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Google Professional-Cloud-Architect certification exam covers various topics, including designing and planning a cloud solution architecture, managing and provisioning a cloud solution infrastructure, designing for security and compliance, analyzing and optimizing technical and business processes, and managing implementations of cloud architecture. Professional-Cloud-Architect-JPN exam is designed to test the candidate's proficiency in these areas and their ability to apply their knowledge to real-world scenarios.
To become a Google Certified Professional-Cloud-Architect, candidates must pass a rigorous exam that covers topics such as designing and planning a cloud solution architecture, managing and provisioning cloud infrastructure, optimizing and securing a solution, and analyzing and optimizing technical and business processes. Professional-Cloud-Architect-JPN exam also assesses the candidate's ability to use Google Cloud Platform tools and services effectively.
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Google Professional-Cloud-Architect certification exam is a highly sought-after accreditation that validates the skills and expertise of cloud architects in designing, developing, and managing Google Cloud Platform solutions. Google Certified Professional - Cloud Architect (GCP) (Professional-Cloud-Architect日本語版) certification is designed to test a candidate's ability to design and develop solutions that are secure, scalable, and highly available, and can help organizations meet their business objectives.
Reference: https://cloud.google.com/certification/cloud-architect
Google Professional-Cloud-Architect日本語 Exam Syllabus Topics:
| Section | Weight | Objectives |
| Topic 1: Managing and provisioning solution infrastructure | 15% | - Provisioning and managing compute resources
- 1. VMs, GKE, App Engine, Cloud Run deployment and management
- 2. Auto-scaling and resource management
- Managing storage and data services
- 1. Database deployment, replication, and backup
- 2. Cloud Storage, Filestore, Persistent Disk management
- Configuring network topologies and connectivity
- 1. Load balancing and CDN configuration
- 2. VPC design, peering, and hybrid connectivity
|
| Topic 2: Designing for security and compliance | 17.5% | - Securing data and communications
- 1. Encryption at rest and in transit
- 2. Key management and secret security
- Enforcing compliance and governance
- 1. Security controls, auditing, and logging
- 2. VPC Service Controls and security perimeters
- Implementing identity and access management
- 1. Organizational policies and resource hierarchy
- 2. IAM roles, permissions, and service accounts
|
| Topic 3: Ensuring solution and operations excellence | 12.5% | - 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
- Implementing monitoring, logging, and observability
- 1. Cloud Monitoring, Logging, and Error Reporting
- 2. Alerting, dashboarding, and root cause analysis
|
| Topic 4: Analyzing and optimizing technical and business processes | 15% | - Optimizing cost and resource efficiency
- 1. Committed use discounts and pricing models
- 2. Resource right-sizing and usage monitoring
- Improving reliability and performance
- 1. SLO, SLA, and error budgeting
- 2. Latency reduction and throughput optimization
- Streamlining operational workflows
- 1. Change management and incident response
- 2. Stakeholder communication and alignment
|
| Topic 5: Designing and planning a cloud solution architecture | 25% | - Planning cloud migration and hybrid/multi-cloud environments
- 1. Interoperability and integration design
- 2. Data transfer and synchronization
- 3. Migration planning and execution
- Designing cloud solution infrastructure aligned with business requirements
- 1. Compliance and regulatory requirements consideration
- 2. Scalability, high availability, and fault tolerance design
- 3. Cost optimization strategies
- Evaluating and selecting Google Cloud services
- 1. Compute, storage, database, and networking service selection
- 2. Serverless and managed service adoption
|
| Topic 6: Managing implementation | 12.5% | - Testing and validating solutions
- 1. Disaster recovery and failover testing
- 2. Functional, performance, and security testing
- 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. CI/CD pipelines and automation
- 2. Application and infrastructure deployment strategies
|