Google Certified Professional - Cloud Architect (GCP) (Professional-Cloud-Architect日本語版) : 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: Jul 22, 2026
  • Q&As: 348 Questions and Answers

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About Google Professional-Cloud-Architect日本語 Real Exam

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

Prerequisites

There are no official requirements that the candidates for the Google Professional Cloud Architect certification need to satisfy. However, it is recommended that the applicants possess 3 or more years of industry experience, including at least 1 year of experience with designing and managing solutions using Google Cloud Platform. Their solid knowledge of the topics covered in the qualifying exam is also required.

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Analyzing & Optimizing Business and Technical Processes

  • Analyze and define business processes: this entails stakeholder management (facilitation and influencing); decision-making process; change management; skill readiness and team assessment; cost optimization and resource optimization; customer success management; procedure development to ensure the resilience of solutions with production.
  • Analyze and define technical processes: this area will require skills in testing and validation; software development lifecycle plan; troubleshooting and post mortem analysis culture; continuous deployment and continuous integration; service catalog and provisioning; disaster recovery and business continuity;

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

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

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