3V0-24.25 Exam Dumps - Advanced VMware Cloud Foundation 9.0 vSphere Kubernetes Service

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 defines aVCF CLI contextas aconfiguration setfor a specific endpoint (for example, a Kubernetes cluster, vSphere Supervisor, or VCF Automation) and explains that a context stores the key connection parameters such asendpoint,context type,path to kubeconfig, andcredentials. This aligns directly with optionC, because vcf context create is used to create anamedcontext that encapsulates the access parameters needed to work with a specific Supervisor or VKS cluster and to switch between multiple environments without rewriting configuration each time.

The documentation further shows vcf context create being used to connect either to aSupervisor endpointor to aworkload (VKS) cluster(by providing workload cluster name/namespace or by using a generated kubeconfig), which is exactly the multi-tenant operational pattern in the question. While authentication is part of what happens during context creation (for example, creating a configuration that includes a JWT for Kubernetes API access), the command’s purpose is broader: it creates the reusablecontextobject that defineswhereandhowthe CLI connects.

In Kubernetes RBAC, cluster-wide permissions are defined withClusterRoleand granted to a user, group, or service account by creating aClusterRoleBinding. The VCF 9.0 documentation for VKS cluster access describes the RBAC workflow used to grant access: first you “define a Role or ClusterRolefor the user or group,” and then you “create a RoleBinding or ClusterRoleBindingfor the user or group and apply it to the cluster.” This wording reflects the RBAC distinction:RoleBindingis scoped to a namespace, whereasClusterRoleBindingis used when the permissions must apply at thecluster scope(cluster-wide resources and/or across namespaces).

VCF 9.0 further illustrates the purpose of ClusterRoleBinding in a token-auth example: it lists the required objects, including “ClusterRole: This defines the access to the Kubernetes cluster” and “ClusterRoleBinding: This binds the created Service Account with the defined ClusterRole.” That binding step is what grants the subject the cluster-level privileges defined in the ClusterRole, makingClusterRoleBindingthe correct object for permissions to cluster-wide resources.

In Workload Management, updating the Supervisor and updating VKS clusters are related but distinct lifecycle operations. The Supervisor runs its own Kubernetes distribution, while VKS clusters consume vSphere Kubernetes releases (VKrs). These are “delivered differently,” with Supervisor Kubernetes releases and VKrs each having their own release cadence and compatibility constraints. As a result, successfully updating the Supervisor control plane does not automatically change the Kubernetes version running inside an existing VKS workload cluster; the VKS cluster must be updated to a compatible VKr separately. This mismatch is exactly why an application can still fail after a Supervisor update: the DevOps engineer is still deploying onto a cluster that hasn’t been updated to the Kubernetes version required by the application (or by the API versions/features it depends on). Additionally, Workload Management enforces sequential minor-version updates and compatibility checks between Supervisor and VKrs, so the correct remediation is to update the VKS cluster to an appropriate VKr that satisfies both application needs and Supervisor compatibility.

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 design guidance for theSupervisor NSX Load Balancer modelstates that theNSX load balancers run on NSX Edges, and sets explicit sizing requirements at theEdge nodelevel. In the “NSX Load Balancer Design Requirements,” VCF 9.0 requires that theNSX Edge cluster must be deployedbecause “NSX Load Balancers run on NSX Edges.” It further requires that“NSX Edge nodes must be deployed with a minimum of Large form factor”because NSX load balancers havefixed resource allocations on NSX Edge nodes, and the Large form factor is needed to accommodate basic system and workload needs.

This directly ties “deployment size” of the load balancer service capacity to theEdge node form factor(Small/Medium/Large, etc.) rather than the number of pods or the number of clusters. The document also notes that if additional load balancers are required, NSX Edges can bescaled up or out, again reinforcing that sizing is anEdge nodesizing decision.

VCF 9.0 documentation emphasizes that administrators commonly work withmultiple Kubernetes contexts(Supervisor context, namespace contexts, and workload-cluster contexts), and mustswitch to the correct contextbefore running kubectl commands against a specific target. It explains that when you connect, the CLI generates and appends contexts into the kubeconfig, and you thenswitch between contextsusing the context-management commands (for example, listing contexts and using a specific context).

It further describes the correct pattern for interacting with a VKS workload cluster: obtain or generate theworkload-cluster kubeconfig/context, then run kubectl (such as kubectl get nodes) against that workload cluster context.

In this scenario, the errors appear while attempting cluster operations after a Supervisor update, which strongly indicates kubectl is not pointed at the intended endpoint/context (for example, still using a Supervisor/namespace context or an incorrect kubeconfig entry). Because VCF explicitly calls out context creation andcontext switchingas required steps to target the correct cluster, the most verified cause among the options isbeing in the wrong cluster context.

In VCF 9.0 Workload Management, avSphere Namespaceis the construct that “sets the resource boundaries” for workloads running on a Supervisor, includingCPU, memory, and storage. The documentation explicitly states that a vSphere Namespace “sets the resource boundaries forCPU, memory, storage, and also the number of Kubernetes objects that can run within the namespace.” In the operational procedure “Set Resource Limits to a vSphere Namespace,” VMware further lists the configurable limits as:CPU(“set a limit to the CPU consumption”),Memory(“set a limit to the memory consumption”), andStorage(“set a limit on the storage consumption… per storage policy that is used”).

By contrast,Containersare not a namespace “resource limit” category; VMware documents “Container Defaults” separately (defaults for container CPU/memory requests and limits) rather than a top-level resource limit type. Similarly,Servicesare governed under “Object Limits” (how many Kubernetes objects like Services can exist), which is distinct from resource limits. Therefore, the three resource limitations defined on a vSphere Namespace areCPU, Memory, and Storage.