3V0-24.25 Questions and Answers

Harbor reduces the risk of running vulnerable or tampered images primarily throughvulnerability scanningandimage signing.Vulnerability scanning (E)detects known CVEs in image layers (OS packages and application dependencies, depending on the scanner configuration). This allows teams to identify—and gate the use of—images that contain high/critical vulnerabilities before those images are deployed to Kubernetes clusters. Enforcing scanning as part of the image promotion process helps prevent outdated images with known CVEs from being pulled into production.Image signing (A)provides integrity and provenance controls by enabling consumers to verify that an image was produced and approved by a trusted publisher and has not been altered. When combined with admission controls/policies (for example, only allowing signed images from specific projects), signing helps block unauthorized or unapproved images from being deployed, which is critical when the incident involves exposed internal APIs and supply-chain risk.

The other choices do not directly prevent recurrence:automatic image update (B)is not a core Harbor registry control,deploy both container and VM images (C)is a content capability rather than a security control, andautomatic image validation (D)is not a standard Harbor registry capability distinct from signing/scanning.

Comprehensive and Detailed 150 to 250 words of Explanation From Exact Extract of VMware Cloud Foundation (VCF) 9.0 + vSphere Supervisor + vSphere Kubernetes Service documents :

In VMware Cloud Foundation 9.0, the documented “group” construct for collecting and managing Kubernetes objects is implemented as generic groups with Kubernetes member types that can be used for policy-driven operations (for example, securing traffic between infrastructure workloads and Kubernetes workloads). The documentation explicitly states that you can “create generic groups with Kubernetes member types in dynamic membership criteria” and then use these groups in firewall rules to secure traffic involving Kubernetes clusters.

The same section provides a table of Kubernetes member types available for group membership criteria, and it explicitly lists Kubernetes Node (cluster scope) and Kubernetes Service (namespace scope) as supported member types. This maps directly to the answer choices Node and Service as the two valid “types” that can be used to build logical collections of Kubernetes objects for consistent management and policy enforcement.

The other answer options do not match the documented Kubernetes member types. “Security” and “API” are not Kubernetes member types in the group criteria model, and while “Kubernetes Cluster” is also a listed member type, the question asks for two, and Node and Service are the most direct object types for grouping runtime endpoints and service front-ends.

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.

In Kubernetes terms,non-persistentpod data (for example, transient logs and scratch space) is handled byephemeral storage, meaning the data exists only for the lifetime of the pod/workload and is not meant to survive beyond it. In the VCF Workload Management documentation, this concept is described directly: a pod requiresephemeral storageto store transient Kubernetes objects such as “logs” and “emptyDir volumes,” and this ephemeral (transient) storage “lasts as long as the pod continues to exist,” disappearing when the pod reaches end of life.

While VKS clusters can also consumepersistent storagethrough storage classes and CSI integration for stateful needs, that is specifically for data that must be retained (persistent volumes/claims). The question asks specifically aboutnon-persistentpod data, which aligns with the documented ephemeral/transient storage behavior for pod runtime needs. Therefore, the correct choice isEphemeral storage.

A ReplicaSet is a core Kubernetes workload controller used in VKS clusters to maintainavailability and steady-state capacityfor stateless applications. Its primary purpose is to ensure that adesired number of identical pod replicasare running continuously. If a pod is deleted, crashes, or is evicted because a node fails, the ReplicaSet detects that the current number of matching pods has dropped below the target and immediately creates replacement pods to restore the requested replica count. Conversely, if too many matching pods exist (for example, due to manual creation or a transient surge), it scales down by deleting excess pods to return to the desired state.

This behavior makes ReplicaSets foundational to reliable, self-healing application operation in Kubernetes and therefore in VKS. In practice, administrators and DevOps teams usually interact with ReplicaSets indirectly through higher-level controllers likeDeployments, which manage rolling updates and revisions while using ReplicaSets underneath to enforce the replica count for each version of an application. Options A, B, and D map to other Kubernetes objects (Service, StatefulSet, and DaemonSet respectively), not ReplicaSet.

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.

In VMware Cloud Foundation 9.0 and vSphere Supervisor architectures, the decision to deploy aSingle-Zoneor aMulti-ZoneSupervisor is made at the time ofinitial enablement. A Single-Zone Supervisor is tied to a specific vSphere Cluster. A Multi-Zone Supervisor requires a minimum of three vSphere Zones (each mapped to a cluster) to be defined before the Supervisor is deployed so that the Control Plane VMs can be distributed for high availability.

