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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

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

Technical requirements considerations

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

Network, Storage, and Compute resources Considerations

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

Creating a migration plan

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

Envisioning future solution improvements

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

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

Configuring compute systems

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

3. Designing for security and compliance

Security considerations

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

compliance Considerations

• Legislation (e.g., health record privacy, children's privacy, data privacy, and ownership)
• Industry certifications (e.g., SOC 2)
• Commercial (e.g., sensitive data such as credit card information handling, personally identifiable information [PII])
• Audits (including logs)

4. Analyzing and optimizing technical and business processes

Analyzing and defining technical processes considerations

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

Analyzing and defining business processes. Considerations include:

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

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

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
• Deployment and release management
• Evaluating quality control measures
• Monitoring/logging/profiling/alerting solution

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

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What is the duration, language, and format of Google Professional Cloud Architect Exam

• Language: Google Professional Cloud Architect offered in English (U.S.), Japanese, Spanish, and Portuguese
• Length of Examination: 120 minutes
• Passing score: 80%
• Format: Multiple choices, multiple answers
• Number of Questions: 50-60
• Recommended experience: 3+ years of industry experience including 1+ years designing and managing solutions using GCP

In Conclusion

Taking the Google Professional Cloud Architect exam is a big step towards career in the cloud sphere. The associated certification brings new prospects, including high-paying roles and promotions. Make use of a great collection of books from Amazon and official courses to get ready for the test and improve your professional path.

How much Google Professional Cloud Architect Exam cost

Google Professional Cloud Architect exam cost is $200 USD