Professional-Cloud-Architect日本語 study materials - Google Professional-Cloud-Architect日本語 dumps VCE

Google Professional-Cloud-Architect日本語 : 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: Sep 04, 2026

Q & A: 348 Questions and Answers

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What Are Topics Covered by Google Professional Cloud Architect?

To increase your chances of success in this certification exam, you need to master its topics beforehand. This test covers six domains:

  • Developing & Planning Cloud Solution Infrastructure

The Google Professional Cloud Architect exam is premised on issues to do with developing solution architectures that comply with business demands. The considerations included here are such as business use scenarios as well as product strategy, cost optimization, data movement, success measurements, and compliance with observability. It also scrutinizes how to develop infrastructure that complies with technical specifications. This is where factors like high availability, elasticity, failover design, scalability, performance as well as latency are covered. The next segments are about developing network, compute, and storage resources, creating a plan for migration and envisioning future improvements in solutions. The last bit looks at improvements on cloud in addition to technology, the evolution of enterprise needs, and advocacy and evangelism.

  • Managing & Provisioning Solution Infrastructure

To manage and provision architectural solutions, candidates must focus on mastering how to configure topologies on networks. Concerned here are matters like hybrid networking, extending to environments like multi-cloud, data protection, and security. The next part concerns configuring storage systems and has considerations like allocation for data storage, data processing, access management and security, data retention, and growth management for data. Mastering abilities in compute systems is another tested area. It has considerations like provisioning for compute systems, the configuration of compute volatility, network configuration targeting compute nodes, and container orchestration using Kubernetes.

  • Developing for Security & Compliance

The Professional Cloud Architect exam also concerns developing for security & compliance. The first part regarding security includes considerations like IAM, resource hierarchy such as folders, organizations, and projects, data security, penetration testing, separation of duties, and managing customers and their encryption keys. The second piece focuses on developing for compliance and considers matters like legislation, commercial, industry certifications like SOC 2, and audits with logs.

  • Analyzing & Enhancing Technical & Business Processes

The first task is to analyze and define technical processes where considerations are such as SDLC (Software Development Life Cycle), continuous integration and deployment, troubleshooting, testing as well as validation, service catalogs, disaster recovery, and business continuity. Next is to study how to analyze and define business processes. This considers stakeholder management, change management, team assessment, the management of customer success, and cost optimization. To close this domain is creating procedures to make sure that there is resilience during solution production. An issue to consider in this case is, for example, chaos engineering.

  • Managing Implementation

The Google Professional Cloud Architect exam is also about managing implementation. Thus, included here are matters like advising development or operation teams to make sure that solution deployment is successful. Additionally, issues to consider are such as application development, best practices for API, testing frameworks, and system & data migration tooling. This section also scrutinizes how to interact with the cloud by using GCP SDK (gcloud, gsutil, as well as bq), where the deliberations involved are location installation and Google Cloud Shell.

  • Ensuring Reliability in Solutions & Operations

This concluding topic concerns such notions as controlling, profiling, logging, and alerting solutions. In addition, candidates will have to be aware of deploying and releasing management and should be equipped with the knowledge of offering assistance by supporting solutions that currently are in operation. To close this area there is an evaluation of measures for quality control.

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Section #5. Managing implementation

This section has two major topics and assesses the candidates’ skills in application development, system migration, data management, API development/usage best practices, and testing frameworks. Interacting with Google Cloud programmatically is the key focus of the second sub-topic. The main considerations here are Cloud Emulators, Google Cloud Shell, and Cloud SDK.

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

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

SectionWeightObjectives
Designing and planning a cloud solution architecture25%- Planning cloud migration and hybrid/multi-cloud environments
  • 1. Data transfer and synchronization
  • 2. Migration planning and execution
  • 3. Interoperability and integration design
- Designing cloud solution infrastructure aligned with business requirements
  • 1. Scalability, high availability, and fault tolerance design
  • 2. Cost optimization strategies
  • 3. Compliance and regulatory requirements consideration
- Evaluating and selecting Google Cloud services
  • 1. Compute, storage, database, and networking service selection
  • 2. Serverless and managed service adoption
Designing for security and compliance17.5%- Enforcing compliance and governance
  • 1. VPC Service Controls and security perimeters
  • 2. Security controls, auditing, and logging
- Securing data and communications
  • 1. Key management and secret security
  • 2. Encryption at rest and in transit
- Implementing identity and access management
  • 1. IAM roles, permissions, and service accounts
  • 2. Organizational policies and resource hierarchy
Managing and provisioning solution infrastructure15%- Provisioning and managing compute resources
  • 1. Auto-scaling and resource management
  • 2. VMs, GKE, App Engine, Cloud Run deployment and management
- Managing storage and data services
  • 1. Cloud Storage, Filestore, Persistent Disk management
  • 2. Database deployment, replication, and backup
- Configuring network topologies and connectivity
  • 1. VPC design, peering, and hybrid connectivity
  • 2. Load balancing and CDN configuration
Ensuring solution and operations excellence12.5%- Implementing monitoring, logging, and observability
  • 1. Alerting, dashboarding, and root cause analysis
  • 2. Cloud Monitoring, Logging, and Error Reporting
- Planning for continuous improvement
  • 1. Technology updates and architecture evolution
  • 2. Feedback loops and optimization cycles
- Applying Well-Architected Framework principles
  • 1. Operational excellence, reliability, security, cost, and performance pillars
Managing implementation12.5%- Using Google Cloud tools and APIs programmatically
  • 1. Cloud SDK, Cloud Shell, and Cloud Code
  • 2. Infrastructure as Code (Terraform, Deployment Manager)
- Guiding development and deployment teams
  • 1. Application and infrastructure deployment strategies
  • 2. CI/CD pipelines and automation
- Testing and validating solutions
  • 1. Functional, performance, and security testing
  • 2. Disaster recovery and failover testing
Analyzing and optimizing technical and business processes15%- Streamlining operational workflows
  • 1. Change management and incident response
  • 2. Stakeholder communication and alignment
- Improving reliability and performance
  • 1. Latency reduction and throughput optimization
  • 2. SLO, SLA, and error budgeting
- Optimizing cost and resource efficiency
  • 1. Committed use discounts and pricing models
  • 2. Resource right-sizing and usage monitoring

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