations19%- Security automation and governance
  • 1. Binary Authorization and supply chain security
  • 2. Policy enforcement and compliance monitoring
  • 3. Infrastructure as Code security
- Security monitoring and logging
  • 1. Cloud Audit Logs and logging configuration
  • 2. Threat detection and response
  • 3. Security Command Center (SCC)
Topic 2: Configuring Network Security20%- Secure communication
  • 1. Certificate management
  • 2. Load balancer security
  • 3. Encryption in transit
- Perimeter security
  • 1. Cloud NGFW rules and policies
  • 2. Identity-Aware Proxy (IAP)
  • 3. VPC design and private access
Topic 3: Ensuring Data Protection23%- Data classification and lifecycle
  • 1. Sensitive data discovery and classification
  • 2. Retention and deletion policies
- Encryption implementation
  • 1. Data loss prevention (DLP)
  • 2. Encryption at rest (CMEK, Google-managed keys)
  • 3. Key management and rotation
Topic 4: Configuring Access25%- Implementing access management
  • 1. Deny policies and conditional access
  • 2. Service accounts and key management
  • 3. User and group management
- Designing access control
  • 1. Identity federation and workload identity
  • 2. IAM roles, permissions, and policies
  • 3. Resource hierarchy and organization policies
Topic 5: Supporting Compliance Requirements11%- Audit and assessment
  • 1. Security assessment frameworks
  • 2. Evidence collection and reporting
- Regulatory compliance
  • 1. Controls for GDPR, HIPAA, PCI DSS, ISO 27001
  • 2. Shared responsibility model

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최신 Google Cloud Certified Professional-Cloud-Security-Engineer 무료샘플문제 (Q314-Q319):

질문 # 314
You are working with developers to secure custom training jobs running on Vertex AI. For compliance reasons, all supported data types must be encrypted by key materials that reside in the Europe region and are controlled by your organization. The encryption activity must not impact the training operation in Vertex AI. What should you do?

정답：A

설명：
https://cloud.google.com/vertex-ai/docs/general/cmek#resources
In general, the CMEK key does not encrypt metadata associated with your operation, like the job's name and region, or a dataset's display name. Metadata associated with operations is always encrypted using Google's default encryption mechanism.


질문 # 315
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?

정답：A

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


질문 # 316
Your organization s customers must scan and upload the contract and their driver license into a web portal in Cloud Storage. You must remove all personally identifiable information (Pll) from files that are older than 12 months. Also you must archive the anonymized files for retention purposes.
What should you do?

정답：B

설명：
To remove personally identifiable information (PII) from files older than 12 months and archive the anonymized files for retention purposes, you can use Google Cloud Data Loss Prevention (DLP).
* Create a Cloud DLP Inspection Job:
* Go to the Cloud DLP section in the Google Cloud Console.
* Create an inspection job that scans files in your Cloud Storage bucket for PII.
* Configure the job to only target files that are older than 12 months.
* Configure De-identification:
* In the inspection job settings, configure de-identification actions to remove or obfuscate PII in the files.
* Specify the transformation techniques appropriate for your data, such as masking or tokenization.
* Archive Anonymized Files:
* Set up the job to move the de-identified files to another Cloud Storage bucket designated for archival.
* Ensure this bucket has the appropriate retention policies and access controls in place.
* Delete Original Files:
* After de-identification and archiving, configure the job to delete the original files from the source bucket.
This approach ensures that PII is effectively removed from old files and that the anonymized data is securely archived, maintaining compliance with data retention and privacy policies.
References:
* Cloud Data Loss Prevention Documentation
* Setting Up DLP Jobs
* Cloud Storage Documentation


질문 # 317
An organization's typical network and security review consists of analyzing application transit routes, request handling, and firewall rules. They want to enable their developer teams to deploy new applications without the overhead of this full review.
How should you advise this organization?

정답：C

설명：
Explanation
https://cloud.google.com/recommender/docs/tutorial-iac


질문 # 318
Your organization deploys a large number of containerized applications on Google Kubernetes Engine (GKE). Node updates are currently applied manually. Audit findings show that a critical patch has not been installed due to a missed notification. You need to design a more reliable, cloud-first, and scalable process for node updates. What should you do?

정답：A

설명：
To establish a reliable, cloud-native, and scalable process for updating nodes in your GKE clusters, configuring node auto-upgrades within designated maintenance windows is the most effective approach.
* Option A: Migrating to a self-managed Kubernetes environment would increase operational overhead and complexity, as your team would be responsible for managing the entire infrastructure, including patching and updates. This contradicts the goal of adopting a cloud-first strategy and does not inherently provide a more reliable update process.
* Option B: Developing custom scripts for patch management introduces potential risks and maintenance burdens. Ensuring the reliability, security, and scalability of such scripts can be challenging, and this approach may not align with best practices for managing GKE environments.
* Option C: Scheduling daily reboots does not guarantee that nodes will apply the latest patches or updates. Without a mechanism to manage and apply updates, reboots alone are insufficient to maintain node security and compliance.
* Option D: Configuring node auto-upgrades ensures that GKE automatically keeps your nodes up-to- date with the latest stable versions, reducing the risk of missed critical patches. By setting maintenance windows, you can control when these upgrades occur, minimizing disruptions to your workloads. This approach leverages GKE's managed services to maintain security and compliance efficiently.
Therefore, Option D is the optimal solution, as it aligns with a cloud-first strategy and leverages GKE's native capabilities to automate and schedule node updates effectively.
References:
* Auto-upgrading nodes | Google Kubernetes Engine (GKE)
* Maintenance windows and exclusions | Google Kubernetes Engine


질문 # 319
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참고: ExamPassdump에서 Google Drive로 공유하는 무료, 최신 Professional-Cloud-Security-Engineer 시험 문제집이 있습니다: https://drive.google.com/open?id=1wpwhRcDmNV-bvEzU-bIi6RrjkupYppWd