402
Cloud Solutions (402)
Parte de F5 Certified Solution Expert, Cloud
Computer-based, multiple-choice; delivered at Pearson VUE test centers (English). Credential awarded: F5 Certified Solution Expert, Cloud (F5-CSE, Cloud). Prerequisites: F5-CA plus F5-CTS LTM and F5-CTS DNS.
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Section 1: FOUNDATIONAL CLOUD CONCEPTS
1.01 Compare and contrast the various cloud business models and technologies
O que saber:- Service models: IaaS gives you the virtual machine, PaaS the runtime, SaaS the finished application; responsibility shifts left as you move up.
- Deployment models: public, private, hybrid, and multi-cloud, each with different control and egress-cost characteristics.
- The shared responsibility model is the exam's recurring theme: the provider secures the cloud, the tenant secures what runs in it.
- Consumption billing changes design incentives: idle capacity costs money, which is what makes autoscaling an architectural requirement rather than a nicety.
- Know where BIG-IP Virtual Edition fits in each model, and where a cloud-native load balancer would be used instead.
1.02 Apply concepts related to cloud Identity Access Management technologies
O que saber:- Cloud IAM is policy attached to identities and resources; least privilege and role assumption are the core patterns.
- Federation lets an enterprise directory authenticate to a cloud provider, typically over SAML or OIDC.
- Instance roles and managed identities let a BIG-IP VE call provider APIs without embedded static credentials, which is the preferred pattern.
- APM integrates with cloud IAM to provide access to applications, distinct from the IAM controlling the infrastructure itself.
- Distinguish control-plane identity (who can change the deployment) from data-plane identity (who can use the application).
1.03 Describe the terminology, modules, and technical requirements related to application bursting and mobility
O que saber:- Application bursting means overflowing capacity from one environment into another when demand exceeds local resources.
- Mobility means moving an application between environments without rewriting it, which requires consistent services in both.
- Prerequisites: consistent addressing or overlay, DNS-based steering, replicated or shared state, and identical policy in both locations.
- F5 DNS (GTM) provides the global steering layer; per-site LTM provides local delivery.
- The hard constraints are data gravity and latency, not load balancing.
1.04 Apply concepts related to application bursting and mobility
O que saber:- Bursting is triggered by measurable thresholds; define them on the metric that actually degrades user experience.
- Health monitoring must span both environments so the steering layer knows the burst target is genuinely ready.
- Session persistence across environments is the classic failure point; solve it with stateless design or shared session storage.
- Return traffic and asymmetric routing must be planned, especially with SNAT and cloud routing constraints.
- Cost control belongs in the design: define the scale-down condition as carefully as the scale-up one.
Section 2: CLOUD INFRASTRUCTURE DESIGN
2.01 Describe the F5 licensing and support characteristics for cloud deployments
O que saber:- BIG-IP VE licensing models: BYOL (bring your own licence), hourly or utility billing through the cloud marketplace, and subscription.
- Throughput-tiered licensing caps performance regardless of the underlying instance size, so licence and instance must be matched.
- Support entitlement follows the licence type; marketplace instances carry provider-billed support terms.
- Know when a licence must be re-activated after an instance change, and how that affects automated redeployment.
- Licence portability is a real design constraint in autoscaling groups where instances are ephemeral.
Neste site: Anatomia de um arquivo de licença do BIG-IP, Recuperando um BIG-IP que não carrega a config após uma atualizaçãoFerramentas: f5-bigip-license-explainer2.02 Evaluate variables relevant to the design of a cloud solution that meets business requirement
O que saber:- Design inputs: throughput, connections per second, SSL TPS, required modules, availability target, and compliance boundaries.
- Business requirements translate into concrete numbers before a platform is chosen; that translation is the objective.
- Availability targets drive the HA model: active-standby, active-active, or provider-native multi-zone distribution.
- Growth headroom and burst behavior determine whether a scale-up or scale-out design is appropriate.
- Document assumptions; the exam scenarios frequently hinge on a constraint stated only once.
