support@Free-Braindumps.com
Register Login
Cisco
CompTIA
ISC
EC-Council
EXIN
Fortinet
ITIL
Juniper
Microsoft
VMware
Avaya
SAP
Google
NVIDIA
Salesforce
Amazon
Palo Alto Networks
ISC2
Splunk
ServiceNow
All Vendors
  1. Home
  2. Exams
  3. VMware
  4. 3V0-24.25

VMware 3V0-24.25 Exam Actual Questions
Advanced VMware Cloud Foundation 9.0 vSphere Kubernetes Service (Page 3 )

Updated On: 26-Jun-2026
Page 2 of 9
PDF with 61 Questions

An administrator must create amulti-zone vSphere Supervisor deployment in a VMware Cloud Foundation (VCF) environment. What is the primary purpose of this configuration?

  1. To create isolated security domains using NSX micro-segmentation.
  2. To enable cross-site vSAN stretched clusters for data replication between data centers.
  3. To provide high availability for the Supervisor Cluster and vSphere Kubernetes clusters.
  4. To simplify the management of network pools and IP address ranges.

Answer(s): C

Explanation:

Amulti-zone Supervisorin VCF 9.0 is designed to deliverplatform resiliency and high availability at the vSphere cluster (zone) failure-domain level. The VCF 9.0 documentation states that a multi-zone Supervisor "leverages three vSphere clusters" (each mapped to a vSphere Zone) and that these zones are used by both "workloads and Supervisor management components to deliver high availability, " exposing "each cluster as an independent, consumable availability zone, " resulting in a "resilient, HA-capable platform."

This is reinforced in the vSphere Zones guidance: deploying the Supervisor onthree vSphere Zones spreads the control plane VMs across three zones, providing "cluster-level high availability" that protects the Supervisor control plane against asingle cluster-level failure(one control plane VM per management zone).

Because VKS (vSphere Kubernetes Service) runs on Supervisor, distributing Supervisor control plane and workload placement across zones improves overall availability of Supervisor services and Kubernetes consumption in that Supervisor instance.



An administrator runs several critical workloads on vSphere Kubernetes Service (VKS). An audit identified an outdated container image with a known CVE that exposed internal APIs to unauthorized access. To mitigate this risk and enhance image security, the administrator enabled Harbor as a Supervisor Service.

Which two Harbor registry capabilities help the organization prevent a recurrence of this type of security incident? (Choose two.)

  1. Image signing
  2. Automatic image update
  3. Deploy both container and virtual machine images
  4. Automatic image validation
  5. Vulnerability scanning

Answer(s): A,E

Explanation:

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.



A company standardized on the following configurations:

· vSphere Kubernetes Service (VKS) upgrade is separate from vCenter upgrades.

· A private registry will be utilized.

How should an administrator adhere to these standards?

  1. Issue a PowerCLI command to point to the private registry.
  2. Issue a kubectl command pointing the service definition to the private registry.
  3. When uploading the service definition, chooseAsynchronous Private.
  4. When uploading the service definition, chooseAsynchronous Public.

Answer(s): C

Explanation:

VCF 9.0 documentation explicitly indicates thatvCenter upgrades and the Supervisor/cluster (Workload Management) upgrade are distinct, noting that "if you have only upgraded vCenter and not the cluster" then DevOps engineers have reduced permissions until the cluster is upgraded. This supports the stated standard that VKS/Workload Management lifecycle can be treated separately from vCenter. For the private registry requirement, VCF 9.0 provides an operational mechanism to authenticate and pull artifacts from private registries: "Registry secrets allow package and repository consumers to authenticate to and pull images from private registries, " implemented via a standard Kubernetes Secret of type kubernetes.io/dockerconfigjson.

Taken together, the standard implies (1)asynchronoushandling (separate lifecycle from vCenter) and (2)privatesourcing (images pulled from an internal registry with registry secrets). Therefore, selectingAsynchronous Privatebest matches both requirements in a single configuration choice, aligning with the documented separation of upgrades and the documented need to use authenticated access to private registries.



An administrator is deploying vSphere Kubernetes Service (VKS) to support containerized workloads across multiple regions. Each region hosts a dedicated Workload Domain with Supervisor instances deployed on vSphere Distributed Switch (VDS) networking. The organization's security policy requires that pod-to-pod and pod-to-service communications be fully observable and controllable at the Kubernetes layer, without introducing additional licensing or overlay complexity.

