F5F5 Certified Solution Expert, Cloud
The F5 Certified Solution Expert, Cloud certification validates your ability to identify business requirements for cloud solutions and translate them into technical requirements. Designed for experienced cloud infrastructure professionals, it demonstrates you can integrate multiple components into an optimized cloud solution and communicate its value. Earning it proves you have completed the entire F5 Cloud track and can architect across the full application stack.
707 practice questions · Updated 2026-07-30
5Domains
29Objectives
196Concepts
707Questions
402 Curriculum
Every domain, objective, and concept the 402 exam measures.
- Cloud deployment models
- Cloud service models
- Cloud business models
- Cloud technologies
- F5 licensing models for cloud
- F5 support options in cloud
- Licensing implications for cloud elasticity
- F5 licensing and support for major cloud providers
- Business Requirements Analysis
- Workload Characteristics
- Cost Considerations
- Compliance and Security Requirements
- Scalability and Elasticity Needs
- Operational and Management Factors
- Integration and Interoperability
- Risk and Resilience
- F5 virtualization technology overview
- Deployment permutations
- Combination constraints and compatibility
- Use-case mapping
- SDN technology constraints overview
- OpenFlow constraints on F5 components
- VXLAN and overlay network constraints
- SDN controller integration with F5
- Network virtualization constraints
- Programmability and API constraints
- Performance and scalability constraints
- Security and policy enforcement constraints
- Technical Requirements Analysis
- F5 Platform Selection
- Virtualization Technology Options
- Resource and Performance Considerations
- High Availability and Redundancy in Virtualization
- Integration with Cloud and Orchestration
- Single-tier F5 architecture variables
- Multi-tier F5 architecture variables
- Cloud-specific architectural considerations
- Trade-offs between single and multi-tier designs
- Green-field data center design variables
- Application delivery architecture for cloud services
- Integration of data center and application delivery design
- On-demand provisioning variables
- Scalability and elasticity factors
- Performance and latency considerations
- Cost optimization in provisioning
- High availability and redundancy
- Security and compliance variables
- Integration with existing infrastructure
- Automation and orchestration
- Identify application dependencies
- Assess application compatibility with cloud
- Evaluate performance requirements
- Analyze data migration requirements
- Consider security and compliance constraints
- Determine migration strategy (rehost, replatform, refactor)
- Estimate cost implications
- Plan for downtime and cutover
- Validate migration plan with testing
- Cloud migration planning fundamentals
- Application discovery and assessment
- Migration strategy selection
- Cloud architecture design for migration
- Data migration and synchronization
- Security and compliance in migration
- Testing and validation of migrated applications
- Rollback and contingency planning
- Cutover and go-live execution
- Post-migration optimization and monitoring
- Cloud migration variables
- Application assessment for migration
- Migration strategy selection
- Cost and performance trade-offs
- Risk and compliance considerations
- Migration sequencing and dependencies
- Operational readiness
- SDN architecture fundamentals
- SDN southbound protocols
- SDN northbound APIs
- SDN integration with cloud platforms
- Network virtualization in SDN
- SDN controllers and orchestration
- Integration with existing network infrastructure
- SDN security considerations
- Troubleshooting SDN integration
- SDN integration variables
- SDN environment types
- Technology compatibility assessment
- Network abstraction and programmability
- API and interface considerations
- Performance and scalability factors
- Security and policy integration
- Operational and management implications
- Cloud provider instance sizing
- Instance location and latency
- BIG-IP licensing and instance size
- Scaling and high availability
- Cloud deployment prerequisites
- Instance sizing and selection
- Network integration
- Storage and bootstrapping
- High availability and scaling
- Security and access control
- Monitoring and management
- N/E/S/W-bound API model
- Orchestrating service creation with APIs
- RESTful API fundamentals
- F5 REST API authentication
- F5 REST API endpoints
- Automation using F5 REST APIs
- Orchestration with F5 REST APIs
- Error handling and troubleshooting
- Versioning and compatibility
- RESTful API fundamentals
- F5 REST API endpoints
- Authentication and authorization
- API versioning and compatibility
- Automation use cases
- Orchestration integration
- Error handling and troubleshooting
- Performance and scalability considerations
- Security best practices
- Idempotency and state management
- Cloud bursting definition
- Bursting scenarios
- Architecture components
- Network connectivity
- Data synchronization
- Load balancing and traffic management
- Orchestration and automation
- Security and compliance
- Cost management
- Monitoring and optimization
- Cloud bursting fundamentals
- Workload characteristics
- Capacity planning metrics
- Cost analysis
- Network connectivity
- Data synchronization
- Security and compliance
- Automation and orchestration
- Failover and resilience
- Monitoring and optimization
- Cloud deployment template fundamentals
- Template-driven provisioning workflow
- Parameterization and customization
- Integration with orchestration tools
- Lifecycle management of provisioned services
- Cloud deployment template fundamentals
- Template evaluation criteria
- On-demand provisioning mechanisms
- Template customization and adaptation
- Validation and testing of templates
- Workflow definition
- Provisioning triggers
- Resource allocation
- Configuration automation
- Integration with orchestration tools
- Monitoring and validation
- Error handling and rollback
- Workflow definition
- Provisioning triggers
- Resource selection
- Configuration automation
- Integration with cloud APIs
- Error handling and rollback
- Validation and testing
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Percentages reflect share of the current practice bank, not official exam weightings — no structured per-skill weight is published for 402, so none is invented.