매달, 우리는 1000명 이상의 사람들이 시험 준비를 잘하고 시험을 잘 통과할 수 있도록 도와줍니다.
Advanced VMware Cloud Foundation 9.0 vSphere Kubernetes Service 온라인 연습
최종 업데이트 시간: 2026년02월14일
당신은 온라인 연습 문제를 통해 VMware 3V0-24.25 시험지식에 대해 자신이 어떻게 알고 있는지 파악한 후 시험 참가 신청 여부를 결정할 수 있다.
시험을 100% 합격하고 시험 준비 시간을 35% 절약하기를 바라며 3V0-24.25 덤프 (최신 실제 시험 문제)를 사용 선택하여 현재 최신 300개의 시험 문제와 답을 포함하십시오.
정답:
Explanation:
VCF 9.0 describes Supervisor networking with NSX as a model where NSX provides network connectivity to Supervisor control plane VMs, services, and workloads, and where the Supervisor can use either the NSX Load Balancer or the Avi Load Balancer. In the NSX + Avi design, the documentation identifies the Avi Load Balancer Controlleras a core infrastructure element: the Controller “interacts with vCenter to automate the load balancing for the VKS clusters,” and is responsible for provisioning and coordinating Service Engines and exposing operational interfaces.
Also, the Supervisor itself is anchored by the Supervisor control plane virtual machines. VCF 9.0 explains you deploy the Supervisor with one or three control plane VMs, and in a three-zone Supervisor the control plane VMs are distributed across zones for high availability.
Finally, because the requirement explicitly calls for a unified networking/security model through NSX, the NSX Manager virtual machineis foundational to the NSX-based Supervisor design, as shown in the documented architecture and component descriptions for NSX-backed Supervisor deployments.
정답:
Explanation:
In VCF 9.0, ingress is described as part of VKS cluster networking. The documentation’s VKS Cluster Networking table lists “Cluster ingress” and identifies its role asrouting inbound pod traffic. It further clarifies that this function is delivered by athird-party ingress controller, and explicitly names Contouras an example (“you can use any third-party ingress controller, such as Contour”).
That mapping is exactly what option Adescribes: Contour is deployed to provideingresscapabilities so that inbound requests from outside the cluster can be routed to Kubernetes services and pods according to ingress rules. In other words, Contour is not a storage component (that would align to CSI/CNS/pvCSI), not a node lifecycle manager (that is handled by VKS/Cluster API/VM Service), and not an infrastructure health monitoring tool (that would be metrics/observability tooling). VCF 9.0 positions Contour specifically within theingresspart of the networking feature set, makingAthe correct answer.
정답:
Explanation:
VCF 9.0 documentation emphasizes that administrators commonly work with multiple Kubernetes contexts (Supervisor context, namespace contexts, and workload-cluster contexts), and must switch to the correct context before running kubectl commands against a specific target. It explains that when you connect, the CLI generates and appends contexts into the kubeconfig, and you then switch between contexts using 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 the workload-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 and context switching as required steps to target the correct cluster, the most verified cause among the options is being in the wrong cluster context.
정답:
Explanation:
cert-manager addresses the operational risk described (manual creation/renewal causing outages) by making certificate lifecycle management a native, declarative Kubernetes workflow. Instead of treating TLS certificates as manually managed files, cert-manager extends the Kubernetes API with custom resources such as Certificate, Issuer, and Cluster Issuer, so certificates and their issuing policies become first-class objects that can be version-controlled and automatically reconciled. This directly satisfies the requirement to use trusted
certificates issued through the corporate CA, because an Issuer/Cluster Issuer can represent that corporate CA integration and define how certificate requests are fulfilled. Once configured, cert-manager continuously monitors certificate validity and automatically renews and rotates certificates 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.
정답:
Explanation:
VCF 9.0 describes VKS as providing self-service, declarative lifecycle management for Kubernetes clusters and explicitly identifies Cluster API as the mechanism that enables Kubernetes-style lifecycle automation. The documentation states that “The Cluster API provides declarative, Kubernetes-style APIs for cluster creation, configuration, and management,” and that its inputs include resources describing “the virtual machines that make up the cluster” plus “cluster add-ons.” This directly maps to automated lifecycle management: a desired-state YAML is reconciled by controllers that create, update, and maintain the control plane and worker node resources without manual, imperative procedures.