2.03 Enumerate the available permutations and combinations of F5 virtualization technologies
O que saber:- F5 virtualization forms: hardware appliance, vCMP guests on supported hardware, BIG-IP VE on a hypervisor, and cloud instances.
- vCMP provides hardware-level guest isolation with dedicated resources; route domains and partitions provide logical separation on one instance.
- Multi-tenancy choice is a trade of isolation strength against resource efficiency.
- Per-guest licensing and resource allocation constrain how many tenants a platform can carry.
- Know which features are unavailable or behave differently on VE compared with hardware, particularly hardware offload.
2.04 Recognize the constraints imposed by various SDN technologies on F5 components
O que saber:- SDN environments impose overlay encapsulation (VXLAN, NVGRE) that BIG-IP must terminate or traverse.
- Integration points: VMware NSX, Cisco ACI, and OpenStack Neutron each expose different service-insertion models.
- Underlay versus overlay addressing determines where the BIG-IP self IPs live and how return traffic finds them.
- Some SDN fabrics restrict promiscuous behavior or MAC masquerade, which constrains HA and failover mechanics.
- The constraint is usually networking semantics, not throughput.
2.05 Relate technical requirements to F5 platforms and virtualization technologies
O que saber:- Map required features to platform capability first, then size for throughput; a feature gap cannot be solved by a bigger instance.
- Hardware offload (SSL, compression, FPGA DoS) exists on appliances and not on VE, which changes sizing arithmetic substantially.
- vCMP guest sizing allocates cores and memory explicitly; oversubscription is not available the way it is on general hypervisors.
- Cloud instance families differ in network performance; the instance's network cap can bind before the licence does.
- State the binding constraint in the design so the reviewer can see what would need to change to scale further.
2.06 Evaluate variables relevant to architeching solutions using single and multi-tier F5 products in various cloud environments
O que saber:- Single-tier places all services on one BIG-IP; multi-tier separates network-layer and application-layer functions onto distinct devices.
- Multi-tier improves blast-radius isolation and lets each tier scale independently, at the cost of more devices and more hops.
- Common split: AFM and DoS at the outer tier, LTM and AWAF at the inner tier.
- Latency budget and management complexity are the arguments against multi-tier; state them honestly.
- The right answer depends on scale and organizational boundaries as much as on technology.
2.07 Evaluate the variables relevant to the design of green-field data centers and application delivery architectures to function as a cloud service provider
O que saber:- Green-field design lets you choose addressing, segmentation, and automation model from the start; take advantage of that.
- Standardize on declarative configuration (AS3, Declarative Onboarding) so the environment is reproducible from day one.
- Design the management and out-of-band access path before the data path.
- Plan for growth boundaries: route domains, partitions, and naming conventions are cheap now and expensive to retrofit.
- Document the reference architecture so subsequent applications land in a known pattern rather than a bespoke one.
2.08 Apply key concepts related to the design on-demand provisioning of application services
O que saber:- On-demand provisioning means the application service is created by API call, not by a change ticket.
- The building blocks are declarative templates plus an orchestrator that supplies environment-specific parameters.
- Idempotency is the requirement that makes this safe: applying the same declaration twice must not change the outcome.
- Service catalogs let application teams request a known-good pattern without touching device configuration.
- Design the deprovisioning path with the same rigor, or the environment fills with orphaned objects.
2.09 Evaluate variables relevant to the design of on-demand provisioning of application services
O que saber:- Variables to evaluate: how fast provisioning must complete, how often it happens, and who is authorized to trigger it.
- Template parameterization decides how much variation the catalog can absorb before it needs a new template.
- Licence availability and IP address allocation are the practical limits on how fast you can actually provision.
- Rollback behavior on partial failure must be defined explicitly.
- Audit and change-record integration is usually a requirement, not an option.
Ferramentas: as3-explainer-validator
Section 3: CLOUD MIGRATION
3.01 Evaluate variables relevant to the creation and validation of a Cloud migration plan for applications
O que saber:- A migration plan starts with an application inventory and dependency map, not with the target platform.
- Classify workloads: rehost, replatform, refactor, or retire; each has a different F5 implication.
- Validation criteria must be defined before migration so success is measurable rather than argued.
