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Topics of Google Professional Cloud Architect Exam

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1. Designing and planning a cloud solution architecture

Business requirements considerations

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

Technical requirements considerations

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

Network, Storage, and Compute resources Considerations

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

Creating a migration plan

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

Envisioning future solution improvements

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

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

Configuring compute systems

• Compute system provisioning
• 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)

3. Designing for security and compliance

Security considerations

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

compliance Considerations

• Industry certifications (e.g., SOC 2)
• 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)
• Audits (including logs)

4. Analyzing and optimizing technical and business processes

Analyzing and defining technical processes considerations

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

Analyzing and defining business processes. Considerations include:

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

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

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

• Local installation
• Google Cloud Shell

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

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Google Professional Cloud Architect Certified Professional salary

The average salary of a Google Professional Cloud Architect Certified Expert in

• India - 25,42,327 INR
• Europe - 135,347 EURO
• United State - 151,247 USD
• England - 115,632 POUND

Google Professional Cloud Architect Practice Test Questions, Google Professional Cloud Architect Exam Practice Test Questions

The Google Professional Cloud Architect certification equips the individuals with the ability to leverage Google Cloud technologies for their organizations. It offers the potential candidates an extensive understanding of Google Cloud Platform and Cloud architecture in general. Earning this certificate is a great way to grow your career in the ever-growing Cloud domain.

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