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Google Professional-Cloud-Architect日本語

Professional-Cloud-Architect日本語

Exam Code: Professional-Cloud-Architect-JPN

Exam Name: Google Certified Professional - Cloud Architect (GCP) (Professional-Cloud-Architect日本語版)

Updated: Aug 08, 2026

Q&A Number: 348 Q&As

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About Google Professional-Cloud-Architect日本語 Exam Questions and Answers

Section #4. Auditing and optimizing business as well as technical processes

The key focus areas of this domain are performing the SDLC management, continuous integration, change management, and best practices for troubleshooting or bug-finding. Verifying and testing of software solutions and infrastructure, disaster recovery, business continuity, and service catalogue are also discussed in here.

Another sub-section is all about the business process’ defining & analysing, stakeholder management, team management, and decision-making workflow.

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Exam Domains Overview

The entire syllabus is based on six domains and each tries to educate the learner about various Google Cloud technologies. They are disclosed below in detail:

Section #1. Designing and strategy-making for the Cloud Solution Architecture

Designing a Google Cloud solution as per business and technical needs, handling the cost optimization, data movement, observability, and compliance are some of the most talked-about topics under this module.

The applicants should also demonstrate their expertise regarding the concepts like architecting the storage, network, and compute solutions or resources, multi-cloud or on-premises integration, and fulfilling & monitoring the compute needs of the platform products, picking-up right data processing and related technologies.

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

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

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

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