- Identify stateful components and external integrations early; these are what break migrations.
- Plan the rollback and the cutover window with equal care.
3.02 Apply key concepts required for the implementation of a Cloud migration plan for applications
O que saber:- Implementation sequence: build target, replicate configuration declaratively, validate, shift traffic gradually, then decommission.
- DNS-based traffic shifting with F5 DNS allows controlled, reversible cutover by weight or by geography.
- Configuration parity is verified by declaration comparison, not by visual inspection of two GUIs.
- Certificate and key migration is a distinct workstream with its own security handling.
- Monitor both environments during the shift so a regression is attributed correctly.
3.03 Evaluate variables relevant to the implementation of a cloud migration plan for applications
O que saber:- Bandwidth and data-transfer cost shape the migration timeline; large datasets may need offline seeding.
- Latency between tiers after a partial migration is the most common performance surprise.
- Licensing and support coverage must exist in the target before traffic arrives.
- Compliance boundaries may forbid certain data leaving a jurisdiction; confirm before designing.
- Define the point of no return explicitly, and what evidence justifies passing it.
3.04 Apply key concepts required to leverage technologies to integrate with various SDN environments
O que saber:- Integration means the F5 becomes a service the SDN controller can insert, not a device configured beside it.
- Know the mechanisms: service insertion policies, dynamic pool membership from the fabric, and API-driven configuration.
- Overlay termination (VXLAN or NVGRE) on BIG-IP lets it participate in the fabric's addressing.
- Consistency of policy between the fabric's controls and BIG-IP's controls prevents contradictory enforcement.
- Version compatibility between the fabric and the F5 integration package is a real operational constraint.
3.05 Evaluate variables rlevant to the leveraging of technologies to integrate with various SDN environments
O que saber:- Evaluate whether the fabric or the BIG-IP owns each function, and ensure exactly one of them does.
- Failure independence matters: if the controller is down, decide whether traffic continues to flow.
- Operational ownership is an organizational variable that the design must reflect, because two teams sharing one policy surface causes outages.
- Automation credentials and their scope are a security consideration in the integration.
- Test failover paths in the integrated model, not just in the standalone one.
Section 4: CLOUD DEPLOYMENT
4.01 Analyze cloud service provider instance sizing and location as it relates to BIG-IP requirements
O que saber:- Instance sizing must satisfy the licence tier, the network throughput cap, and the memory requirement of the provisioned modules.
- Provider network performance varies by instance family; check the published network ceiling, not just vCPU count.
- Placement matters: region for latency and compliance, availability zone for fault isolation.
- Multiple NICs are often required for a conventional data-plane and management separation.
- Confirm that the required instance type is available in the chosen region before committing the design.
4.02 Apply the key concepts required to deploy F5 instances on a cloud infrastructure
O que saber:- Deployment methods: marketplace image, provider-native templates, Declarative Onboarding for initial config, and AS3 for services.
- HA in cloud uses provider mechanisms (API-driven address reassignment, route table updates) rather than gratuitous ARP.
- Failover timing in cloud is bounded by provider API latency, which is slower than hardware failover; design the health-check budget accordingly.
- Instance metadata services supply identity and configuration bootstrap without static secrets.
- Security groups and network ACLs must permit both data and HA control traffic, a frequent cause of silent failover failure.
Ferramentas: do-explainer-validator
Section 5: CLOUD ORCHESTRATION AND AUTOMATION
5.01 Apply the N/E/S/W-bound API model in order to orchestrate service creation
O que saber:- The compass model: northbound APIs face orchestrators and consumers, southbound face devices, east-west face peer systems.
- BIG-IQ and automation frameworks consume BIG-IP northbound APIs to orchestrate service creation.
- Understanding direction clarifies which system owns state and which is merely instructing.
- Service creation flows from a request at the north through translation into device configuration at the south.
- The model is a vocabulary the exam uses; be able to place a given component on it.
5.02 Apply the key concepts required to automate and orchestrate using F5 RESTful APIs
O que saber:- iControl REST is the imperative API; AS3 is the declarative service layer; Declarative Onboarding handles device-level bootstrap.
