VMware Advanced VMware Cloud Foundation 9.0 vSphere Kubernetes Service 3V0-24.25 Exam Dumps: Updated Questions & Answers (February 2026)

VKS cluster lifecycle is managed using adeclarative API: you usekubectl with a YAML fileto specify the desired state of the cluster (for example: “how many nodes,” Kubernetes version, sizing, and storage). After the cluster is created, youupdate the YAMLto update the cluster. This is why the correct operational approach is to modify the cluster manifest (cluster.yaml) rather than deleting and redeploying.

Additionally, VKS uses multiple controller layers, whereCluster APIand theVirtual Machine Serviceare responsible for provisioning and managing the lifecycle of the control plane and worker node VMs that make up the VKS cluster. In other words, when you change the declared state for control plane sizing/replica count in the cluster YAML, the platform reconciles to that new state by adjusting the underlying control plane VMs through the supported controllers, instead of requiring disruptive “tear down and rebuild” operations.

So, editing the cluster.yaml to adjust the control plane replica count is the method that matches the documented VKS declarative operations model and controller-driven reconciliation.

VCF 9.0 describes Supervisor networking with NSX as a model whereNSX provides network connectivity to Supervisor control plane VMs, services, and workloads, and where the Supervisor can use either the NSX Load Balancer or the Avi Load Balancer. In the NSX + Avi design, the documentation identifies theAvi Load Balancer Controlleras a core infrastructure element: the Controller “interacts with vCenter to automate the load balancing for the VKS clusters,” and is responsible for provisioning and coordinating Service Engines and exposing operational interfaces.

Also, the Supervisor itself is anchored by theSupervisor control plane virtual machines. VCF 9.0 explains you deploy the Supervisor with one or three control plane VMs, and in a three-zone Supervisor the control plane VMs are distributed across zones for high availability.

Finally, because the requirement explicitly calls for a unified networking/security model throughNSX, theNSX Manager virtual machineis foundational to the NSX-based Supervisor design, as shown in the documented architecture and component descriptions for NSX-backed Supervisor deployments.

VCF 9.0 explains that VKS releases are distributed throughcontent libraries, and that when you configure asubscribed content libraryyou can choose how content is downloaded and synchronized. Critically for constrained storage sites, the documentation states you can selecton-demand (“when needed”)download so thatonly the metadatais synchronized, and theactual image content is not downloadeduntil you explicitly need it—“as a result storage space is saved.”

This directly addresses the problem of a remote site with minimal datastore capacity: choosingWhen neededprevents the subscribed library from immediately caching all published VKS images locally. The vSphere content library guidance reinforces this behavior: with “download contents only when needed,” the system synchronizesmetadata only, which “saves storage space,” and you download a specific item’s content only when you synchronize that item for use.

Therefore, selectingDownload content → When neededis the correct action to avoid consuming all available datastore space.

VCF 9.0 explains pod fundamentals by describing how Workload Management introducesvSphere Pods, stating a vSphere Pod is “equivalent of a Kubernetes pod” and that it “runs one or more Linux containers.” This directly eliminates optionB, because a pod can includeone or morecontainers (not only one).

The vSphere 9.0 documentation further defines a KubernetesPodas “a group of one or more containerized applications that share such resources as storage and network,” and notes the containers inside a pod are “started, stopped, and replicated as a group.” That definition reflects Kubernetes’ scheduling and lifecycle model: Kubernetes treats the pod as the primary unit it places and manages together, which is why a pod is regarded as thesmallest deployable unitfor running containerized workloads in Kubernetes. OptionsCandDare incorrect because pods are Kubernetes objects (not “managed by Docker” as a smallest entity), and Kubernetes abstracts the underlying runtime/host so pods are not defined as being “deployed directly on the virtual machine” as a characteristic.

VCF 9.0 states that you can provision Kubernetes clusters using both GUI and CLI approaches, and it explicitly calls out the CLI clients: “the VCF CLI and kubectl provide command-line interfaces for provisioning Kubernetes clusters.” That directly maps tokubectl (A)andVCF CLI (E)as supported clients for provisioning and lifecycle operations. Separately, VCF 9.0 explains that vSphere administrators can “manage and monitor vSphere Pods, VMs, and VKS clusters by using the vSphere Client,” which corresponds tovSphere UI (C)in the question. In addition, the vSphere Client is used to access Supervisor-facing self-service interfaces (for example, the Local Consumption Interface through the vSphere Client), reinforcing vSphere UI as an operational entry point for managing Supervisor-backed services and workloads.

By contrast,Cluster APIis a controller framework (not an operator “client” for admins in this context), andesxtop/esxcliare ESXi host tools that do not represent the documented, supported interfaces for provisioning and managing VKS clusters at the Kubernetes service layer.

Answer (Correct Order):

Select the target cluster in the workload domain.

Open Workload Management and select “Enable Supervisor Cluster”.

Choose cluster networking mode and stack.

Configure the control plane compute, networking, and storage policies.

Configure the workload network configurations.

