VMware 3V0-24.25 Exam With Confidence Using Practice Dumps

In Kubernetes, the component that actuallycreates and runs workloads on a nodeis thekubelet. The kubelet is the node agent that ensures the containers described by PodSpecs are running on that node. VCF 9.0 maps this concept directly into vSphere Supervisor by describingSphereletas “a kubelet that is ported natively to ESXi and allows the ESXi host to become part of the Kubernetes cluster,” showing that kubelet functionality is responsible for running workloads on worker nodes (ESXi hosts in the Supervisor case).

The other options have different roles:etcdis the control plane data store,API Serveris the front-end for Kubernetes API operations, and theSchedulerdecides placement (which node should run a pod). VCF 9.0 even calls out that “the Kubernetes scheduler… cannot place pods intelligently” without visibility into vCenter inventory—reinforcing that scheduling is about placement decisions, not the act of creating/running the workload on the node.

So, while the scheduler selects where a pod should run, thekubeletis the component responsible for actually instantiating and maintaining the workload on the target node.

The error shows an admission webhook denial wherevariable validation failedand multiple entries under spec.topology.variables[...] are reported as“variable is not defined”. That message indicates the manifest is supplying variables that arenot part of the current Cluster API / topology schemaenforced by the Supervisor during cluster creation. In VKS, cluster provisioning isdeclarative: you invoke the VKS API withkubectl + a YAML file, and “after the cluster is created, you update the YAML to update the cluster.” When the API/schema changes between releases, older manifests can contain fields/variables that are no longer recognized, and the admission webhook blocks them to prevent creating an invalid cluster spec.

This aligns with VMware’s broader direction that the olderTanzuKubernetesCluster (TKC) API was deprecatedand customers are encouraged to useCluster APIfor bootstrap/config/lifecycle management. In practice, to complete the upgrade/creation successfully, you must update the cluster manifest to match the supported schema:remove the deprecated/unknown topology variablesshown in the error (for example, the undefined storage-policy and trust variables) and re-apply the correctedworkload.yaml.

Provided by Service Mesh (choose three, in order):

Federation

Graphical User Interface

Observability

A service mesh is an application networking layer that managesservice-to-service communicationacross Kubernetes clusters, providing consistent connectivity, policy enforcement, and visibility without requiring application code changes.Federationis a service-mesh capability because modern meshes (especially multi-cluster/enterprise implementations) can connect services across multiple clusters and environments, enabling shared identity, cross-cluster service discovery, and uniform policy application (often described as multi-cluster or federated service connectivity). AGraphical User Interfaceis commonly provided alongside the service mesh platform to centrally configure policies (traffic routing, access controls, security settings) and to visualize service topology and health.Observabilityis a core service-mesh outcome: by inserting sidecar proxies (or equivalent dataplane components) into the data path, the mesh can generate consistentmetrics, logs, and distributed tracesfor service traffic, enabling latency/error monitoring and dependency mapping.

The other options are not service-mesh features:Autoscalingis handled by Kubernetes/HPA and metrics pipelines,application backupis typically provided by backup tools (e.g., Velero-like solutions), anddatabase connection managementis handled by application frameworks or database proxies rather than the service mesh itself.