The same VCF 9.0 content also notes VKS exposes “three layers of controllers” for lifecycle management and lists Cluster API as one of those layers, reinforcing that Cluster API is foundational for ongoing cluster operations (create, scale, upgrade, reconcile). Contour is an ingress controller (traffic routing), kubeadm is a Kubernetes bootstrap tool (not the VKS lifecycle controller framework), and Grafana is observability /visualization (not cluster lifecycle).
정답:
Explanation:
VCF 9.0 distinguishes between backing up the Supervisor control plane and backing up workloads that run on the Supervisor, including vSphere Pods. In the “Considerations for Backing Up and Restoring Workload Management” table, the scenario “Backup and restore vSphere Pods” explicitly lists the required tool as “Velero Plugin for vSphere”, with the guidance to “Install and configure the plug-in on the Supervisor.”
The same document is explicit that standalone Velero with Restic is not valid for vSphere Pods, stating: “You cannot use Velero standalone with Restic to backup and restore vSphere Pods. You must use the Velero Plugin for vSphere installed on the Supervisor.”
vCenter file-based backup is documented for restoring the Supervisor control plane state, not for backing up and restoring vSphere Pod workloads themselves. Therefore, to meet the requirement to protect third-party applications running as vSphere Pods, the architect should propose the Velero Plugin for vSphere.
정답: 
Explanation:
Provided by Service Mesh (choose three, in order):
Federation
Graphical User Interface
Observability
A service mesh is an application networking layer that manages service-to-service communication across Kubernetes clusters, providing consistent connectivity, policy enforcement, and visibility without requiring application code changes. Federation is 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). A Graphical User interface is commonly provided alongside the service mesh platform to centrally configure policies (traffic routing, access controls, security settings) and to visualize service topology and health. Observability is a core service-mesh outcome: by inserting sidecar proxies (or equivalent data plane components) into the data path, the mesh can generate consistent metrics, logs, and distributed traces for service traffic, enabling latency/error monitoring and dependency mapping.
The other options are not service-mesh features: Autoscaling is handled by Kubernetes/HPA and metrics pipelines, application backup is typically provided by backup tools (e.g., Velero-like solutions), and database connection management is handled by application frameworks or database proxies rather than the service mesh itself.
정답:
Explanation:
VCF 9.0 design guidance for the Supervisor NSX Load Balancer model states that the NSX load balancers run on NSX Edges, and sets explicit sizing requirements at the Edge node level. In the “NSX Load Balancer Design Requirements,” VCF 9.0 requires that the NSX Edge cluster must be deployed because “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 have fixed 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 the Edge 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 be scaled up or out, again reinforcing that sizing is an Edge node sizing decision.
정답:
Explanation:
VCF 9.0 describes Cloud Native Storage (CNS) on vCenteras the component that implements “provisioning and lifecycle operations for persistent volumes.” When provisioning persistent volumes, CNS “interacts with the vSphere First Class Disk functionality to create virtual disks that back the volumes,” and it “communicates with Storage Policy Based Management to guarantee a required level of service to the disks.” This is exactly the storage-policy-to-backed-virtual-disk relationship the question is testing: storage policies (via policy-based management) define requirements, and CNS is the vCenter-side service that applies those requirements while creating and managing the backing storage objects.
In contrast,CSI (including Supervisor CNS-CSI and VKS pvCSI) is the Kubernetes-facing interface/driver used to request and consume storage, but it does not “provide” the vSphere storage policy system; rather, it relies on CNS/CNS-CSI and vCenter services to fulfill provisioning requests. Therefore, vSphere Cloud Native Storage (CNS)is the correct choice.
