Google Professional-Cloud-Architect-JPN exam dumps : Google Certified Professional - Cloud Architect (GCP) (Professional-Cloud-Architect日本語版)

  • Exam Code: Professional-Cloud-Architect-JPN
  • Exam Name: Google Certified Professional - Cloud Architect (GCP) (Professional-Cloud-Architect日本語版)
  • Updated: Aug 29, 2026     Q & A: 348 Questions and Answers

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Section #2. Handling the solution’s infrastructure

The key knowledge area covered in this domain includes the development of an on-premises environment, designing a setup with multiple clouds, security concepts, and storage space allotment for diverse data.

Reference: https://cloud.google.com/certification/cloud-architect

Designing for Compliance and Security

  • Design for security: the learners need to gain knowledge of penetration testing; identity and access management; resource hierarchy; separation of duties; security control; data security; customer-managed encryption key management with Cloud KMS;
  • Design for compliance: this covers one’s knowledge of legislation (health record privacy, data privacy, ownership, and children’s privacy); commercial (sensitive data handling and personally identifiable information); industry certifications (SOC 2); audits (such as logs).

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Taking the Google Professional Cloud Architect exam is a big step towards career in the cloud sphere. The associated certification brings new prospects, including high-paying roles and promotions. Make use of a great collection of books from Amazon and official courses to get ready for the test and improve your professional path.

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Google Professional-Cloud-Architect日本語 Exam Syllabus Topics:

SectionObjectives
Designing and planning a cloud solution architecture- Creating a migration plan
  • 1. Planning data migration
  • 2. Refactoring and rearchitecting applications
  • 3. Identifying workloads for migration
- Designing solution infrastructure that meets business requirements
  • 1. Business use cases and product strategy
  • 2. Integration with existing systems
  • 3. Networking and compute resources
  • 4. Cost optimization
  • 5. Data and storage architecture
  • 6. Migration planning
- Designing network, storage, and compute resources
  • 1. Network design including load balancing and firewall rules
  • 2. Storage options and data lifecycle management
  • 3. GKE cluster and workload design
  • 4. Compute engine selection and configuration
- Enabling future cloud technology
  • 1. Implementing future-proof architectures
  • 2. Designing for scalability and elasticity
Analyzing and optimizing technical and business processes- Analyzing and defining technical processes
  • 1. Incident management and troubleshooting
  • 2. CI/CD pipeline design
  • 3. Software development lifecycle (SDLC)
- Analyzing and defining business processes
  • 1. Cost management and optimization
  • 2. Stakeholder communication
  • 3. Business KPIs and metrics
Ensuring solution and operations reliability- Monitoring/logging/profiling/alerting solution
  • 1. Error reporting and alerting
  • 2. Performance profiling and tracing
  • 3. Cloud Monitoring and Cloud Logging
- Evaluating quality control measures
- Assisting with support
  • 1. Incident response and troubleshooting
  • 2. Capacity planning and scaling
- Deployment and release management
  • 1. Deployment strategies and rollback
  • 2. Release management and versioning
Designing for security and compliance- Designing for compliance
  • 1. Audit logging and monitoring
  • 2. Data residency and sovereignty
  • 3. Regulatory and compliance requirements
- Designing for security
  • 1. Application security
  • 2. Network security
  • 3. Data security and encryption
  • 4. Identity and Access Management (IAM)
Managing implementation- Interacting with Google Cloud programmatically
  • 1. APIs and client libraries
  • 2. Infrastructure as Code (IaC)
  • 3. Cloud SDK and gcloud CLI
- Advising development/operation team(s) to ensure successful deployment
  • 1. Testing and validation
  • 2. Deployment strategies
  • 3. Application development best practices
Managing and provisioning a solution infrastructure- Configuring individual storage systems
  • 1. Cloud Storage configuration
  • 2. Datastore and Bigtable
  • 3. Cloud SQL and Spanner
- Configuring network topologies
  • 1. VPC design and peering
  • 2. Private access and VPN configuration
  • 3. Hybrid and multi-cloud connectivity
- Configuring compute systems
  • 1. GKE configuration and management
  • 2. Cloud Run and Cloud Functions
  • 3. Compute Engine configuration

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