When deploying a Supervisor, which CNI should the administrator select as the default supported option?

  1. Antrea
  2. Calico
  3. Flannel
  4. Cilium

Answer(s): A

Explanation:

VCF 9.0 explicitly documents thatVKS supports two CNI options: Antrea and Calico, and that thesystem-defined default CNI is Antrea. This directly eliminates Flannel and Cilium as default supported options for VKS clusters on Supervisor in this context. VCF 9.0 also describes how a vSphere administrator can view or change this setting in the vSphere Client underSupervisor Management Configure Kubernetes Service Default CNI, further reinforcing that Antrea is the baseline/default choice.

From a policy perspective in the question, the requirement is Kubernetes-layer observability and control of pod communications "without additional licensing or overlay complexity." Antrea is presented in VCF 9.0 as the default CNI and is implemented usingOpen vSwitch, with networking and network policy capabilities provided at the Kubernetes layer for pods and services. Because it is the documented default (and supported) option for new VKS clusters, selectingAntreabest aligns with the "default supported option" requirement.



What tool can be used to back up and restore workloads on clusters provisioned by vSphere

Supervisor?

  1. Velero
  2. VMware Live Recovery
  3. Restic
  4. Site Recovery Manager

Answer(s): A

Explanation:

VMware Cloud Foundation 9.0 documents a dedicated backup-and-restore approach forWorkload Managementwhere different components use different tools. Forworkloadsrunning on vSphere Supervisor­based 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).



DRAG DROP (Drag and Drop is not supported)

Drag and drop the three features into the correct order from Possible Features list on the left and place them into the Provided by Service Mesh on the right side. (Choose three.)

  1. See Explanation for the Answer.

Answer(s): A

Explanation:

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.



An administrator enabled cluster scaling by running kubectl edit deployment and updating the number of replicas from 5 to 10. When the cluster was redeployed with the number of replicas set to 5, what was the result?

  1. The cluster did not have sufficient resources to deploy the requested number of pods.
  2. The autoscaling YAML file was not updated.
  3. The cluster YAML file was not updated to reflect the requested number of pods.
  4. The Supervisor YAML file was not updated to enable autoscaling.

Answer(s): C

Explanation:

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.



An administrator is upgrading an existing VMware vSphere Kubernetes Service (VKS) cluster and receives the following errors:

kubectl get nodes fails with memcache.go and "server is currently unable to handle the request"

couldn't get resource list for stats.antrea.tanzu.vmware.com/v1alpha1

yaml: mapping values are not allowed in this context

The administrator successfully updated the Supervisor, but an attempt to update the VKS cluster failed. Based on the scenario, what is the cause of the problem?

  1. The administrator is in the wrong cluster context.
  2. The Kubernetes version being upgraded is no longer supported.
  3. There was an error pulling the update image from the catalog.
  4. The administrator does not have the appropriate permissions to upgrade the cluster.

Answer(s): A

Explanation:

The errors described--specifically the memcache.go failure, the inability to fetch resource lists for Antrea, and the YAML context error--are classic symptoms of aConfiguration Context mismatch. In VCF 9.0, there are two distinct layers of API interaction: theSupervisor Cluster API(used for management tasks like creating clusters) and theGuest Cluster API(used for deploying workloads within the VKS).

When an administrator upgrades a Supervisor, the API endpoint or the available API groups may change. If the administrator attempts to run kubectl commands against a VKS cluster while their kubeconfig context is still pointing to the Supervisor (or vice versa), the client will encounter "mapping values" errors and "unable to handle request" errors because it is sending requests to an endpoint that does not recognize those specific resource definitions (like Antrea stats in the wrong context). To resolve this, the administrator must ensure they have switched to the correct context using kubectl config use-context <cluster-name> after the Supervisor update to ensure the local client is communicating with the correct API server and version of the Kubernetes binaries.



  PDF
Viewing page 3 of 9
Viewing questions 17 - 24 out of 61 questions


Post your Comments and Discuss VMware 3V0-24.25 exam prep with other Community members:

AI Tutor AI Tutor 👋 I’m here to help!