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| Certification Vendor: | VMware (Broadcom) |
|---|---|
| Exam Name: | Advanced VMware Cloud Foundation 9.0 โ vSphere Kubernetes Service |
| Exam Number: | 3V0-24.25 |
| Related Certifications: | VMware vSphere VMware Cloud Foundation Administrator VMware Tanzu Kubernetes Grid |
| Available Languages: | English |
| Sample Questions: | VMware 3V0-24.25 Sample Questions |
| Exam Way: | Typically delivered via online proctored or authorized test center (Pearson VUE) |
| Pre Condition: | Recommended prior experience with VMware vSphere, VMware Cloud Foundation, and Kubernetes administration |
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NEW QUESTION # 71
Which feature in VMware vSphere Kubernetes Service (VKS) provides vSphere storage policy integration that supports provisioning persistent volumes and their backing virtual disks?
Answer: B
Explanation:
VCF 9.0 describesCloud 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.
NEW QUESTION # 72
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?
Answer: C
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.
NEW QUESTION # 73
A Platform Engineer is troubleshooting why a TKG cluster batch-processing is not scaling up, despite there being 50+ pods in the Pending state for over 30 minutes.
The engineer checks the autoscaler status annotations on the worker node pool: min-size: 3, max-size:
10. Current replicas: 5.
The engineer retrieves the logs from the CAPW (Cluster API Provider for vSphere) controller on the Supervisor and sees:
I1123 10:00:00.123 controller.go:100] Reconciling MachineSet "batch-processing-workers-md-0" E1123 10:00:00.125 controller.go:150] Failed to create Machine "batch-processing-workers-w9z4":
Quota "ns-resource-quota" exceeded.
Requested: cpu=4000m, memory=16Gi.
Used: cpu=20000m, memory=80Gi.
Limit: cpu=22000m, memory=88Gi.
Based on the logs, what is the root cause?
Answer: D
NEW QUESTION # 74
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.)
Answer:
Explanation:
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.
NEW QUESTION # 75
What Kubernetes component is responsible for workload creation?
Answer: B
Explanation:
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.
NEW QUESTION # 76
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