3V0-24.25 Practice Questions

A Virtual Machine Class (VM Class) in VMware vSphere with vSphere Supervisor is a policy-driven construct used to define the resource footprint of virtual machines managed via the Kubernetes API. Within the VCF 9.0 ecosystem, the VM Class acts as a blueprint that specifies the amount of virtual CPU (vCPU) and Memory (RAM) allocated to a VM instance. This abstraction allows developers to request standardized sizes (such as " best-effort-small " or " guaranteed-large " ) without requiring direct access to the underlying ESXi host configurations.

In the context of the vSphere Kubernetes Service (VKS), when a user deploys a VirtualMachine object or a Tanzu Kubernetes Cluster node, the system references the assigned VM Class to determine the resource reservations and limits. The vSphere Supervisor ensures that the hypervisor correctly allocates these compute resources based on the specified class. While specialized VM Classes can be created to support advanced hardware like GPUs (using PCI passthrough), the primary and mandatory resources defined in every VM Class are CPU and Memory. Storage is managed independently through StorageClasses and Persistent Volume Claims (PVCs), while networking is governed by the Supervisor Namespace ' s network settings. By centralizing these compute definitions, VCF 9.0 provides a consistent, scalable method for platform administrators to manage hardware resources while offering self-service capabilities to DevOps teams.

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.

The deployment of the vSphere Supervisor in VMware Cloud Foundation (VCF) 9.0 requires a highly available and automated underlying vSphere cluster configuration. Two mandatory prerequisites for enabling the Supervisor are the use of a vSphere Distributed Switch (VDS) and the activation of vSphere HA and Fully Automated DRS.

First, the networking requirement mandates that all ESXi hosts in the cluster are connected to a vSphere Distributed Switch (A). This is necessary because the Supervisor utilizes advanced networking features for its primary components, including the Supervisor Control Plane VMs and the integration with either NSX or the vSphere Distributed Switch-backed networking for workload clusters. Standard Switches (VSS) do not provide the centralized management or the necessary feature set to handle the dynamic networking requirements of Kubernetes pods and services within the SDD

C.  

Second, the cluster must have vSphere HA and Fully Automated DRS (D) enabled. vSphere HA ensures the resilience of the Supervisor Control Plane VMs; if a host fails, HA restarts the control plane nodes on remaining hosts to maintain the Kubernetes API ' s availability. Fully Automated DRS is critical because the Supervisor ' s lifecycle manager relies on DRS to handle the initial placement and ongoing balancing of the control plane VMs and workload resources. If DRS is set to " Partially Automated " or is disabled, the system cannot automatically ensure that the Kubernetes control plane is optimally placed across the cluster ' s compute resources, leading to potential deployment failures or performance bottlenecks. These requirements ensure that the VCF 9.0 infrastructure provides the enterprise-grade stability required for modern, containerized applications.

When you build Kubernetes-aware policy constructs, “groups” are commonly used to collect objects so you can apply consistent controls (security posture, traffic rules, observability scope, etc.) to a set of endpoints. In VCF 9.0 documentation, the Kubernetes member types that can be used for group-based collection includeKubernetes NodeandKubernetes Serviceas supported member object categories. Nodes represent the worker compute endpoints that run workloads, while Services represent stable networking front-ends for sets of pods (and are often the anchoring object for policy and routing decisions at the Kubernetes layer). Using Node-based grouping helps apply policies to the infrastructure execution points where workloads run, and Service-based grouping helps apply policies consistently to application entry points and east-west communication targets, regardless of pod churn. This combination is especially useful in Kubernetes-centric operational models because it aligns policy scope with both (1) where workloads execute (nodes) and (2) how workloads are exposed and discovered (services).

Answer (Correct Order):

Run the install command:velero install … --provider aws --bucket < bucket > … --plugins … --backup-location-config …

Apply BackupStorageLocation YAML.

Apply VolumeSnapshotLocation YAML.

Run test backup:velero backup create test-backup --include-namespaces " myapp1 "

The correct sequence follows Velero’s operational model: install the Velero components first, then define where backups and snapshots are stored, and finally validate with a real backup. In VCF 9.0, the Velero Plugin for vSphere installation command includes parameters for the object-store provider, bucket, and plugin images, which establishes the Velero control plane in the target namespace and prepares it to communicate with an S3-compatible store.

After the installation is in place, you apply theBackupStorageLocationconfiguration so Velero has a durable destination for Kubernetes backup metadata in the object store. This aligns with the VCF 9.0 guidance that backups upload Kubernetes metadata to the object store and require S3-compatible storage for backup/restore workflows.

Next, apply theVolumeSnapshotLocationso Velero knows how and where to create/track volume snapshots for stateful workloads. The VCF 9.0 install example explicitly includes snapshot/backup location configuration parameters, reflecting that both must be set for complete protection.

Finally, run a test backup scoped to the namespace (--include-namespaces=my-namespace) to confirm end-to-end functionality.