Currently, there is no supported " in-place " migration path to convert a deployed Single-Zone Supervisor into a Multi-Zone Supervisor by simply adding zones later. If an organization requires the high availability provided by a three-zone architecture, the administrator must decommission the existing Single-Zone Supervisor and then re-enable the Supervisor Service using the Multi-Zone configuration wizard. This design ensures that the underlying Kubernetes Control Plane components are correctly instantiated with the necessary quorum and anti-affinity rules that can only be established during the initial " Workload Management " setup phase.

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.

VCF 9.0 describes a standardized approach to deploying optional capabilities on VKS clusters viastandard packages. In the VCF Automation cloud services overview, VMware listsIstioamong the packages that “can be optionally installed” for VKS. For installing those packages, the VCF CLI provides a dedicatedpackage pluginthat “works on a workload cluster” and exposes explicitinstallworkflows.

The VCF CLI command reference shows the syntax for installing a package:

vcf package install INSTALLED_PACKAGE_NAME --package PACKAGE_NAME --version VERSION (with optional values files and overlays). This is the supported, VCF-aligned way to install standard packages such as Istio onto a VKS workload cluster in a controlled, declarative manner, including tracking reconciliation status and providing configuration via a values file.

Options that rely on ad-hoc downloads (curl) or building tooling (docker build) do not match the documented VCF package-management workflow for VKS standard packages. Therefore, the correct command family isvcf package install.

Hosts and Clusters

To create avSphere Zone(used as a Supervisor Management Zone and/or Workload Zone), the administrator must start from the vSphere Client inventory wherevCenterand its clusters are managed. That’s why the correct starting point in the “Inventories” toolbar isHosts and Clusters—it is the entry point used to select the vCenter object and the target clusters.

VCF 9.0 documents the zone-creation workflow as:navigate to vCenter, thenSelect Configure, thenselect vSphere Zones, and finally clickAdd New vSphere Zone. After naming the zone, youselect a vSphere cluster to add to the zoneand finish the wizard.

This sequence matches the intent of the hotspot: you must first open the inventory view that exposes vCenter and clusters (Hosts and Clusters), then perform the configuration steps under vCenter to define vSphere Zones. Once created, these zones can later be selected during Supervisor deployment (for multi-zone placement) or assigned to namespaces for workload placement.

cert-manager addresses the operational risk described (manual creation/renewal causing outages) by making certificate lifecycle management anative, declarative Kubernetes workflow. Instead of treating TLS certificates as manually managed files, cert-manager extends the Kubernetes API with custom resources such asCertificate,Issuer, andClusterIssuer, so certificates and their issuing policies become first-class objects that can be version-controlled and automatically reconciled. This directly satisfies the requirement to usetrusted certificates issued through the corporate CA, because an Issuer/ClusterIssuer can represent that corporate CA integration and define how certificate requests are fulfilled. Once configured, cert-manager continuously monitors certificate validity andautomatically renews and rotatescertificates before expiration, then updates the referenced Kubernetes Secrets so Ingress endpoints remain protected without human intervention. In a vSphere Supervisor / VKS environment, VMware also uses cert-manager on the Supervisor for automated certificate rotation in platform integrations (for example, rotating certificates used by monitoring components), reinforcing the model of automated rotation rather than manual certificate handling.

In a vSphere Kubernetes Service (VKS) environment, resource management follows aDeclarative Model. When an administrator uses kubectl edit deployment to manually scale a running workload from 5 to 10 replicas, they are modifying thelive stateof the deployment. However, thesource of truthfor a Tanzu Kubernetes cluster in VCF 9.0 is theCluster YAML specificationmaintained by the Cluster API (CAPI) provider within the Supervisor.

If the administrator redeploys the cluster or if the Supervisor’s controller performs a reconciliation loop, it refers back to the original configuration file. If that cluster YAML file still defines the replica count as 5, the Supervisor will terminate the 5 " extra " pods to match the desired state defined in the configuration. This is a common administrative pitfall; for changes to be persistent across redeployments or updates in VCF 9.0, the underlying manifest (the " Desired State " ) must be updated. Manually editing the live object only provides a temporary change that will be overwritten during the next synchronization or lifecycle event because the cluster YAML file was not updated to reflect the requested increase.

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.