Google Professional Cloud Architect GCP Professional

Section 1. Designing and planning a cloud solution architecture

Designing a solution infrastructure that meets business requirements. Considerations include:

• Business use cases and product strategy

• Cost optimization

• Supporting the application design

• Integration with external systems

• Movement of data

• Design decision trade-offs

• Build, buy, modify, or deprecate

• Success measurements (e.g., key performance indicators [KPI], return on investment [ROI], metrics)

• Compliance and observability

Designing a solution infrastructure that meets technical requirements. Considerations include: 

• High availability and failover design

• Elasticity of cloud resources with respect to quotas and limits

• Scalability to meet growth requirements

• Performance and latency

Designing network, storage, and compute resources. Considerations include:

• Integration with on-premises/multicloud environments

• Cloud-native networking (VPC, peering, firewalls, container networking)

• Choosing data processing technologies

• Choosing appropriate storage types (e.g., object, file, databases)

• Choosing compute resources (e.g., preemptible, custom machine type, specialized workload)

• Mapping compute needs to platform products

Creating a migration plan (i.e., documents and architectural diagrams). Considerations include:

• Integrating solutions with existing systems

• Migrating systems and data to support the solution

• Software license mapping

• Network planning

• Testing and proofs of concept

• Dependency management planning

Envisioning future solution improvements. Considerations include:

• Cloud and technology improvements

• Evolution of business needs

• Evangelism and advocacy
  
   

Section 2. Managing and provisioning a solution infrastructure

Configuring network topologies. Considerations include:

• Extending to on-premises environments (hybrid networking)

• Extending to a multicloud environment that may include Google Cloud to Google Cloud communication

• Security protection (e.g. intrusion protection, access control, firewalls)

 Configuring individual storage systems. Considerations include:

• Data storage allocation

• Data processing/compute provisioning

• Security and access management

• Network configuration for data transfer and latency

• Data retention and data life cycle management

• Data growth planning
   

Configuring compute systems. Considerations include:

• Compute resource provisioning

• Compute volatility configuration (preemptible vs. standard)

• Network configuration for compute resources (Google Compute Engine, Google Kubernetes Engine, serverless networking)

• Infrastructure orchestration, resource configuration, and patch management

• Container orchestration