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The Google Cloud Professional Cloud Architect certification was ranked one of the top paying IT certifications of Global Knowledge. This program provides the skills you need to advance your career as a professional cloud architect and recommends training to support your preparation for the industry-recognized Google Cloud Professional Cloud Architect certification.
You'll have the opportunity to deploy solution elements, including infrastructure components such as networks, systems and applications services, and you'll gain real world experience through a number of hands-on Qwiklabs projects.
Upon successful completion of this program, you will earn a certificate of completion to share with your professional network and potential employers.
If you would like to become Google Cloud certified and demonstrate your proficiency in the understanding of cloud architecture and Google Cloud Platform, design, develop, and manage solutions to drive business objectives, you will need to register for, and pass the official Google Cloud certification exam. You can find more details on how to register and additional resources to support your preparation at Nux software solutions.
1. 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
2. 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
3. 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
4. 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
5. Envisioning future solution improvements. Considerations include:
Cloud and technology improvements
Evolution of business needs
Evangelism and advocacy
1. 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)
2. 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
3. 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
1. Designing for security. Considerations include:
Identity and access management (IAM)
Resource hierarchy (organizations, folders, projects)
Data security (key management, encryption, secret management)
Separation of duties (SoD)
Security controls (e.g., auditing, VPC Service Controls, context aware access, organization policy)
Managing customer-managed encryption keys with Cloud Key Management Service
Remote access
2. Designing for compliance. Considerations include:
Legislation (e.g., health record privacy, children’s privacy, data privacy, and ownership)
Commercial (e.g., sensitive data such as credit card information handling, personally identifiable information [PII])
Industry certifications (e.g., SOC 2)
Audits (including logs)
1. Analyzing and defining technical processes. Considerations include:
Software development life cycle (SDLC)
Continuous integration / continuous deployment
Troubleshooting / root cause analysis best practices
Testing and validation of software and infrastructure
Service catalog and provisioning
Business continuity and disaster recovery
2. Analyzing and defining business processes. Considerations include:
Stakeholder management (e.g. influencing and facilitation)
Change management
Team assessment / skills readiness
Decision-making processes
Customer success management
Cost optimization / resource optimization (capex / opex)
3. Developing procedures to ensure reliability of solutions in production (e.g., chaos engineering, penetration testing)
1. Advising development/operation teams to ensure successful deployment of the solution. Considerations include:
Application development
API best practices
Testing frameworks (load/unit/integration)
Data and system migration and management tooling
2. Interacting with Google Cloud programmatically. Considerations include:
Google Cloud Shell
Google Cloud SDK (gcloud, gsutil and bq)
Cloud Emulators (e.g. Cloud Bigtable, Datastore, Spanner, Pub/Sub, Firestore)
1. Monitoring/logging/profiling/alerting solution
2. Deployment and release management
3. Assisting with the support of deployed solutions
4. Evaluating quality control measures