정답:
Explanation:
The documented behavior of kubectl edit is that it opens the object manifest in a local text editor, and the editor it launches is controlled by environment variables. In the VCF 9.0 documentation (Workload Management / Supervisor operations), the procedure explicitly states: “The kubectl edit command opens the namespace manifest in the text editor defined by your KUBE_EDITOR or the EDITOR environment variable.”
If the administrator’s environment does not have KUBE_EDITOR or EDITOR defined (or they point to an invalid/interactive-less editor in the current session), kubectl edit may not open the expected editor workflow, and the admin may not see the normal confirmation after saving and exiting. Setting KUBE_EDITOR (preferred for kubectl-specific behavior) or EDITOR ensures kubectl launches a known-good editor, allowing the manifest to be modified, saved, and then submitted back to the API server when the editor exits. The same documented requirement also applies to editing other Kubernetes objects (such as a VKS cluster manifest) because the kubectl edit mechanism is identical.
정답:
Explanation:
VCF 9.0 describes a vSphere Namespace as the control point where administrators define resource boundaries for workloads, explicitly stating that vSphere administrators can create namespaces and “configure them with specified amount of memory, CPU, and storage,” and that you can “set limits for CPU, memory, storage” for a namespace. This directly supports step Aas a day-2 control to keep multi-tenant clusters governed and prevent resource contention across different teams and workload types.
For monitoring and optimization, VCF 9.0 explains that day-2 operations include visibility into utilization and operational metrics for VKS clusters, noting that application teams can use day-2 actions and gain insights
Into CPU and memory utilization and advanced metrics (including contention and availability) for VKS clusters. In addition, VCF 9.0 monitoring guidance for VKS clusters states that Telegraf and Prometheus must be installed and configured on each VKS cluster before metrics and object details are sent for monitoring, and that VCF Operations supports metrics collection for Kubernetes objects (namespaces, nodes, pods, containers) via Prometheus. Since the Prometheus stack commonly includes Grafana dashboards for visualization, deploying Prometheus + Grafana matches the required monitoring/optimization outcome inC.
정답: 
Explanation:
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.
정답: 
Explanation:
Configuration Sequence (in order):
Create the vSphere Namespace
Assign the zones
Select workload networking
Assign the zonal storage policy
Define resource quotas / limits
Grant RBAC / permissions
A zonal vSphere Namespace is created as a standard namespace first, then “zonalized” by associating it with one or morev Sphere Zones so workloads can be scheduled according to zone placement rules. You start by creating the namespace because it is the tenancy and governance container where networking, storage access, quotas, and permissions are applied. Next, you assign the zones, since zone association is what makes the namespace “zonal” and determines where Kubernetes workloads (and their node pools) are allowed to land.
With zones set, you configure workload networking, because namespaces must have the correct network attachment and IP behavior for the workloads that will be placed across the selected zones. Then you assign the zonal storage policy, ensuring that persistent volumes can be provisioned using storage that is valid /available for the zone placement model you selected. After networking and storage access are defined, you set resource quotas/limits (CPU, memory, storage) so multi-tenant consumption stays within governance boundaries. Finally, you grant RBAC/permissions so the right DevOps/users can consume the namespace and provision clusters/workloads under the enforced controls.
정답:
Explanation:
VCF 9.0 explicitly lists the components that run in a VKS cluster and groups them into areas such as authentication/authorization, storage integration, pod networking, and load balancing. In that list, the documentation names: “Container Storage Interface Plugin” (a paravirtual CSI plug-in that integrates with CNS through the Supervisor), “Container Network Interface Plug-in” (a CNI plugin that provides pod networking), and “Cloud Provider Implementation” (supports creating Kubernetes load balancer services).
These three items map directly to the answer choices D (Container Storage Interface),F (Container Network Interface), and A (Cloud Provider Implementation). The same VCF 9.0 section also mentions an authentication webhook, but that component is not offered as a selectable option in this question, so the best three matches among the provided choices are the CSI, CNI, and cloud provider implementation entries that the document explicitly states are present inside a VKS cluster.
정답:
Explanation:
In VMware Cloud Foundation 9.0 and vSphere Supervisor architectures, the decision to deploy a Single-Zone or a Multi-Zone Supervisor is made at the time of initial 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