Google Professional-Cloud-Architect日本語 Q&A - in .pdf

  • Professional-Cloud-Architect日本語 pdf
  • Exam Code: Professional-Cloud-Architect日本語
  • Exam Name: Google Certified Professional - Cloud Architect (GCP) (Professional-Cloud-Architect日本語版)
  • Updated: Oct 05, 2026
  • Q & A: 353 Questions and Answers
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  • Exam Name: Google Certified Professional - Cloud Architect (GCP) (Professional-Cloud-Architect日本語版)
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  • Exam Name: Google Certified Professional - Cloud Architect (GCP) (Professional-Cloud-Architect日本語版)
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  • Q & A: 353 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.

Exam Topics

The certification exam covers six domains. Each of them has a list of subtopics that the applicants should understand before taking the test. To develop competence in the content, it is recommended that you spend some time going over the exam guide and taking some practice tests. Below are the details of the subjects covered in the Google Professional Cloud Architect exam:

Designing & Planning Cloud Solution Architectures

  • Design a solution infrastructure that fulfills the technical prerequisites: the candidates must demonstrate their understanding of Cloud resources elasticity; failover design and high availability; latency and performance; scalability to fulfill growth needs;
  • Envision future solutions enhancements: the individuals should understand the technology and Cloud improvements; evangelism and advocacy; business requirements evolution.
  • Create a migration plan: the students should be able to integrate the solution with current systems; migrate data and systems to support solutions; license mapping; test and proof concepts; network planning; dependency management strategy;
  • Design a solution infrastructure that fulfills the business prerequisites: this covers skills in cost optimization; product strategy and business use cases; integration with the external systems; supporting application designs; build-buy-or-modify; design decision trade-off; data movement; observability and compliance; success measurements;
  • Design network, compute, and storage resources: this covers one’s competence in selecting data processing technologies, relevant storage types, and compute resources; integration with multi-Cloud/on-premises environments; Cloud-native networking; mapping compute requirements for platform products;

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

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

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