GOOGLE CLOUDGoogle Cloud Professional Cloud Architect
The Google Cloud Professional Cloud Architect certification validates your ability to design, develop, and manage robust, secure, scalable, and dynamic solutions on Google Cloud. It is for experienced architects who translate business requirements into reliable technical architectures. Earning it demonstrates you can lead cloud strategy and drive successful digital transformation.
725 practice questions · Updated 2026-07-30
6Domains
22Objectives
216Concepts
725Questions
PROFESSIONAL-CLOUD-ARCHITECT Curriculum
Every domain, objective, and concept the PROFESSIONAL-CLOUD-ARCHITECT exam measures.
- Business use cases and product strategy
- Functional requirements analysis
- Non-functional requirements analysis
- Business continuity planning
- Cost optimization strategies
- Supporting application design
- Integration patterns with external systems
- Data movement strategies
- Design decision trade-offs
- Workload disposition strategies
- Success measurement (KPI, ROI, metrics)
- Security and compliance design
- Observability implementation
- Google Cloud Well-Architected Framework pillars
- Applying the Well-Architected Framework
- High availability design patterns
- Failover strategies
- Resource flexibility
- Scalability strategies
- Performance optimization
- Latency reduction techniques
- Gemini Cloud Assist capabilities
- Using Gemini Cloud Assist
- Backup strategies
- Recovery mechanisms
- Hybrid and multicloud connectivity
- Google Cloud AI and ML solution landscape
- VPC design and subnetting
- VPC peering and shared VPC
- Firewall rules and network security
- Load balancing and traffic management
- Container networking
- Private Service Connect and service networking
- Data processing solution selection
- Object storage selection
- File storage selection
- Database selection
- Compute platform mapping
- Compute resource optimization
- Integration with existing systems
- Migration assessment
- Migration strategies
- Workload testing during migration
- Network planning for migration
- Dependency planning
- Using Google Cloud Migration Center
- Software license implications
- Financial impact analysis
- Cloud technology improvements
- Technology evolution impact
- Business needs evolution
- Future-proofing architecture
- Cloud-first design principles
- Cloud-native adoption
- Hybrid networking with Cloud VPN
- Hybrid networking with Cloud Interconnect
- Network Address Translation (NAT) for hybrid environments
- Multicloud connectivity options
- Google Cloud-to-Google Cloud communication
- Firewall rules and network security
- Cloud Armor for intrusion protection
- Identity-Aware Proxy (IAP) for access control
- VPC design principles
- Load balancing for internet-facing services
- Load balancing for internal services
- Access to cloud and cloud-adjacent services
- Storage allocation planning
- Provisioning compute for storage
- Storage security configuration
- Data transfer configuration
- Data retention policies
- Lifecycle management
- Capacity and growth planning
- Backup and recovery setup
- Compute resource provisioning
- Compute volatility configuration
- Cloud-native networking for compute
- Infrastructure orchestration
- Resource configuration management
- Patch management
- Container orchestration
- Serverless computing
- Agent Platform Pipelines overview
- Pipeline components and orchestration
- Data integration preparation
- AI Hypercomputer fundamentals
- Integrating Cloud Run functions with Agent Platform
- GPU and TPU integration in training and serving
- Optimizing for consumption models
- Running large-scale AI model trainings
- Google AI APIs overview
- Differentiating AI APIs
- Gemini Enterprise features
- Integrating AI Agents
- Integrating NotebookLM
- Model Garden overview
- Selecting models from Model Garden
- Integrating Model Garden models
- IAM Roles and Permissions
- IAM Policy Binding
- Resource Hierarchy
- IAM Best Practices
- Data Encryption at Rest and in Transit
- Cloud KMS Key Management
- Key Hierarchy and Envelope Encryption
- Secret Management
- Separation of Duties
- Audit Logging
- VPC Service Controls
- Context-Aware Access
- Organization Policy
- Hierarchical Firewall Policies
- Identity-Aware Proxy (IAP)
- Service Account Impersonation
- Chrome Enterprise Premium
- Workload Identity Federation
- Software Supply Chain Security
- Secure CI/CD Pipeline
- Model Armor
- Sensitive Data Protection
- Secure Model Deployment
- Health record privacy regulations
- Children's privacy regulations
- General data privacy regulations
- Data ownership principles
- Data sovereignty requirements
- Credit card information handling standards
- Personally identifiable information (PII) protection
- Industry certifications for cloud providers
- Audit logging requirements
- Conducting compliance audits
- SDLC phases and models
- CI/CD pipeline design
- Troubleshooting methodology
- Root cause analysis techniques
- Testing strategies for software
- Infrastructure validation
- Service catalog definition
- Provisioning automation
- Disaster recovery planning
- DR testing and execution
- Stakeholder identification and analysis
- Stakeholder engagement strategies
- Change management principles
- Change impact assessment
- Team skills assessment
- Team capability building
- Decision-making frameworks
- Customer success management
- Cost optimization strategies
- Resource optimization
- Business continuity planning
- Application and infrastructure deployment strategies
- Infrastructure as Code (IaC) and deployment automation
- API design and lifecycle management
- Apigee proxy and policy configuration
- Load testing and performance validation
- Unit and integration testing frameworks
- Data migration planning and execution
- System migration and cutover management
- Migration and management tooling
- Gemini Cloud Assist for deployment and operations
- Cloud Shell Editor
- Cloud Code
- Cloud Shell Terminal
- gcloud CLI
- gsutil CLI
- bq CLI
- Cloud Emulators
- Infrastructure as Code (IaC)
- Terraform for Google Cloud
- Google API Best Practices
- Google API Client Libraries
- Operational Excellence Pillar Principles
- Design for Reliability and Operability
- Automation of Operations
- Observability and Monitoring
- Incident Management and Response
- Continuous Improvement and Post-Incident Reviews
- Operational Excellence in Google Cloud
- Cloud Monitoring and Logging fundamentals
- Monitoring metrics and dashboards
- Log-based metrics and log analysis
- Profiling applications
- Benchmarking performance
- Alerting policies and notification channels
- Alerting best practices
- Deployment strategies
- Release management process
- CI/CD pipeline design
- Infrastructure as code
- Configuration management
- Rollback and recovery
- Deployment monitoring and validation
- Security and compliance in deployments
- Support lifecycle understanding
- Incident management process
- Root cause analysis
- Monitoring and alerting integration
- Log analysis and debugging
- Rollback and recovery procedures
- Communication with stakeholders
- Documentation and knowledge sharing
- Continuous improvement feedback loop
- Define quality control measures
- Evaluate monitoring and logging practices
- Analyze testing strategies
- Review incident response and remediation
- Assess continuous improvement mechanisms
- Chaos engineering principles
- Chaos engineering implementation
- Penetration testing fundamentals
- Penetration testing execution
- Load testing fundamentals
- Load testing execution
- Reliability testing integration
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