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Google Certified Professional - Cloud Architect (GCP) (Professional-Cloud-Architect日本語版) - Professional-Cloud-Architect日本語 real prep

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: 348 Questions and Answers
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Next Certification to Earn

Currently, the highest level in the program for Google involves professional certifications. Therefore, if you have a plan to earn a certificate based on another technology but still within the Google track, you can try out any targeted role like cloud developer or engineer. As a result, you can pick one from the professional-level certification paths below:

  • Cloud DevOps Engineer;
  • Cloud Network Engineer;
  • Machine Learning Engineer;
  • Collaboration Engineer.
  • Cloud Security Engineer;
  • Data Engineer;

Topics of Google Professional Cloud Architect Exam

Candidates must know the exam topics before they start of preparation. because it will really help them in hitting the core. Our Google Professional Cloud Architect Dumps will include the following topics:

1. Designing and planning a cloud solution architecture

Business requirements considerations

  • Business use cases and product strategy
  • Cost optimization
  • Movement of data
  • Design decision trade-offs
  • Build, buy or modify
  • Supporting the application design
  • Compliance and observability
  • Success measurements (e.g., key performance indicators [KPI], return on investment [ROI], metrics)
  • Integration with external systems

Technical requirements considerations

  • High availability and failover design
  • Scalability to meet growth requirements
  • Elasticity of cloud resources
  • Performance and latency

Network, Storage, and Compute resources Considerations

  • Choosing appropriate storage types (e.g., object, file, RDBMS, NoSQL, NewSQL)
  • Choosing compute resources (e.g., preemptible, custom machine type, specialized workload)
  • Choosing data processing technologies
  • Integration with on- premises/multi- cloud environments
  • Mapping compute needs to platform products
  • Cloud-native networking (VPC, peering, firewalls, container networking)

Creating a migration plan

  • Dependency management planning
  • Migrating systems and data to support the solution
  • Licensing mapping
  • Testing and proof of concept
  • Network planning
  • Integrating solution with existing systems

Envisioning future solution improvements

  • Business needs evolution
  • Evangelism and advocacy
  • Cloud and technology improvements

2. Managing and provisioning a solution Infrastructure

Configuring network topologies

  • Security and data protection
  • Extending to on-premises (hybrid networking)
  • Extending to a multi-cloud environment that may include GCP to GCP communication

Configuring individual storage systems

  • Data growth management
  • Data storage allocation
  • Network configuration for data transfer and latency
  • Data processing/compute provisioning
  • Security and access management
  • Data retention and data life cycle management

Configuring compute systems

  • Compute system provisioning
  • Container orchestration with Kubernetes
  • Compute volatility configuration (preemptible vs. standard)
  • Infrastructure provisioning technology configuration (e.g. Chef/Puppet/Ansible/Terraform/Deployment Manager)
  • Network configuration for compute nodes

3. Designing for security and compliance

Security considerations

  • Security controls (e.g., auditing, VPC Service Controls organization policy)
  • Data security (key management, encryption)
  • Identity and access management (IAM)
  • Separation of duties (SoD)
  • Penetration testing
  • Managing customer- managed encryption keys with Cloud KMS
  • Resource hierarchy (organizations, folders, projects)

compliance Considerations

  • Industry certifications (e.g., SOC 2)
  • Audits (including logs)
  • Commercial (e.g., sensitive data such as credit card information handling, personally identifiable information [PII])
  • Legislation (e.g., health record privacy, children's privacy, data privacy, and ownership)

4. Analyzing and optimizing technical and business processes

Analyzing and defining technical processes considerations

  • Testing and validation
  • Software development life cycle plan (SDLC)
  • Troubleshooting / post mortem analysis culture
  • Business continuity and disaster recovery
  • Continuous integration / continuous deployment
  • Service catalog and provisioning

Analyzing and defining business processes. Considerations include:

  • Cost optimization / resource optimization (capex / opex)
  • Decision- making process
  • Customer success management
  • Change management
  • Team assessment / skills readiness
  • Stakeholder management (e.g. influencing and facilitation)

Developing procedures to ensure resilience of solution in production (e.g., chaos engineering)

5. Managing implementation

Advising development/operation team(s) to ensure successful deployment of the solution. considerations

  • API best practices
  • Data and system migration tooling
  • Application development
  • Testing frameworks (load/unit/integration)

Interacting with Google Cloud using GCP SDK (gcloud, gsutil, and bq) considerations

  • Local installation
  • Google Cloud Shell

6. Ensuring solution and operations reliability

  • Assisting with the support of solutions in operation
  • Evaluating quality control measures
  • Deployment and release management
  • Monitoring/logging/profiling/alerting solution

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

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Recommended Experience

Officially, there are no prerequisites to be fulfilled before taking-up the Google Professional Cloud Architect exam. Anyone who wants to polish their knowledge of Google Cloud and aim at an architect role can apply for it.

However, it is recommended to have a minimum of 3+ years of industry experience before anyone enrolls in the test. These should also include 1+ years of experience in designing solutions as well as managing them using GCP. Such a base will make the exam journey a bit more simplified.

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

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

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