- Authentication uses token-based sessions; tokens expire, which automation must handle rather than ignore.
- Prefer declarative for services because it is idempotent and diffable; use imperative for operations declarations do not cover.
- Transactions allow multiple imperative changes to be applied atomically.
- Error handling and retry with backoff are part of a correct implementation, not an enhancement.
Ferramentas: curl-command-builder5.03 Evaluate the variables relevant to automation and orchestration using F5 RESTful APIs
O que saber:- Evaluate API rate limits, concurrency, and the effect of large declarations on device CPU.
- Version compatibility between the automation toolchain and TMOS is a recurring operational constraint.
- Secrets handling for API credentials must be defined; embedded credentials in playbooks are a finding.
- Decide the source of truth: if the declaration is authoritative, out-of-band GUI changes must be treated as drift.
- Test declarations against a non-production device before promotion.
Ferramentas: curl-command-builder5.04 Apply the key concepts required to design a cloud bursting solution
O que saber:- A bursting design needs a trigger metric, a target environment kept warm enough to accept traffic, and a steering mechanism.
- F5 DNS with health and capacity awareness is the usual steering layer for cross-environment bursting.
- Pre-provisioning versus on-demand provisioning of the burst target is a cost-versus-latency trade.
- Data access from the burst location determines whether bursting is viable at all.
- Define the scale-down criteria and the state-drain procedure alongside the scale-up path.
5.05 Evaluate the variables relevant to design a cloud bursting solution
O que saber:- Variables: how quickly capacity must appear, how long it is needed, and what it costs per unit time.
- Licence availability in the burst environment can be the binding constraint, not compute.
- Session persistence and cache warmth affect user experience during the shift.
- Monitoring must distinguish burst traffic from baseline so the trigger can be tuned.
- Verify the full cycle in a test: scale up, serve, scale down, and confirm no orphaned resources remain.
5.06 Determine how to utilize cloud deployment templates to create on demand provisioning of application services
O que saber:- Cloud deployment templates encode the infrastructure and the F5 configuration together so a service is reproducible.
- F5 publishes templates per cloud provider; they typically pair provider-native infrastructure definitions with Declarative Onboarding and AS3.
- Templates parameterize what varies (sizing, addressing, licence) and fix what should not vary.
- Version-control the templates; the template is the artifact under change management, not the running device.
- Templates support both single-instance and clustered patterns; choose the one matching the availability requirement.
Ferramentas: as3-explainer-validator5.07 Evaluate cloud deployment templates for the creation of on-demand provisioning of application services
O que saber:- Evaluate a template on completeness, idempotency, parameter surface, and whether it produces a supportable configuration.
- Check what the template does on update as well as on create; some replace rather than modify.
- Confirm the template's assumptions about networking match the target environment.
- Review the security posture the template ships with, particularly management access exposure.
- Prefer templates that separate infrastructure from service configuration so each can evolve independently.
Ferramentas: as3-explainer-validator5.08 Apply the key concepts required to create a workflow for dynamic provisioning of an F5 instance
O que saber:- A dynamic provisioning workflow: trigger, instance launch, onboarding declaration, service declaration, health verification, and registration with the steering layer.
- Each step must be idempotent and independently verifiable so partial failure is recoverable.
- Licensing is the step most likely to fail intermittently; design explicit handling for it.
- Registration and de-registration with DNS or the load-balancing tier bracket the instance lifetime.
- Emit logs and events at each stage so the workflow is debuggable after the fact.
Ferramentas: do-explainer-validator5.09 Apply the key concepts required to create a workflow for dynamic provisioning of an F5 instance
O que saber:- Decommissioning is half the workflow: drain connections, de-register, revoke the licence where applicable, then terminate.
- Guard against orphaned resources: addresses, licences, DNS entries, and monitoring registrations all leak if unhandled.
- Concurrency control prevents two provisioning runs from colliding on the same addresses or names.
- Naming and tagging conventions make automated cleanup possible; adopt them at design time.
- Test the workflow's failure paths deliberately, because the happy path is not what breaks in production.
Ferramentas: do-explainer-validator
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