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

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

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Exam Details

The Google Professional Cloud Architect certificate requires one qualifying exam. This test is 2 hours long and consists of the multiple-choice and multiple-select questions. The applicants can take it in English or Japanese, but before registering, they are required to pay the fee of $200. The students can pass the exam online or on-site at one of the testing centers. You should check the certification webpage for more details regarding the registration and testing processes.

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

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

Technical requirements considerations

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

Network, Storage, and Compute resources Considerations

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

Creating a migration plan

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

Envisioning future solution improvements

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

2. Managing and provisioning a solution Infrastructure

Configuring network topologies

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

Configuring individual storage systems

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

Configuring compute systems

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

3. Designing for security and compliance

Security considerations

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

compliance Considerations

• Commercial (e.g., sensitive data such as credit card information handling, personally identifiable information [PII])
• Industry certifications (e.g., SOC 2)
• Audits (including logs)
• 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

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

Analyzing and defining business processes. Considerations include:

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

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

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

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

• Google Cloud Shell
• Local installation

6. Ensuring solution and operations reliability

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