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Google Professional-Cloud-Architect certification is highly regarded in the IT industry and is recognized as a benchmark for cloud architects. It is a valuable asset for professionals who want to advance their career in cloud architecture and demonstrate their expertise to potential employers. Google Certified Professional - Cloud Architect (GCP) (Professional-Cloud-Architect日本語版) certification demonstrates a candidate's ability to design and manage solutions on GCP, as well as their understanding of cloud architecture best practices.

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

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The Google Professional-Cloud-Architect-JPN exam consists of multiple-choice and scenario-based questions, and is designed to test a candidate's knowledge and skills in various areas such as designing and planning a cloud solution architecture, managing and provisioning a cloud infrastructure, optimizing cloud solutions for cost and performance, and ensuring the security and compliance of cloud solutions.

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

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

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