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Many candidates know exam Google Certified Professional - Cloud Architect (GCP) (Professional-Cloud-Architect日本語版) is difficult to pass. What's coming will come, and we'll meet it when it does. If we don't have confidence to pass exam by yourselves our Professional-Cloud-Architect日本語 exams questions and answers can help you find your study target and lead you to pass exams easily. Don't let this exam become you a lion in the way to success. Google Google Cloud Certified certification is a quite outstanding advantage in you resume. Dumps PDF for Professional-Cloud-Architect日本語 - Google Certified Professional - Cloud Architect (GCP) (Professional-Cloud-Architect日本語版) will be your best assistant while preparing for the real test.
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:
| Section | Objectives |
|---|---|
| Designing and planning a cloud solution architecture | - Designing solution infrastructure that meets business requirements
|
| Ensuring solution and operations reliability | - Assisting with support
- Deployment and release management
|
| Analyzing and optimizing technical and business processes | - Analyzing and defining business processes
|
| Designing for security and compliance | - Designing for security
|
| Managing and provisioning a solution infrastructure | - Configuring compute systems
|
| Managing implementation | - Advising development/operation team(s) to ensure successful deployment
|



