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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

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

Technical requirements considerations

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

Network, Storage, and Compute resources Considerations

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

Creating a migration plan

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

Envisioning future solution improvements

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

2. Managing and provisioning a solution Infrastructure

Configuring network topologies

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

Configuring individual storage systems

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

Configuring compute systems

• Compute system provisioning
• 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)

3. Designing for security and compliance

Security considerations

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

compliance Considerations

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

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

Analyzing and defining business processes. Considerations include:

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

• Google Cloud Shell
• Local installation

6. Ensuring solution and operations reliability

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

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

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Designing for Compliance and Security

• Design for compliance: this covers one’s knowledge of legislation (health record privacy, data privacy, ownership, and children’s privacy); commercial (sensitive data handling and personally identifiable information); industry certifications (SOC 2); audits (such as logs).
• Design for security: the learners need to gain knowledge of penetration testing; identity and access management; resource hierarchy; separation of duties; security control; data security; customer-managed encryption key management with Cloud KMS;