Review, Validate, and Deploy Supervisor.

You start by selecting theexact vSphere cluster(in the workload domain) that will host the Supervisor, because Supervisor enablement is performedagainst a specific cluster. From there you launch the enablement workflow inWorkload Management(“Enable Supervisor Cluster”). Early in the wizard you must decide thenetworking mode(for example, VDS-based vs NSX-backed) and theIP stack, because those choices drive the remaining configuration screens and what inputs are required. Next you define theSupervisor control plane settings—compute sizing and the core policies the Supervisor will use (including storage policy selections and related defaults). After the control plane foundation is defined, you configure theworkload networkingused by namespaces and Kubernetes workloads (IP ranges, routing/LB integration depending on the selected mode). Finally, youreview/validateall inputs anddeployso the platform can create and configure the Supervisor control plane and supporting components.

VCF 9.0 positions VKS clusters as Kubernetes-native environments where platform teams install and manage “standard packages” and add-ons. In VCF Automation’s VKS overview, VMware states that a set of packages is automatically included with a VKS cluster, includingkapp-controllerandsecret-gen controller. These components are part of theCarveltoolchain used for packaging and deploying applications/configuration in a Kubernetes-friendly, declarative way.

In addition, the VCF 9.0 CLI “package” workflows explicitly supportytt overlaysduring package installation/updates (for example, --ytt-overlay-file and --ytt-overlays), which are configuration mechanisms associated with Carvel-based packaging workflows.

Helmis the other widely used Kubernetes package manager for installing and configuring applications through charts and values, and is commonly used by DevOps teams on Kubernetes clusters such as VKS for app deployment and configuration management. By contrast, Fluent Bit is a log shipper, Multus is a CNI multiplexer, and Grafana is a visualization tool—none are package management tools.

VCF 9.0 defines VKS as an upstream Kubernetes offering that isbuilt for vSphereand delivered with “well-thought-out defaults” to reduce operational burden. It states VKS provides an“opinionated installation of Kubernetes”with defaults “optimized for vSphere,” which “reduce[s] the amount of time and effort” typically spent deploying and running an enterprise Kubernetes cluster—this directly supportssimplified management and operations (A).

VCF 9.0 also emphasizes VKS is“integrated with the vSphere infrastructure”(storage, networking, authentication) and is built on a Supervisor that maps to vSphere clusters, creating a “unified product experience.” This supportsconsistent Kubernetes deployment on vSphere (B)because clusters are provisioned and operated in a standardized, vSphere-native way.

Finally, VCF 9.0 states VKS clusters “use open source Linux-based” components from VMware by Broadcom and notes key integrations (for example, CNI options) are open source—supportingleveraging open-source technologies (D).

OptionsCandEare not VKS benefits as stated: VKS targets VKS-provisioned upstream Kubernetes clusters (not “any distribution”), and “pods directly on ESXi” is described asvSphere Pods(Workload Management), not a defining benefit of VKS clusters.

Configuration Sequence (in order):

Create the vSphere Namespace

Assign the zones

Select workload networking

Assign the zonal storage policy

Define resource quotas / limits

Grant RBAC / permissions

A zonal vSphere Namespace is created as a standard namespace first, then “zonalized” by associating it with one or morevSphere Zonesso workloads can be scheduled according to zone placement rules. You start bycreating the namespacebecause it is the tenancy and governance container where networking, storage access, quotas, and permissions are applied. Next, youassign the zones, since zone association is what makes the namespace “zonal” and determines where Kubernetes workloads (and their node pools) are allowed to land.

With zones set, you configureworkload networking, because namespaces must have the correct network attachment and IP behavior for the workloads that will be placed across the selected zones. Then youassign the zonal storage policy, ensuring that persistent volumes can be provisioned using storage that is valid/available for the zone placement model you selected. After networking and storage access are defined, you setresource quotas/limits(CPU, memory, storage) so multi-tenant consumption stays within governance boundaries. Finally, yougrant RBAC/permissionsso the right DevOps/users can consume the namespace and provision clusters/workloads under the enforced controls.

VMware Cloud Foundation 9.0 documents a dedicated backup-and-restore approach forWorkload Managementwhere different components use different tools. Forworkloadsrunning on vSphere Supervisor–based Kubernetes (bothvSphere PodsandVKS cluster workloads), the documented solution isVelero, specifically theVelero Plugin for vSphereinstalled and configured on the Supervisor. The “Considerations for Backing Up and Restoring Workload Management” table explicitly lists: “Backup and restore vSphere Pods — Velero Plugin for vSphere” and “Backup stateless and stateful workloads on a VKS cluster and restore to a cluster provisioned by VKS — Velero Plugin for vSphere.”

The same section also clarifies thatSupervisor backups(via vCenter file-based backup) are for restoring theSupervisor control plane/stateand VKS node VMs—not for restoring workloads themselves—so workloads must be backed up separately.

Therefore, the correct tool for backing up and restoring workloads on clusters provisioned by vSphere Supervisor isVelero (using the Velero Plugin for vSphere).