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You can get help from itPass4sure VMware 3V0-24.25 exam questions and easily pass get success in the VMware 3V0-24.25 exam. The 3V0-24.25 practice exams are real, valid, and updated that are specifically designed to speed up 3V0-24.25 Exam Preparation and enable you to crack the Advanced VMware Cloud Foundation 9.0 vSphere Kubernetes Service (3V0-24.25) exam successfully.
| Certification Vendor: | VMware |
|---|---|
| Exam Name: | Advanced VMware Cloud Foundation 9.0 vSphere Kubernetes Service |
| Exam Number: | 3V0-24.25 |
| Available Languages: | English |
| Passing Score: | 300 / 500 |
| Real Exam Qty: | 60 |
| Related Certifications: | VMware Certified Advanced Professional - VMware Cloud Foundation vSphere Kubernetes Service |
| Certificate Validity Period: | 2 years |
| Exam Price: | USD 250 |
| Exam Duration: | 135 minutes |
| Exam Format: | Simulation-Style Questions, Multiple Choice, Scenario-Based Items |
| Sample Questions: | VMware 3V0-24.25 Sample Questions |
| Exam Way: | Pearson VUE (Online or Test Center) |
| Pre Condition: | Recommended experience with VMware Cloud Foundation and Kubernetes. |
| Official Syllabus URL: | https://www.vmware.com/education-services/certification/vcap-cloud-foundation-vsphere-kubernetes-service.html |
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The VMware 3V0-24.25 certification is a valuable credential that plays a significant role in advancing the VMware professional's career in the tech industry. With the Advanced VMware Cloud Foundation 9.0 vSphere Kubernetes Service (3V0-24.25) certification exam you can demonstrate your skills and knowledge level and get solid proof of your expertise. You can use this proof to advance your career. The VMware 3V0-24.25 Certification Exam enables you to increase job opportunities, promotes professional development, and higher salary potential, and helps you to gain a competitive edge in your job search.
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NEW QUESTION # 14
Which object type does the Kubernetes RBAC API declare?
Answer: D
Explanation:
Kubernetes Role-Based Access Control (RBAC) is implemented through theRBAC API group(rbac.authorization.k8s.io) and defines the core authorization primitives used to grant permissions to users, groups, and service accounts. The cluster-scoped objects declared by the RBAC API areClusterRoleandClusterRoleBinding. AClusterRoledefines a set of permissions (verbs such as get/list/watch/create/update/delete) over resources at thecluster scope(including cluster-wide resources and optionally namespaced resources across namespaces). AClusterRoleBindingthenbindsthat ClusterRole to a subject (user/group/serviceaccount), making those permissions effective cluster-wide.
This differs from namespace-scoped RBAC objects (RoleandRoleBinding) which apply only within a single namespace. The other options are incorrect becauseClusterObject/ClusterNodeare not RBAC API objects, ValidatingAdmissionPolicybelongs to the admission control API surface (policy enforcement), ResourceQuotais a namespace resource governance object, andContainer/Deploymentare workload/runtime concepts defined in the core/apps APIs rather than authorization primitives.
NEW QUESTION # 15
An administrator is maintaining several Kubernetes clusters deployed through a Supervisor Namespace in a vSphere Kubernetes Service environment. One of the micro-services (a containerized API gateway) is failing intermittently after a recent configuration update. The pod is entering aCrashLoopBackOffstate. The administrator needs to collect detailed runtime information directly from the pod, including both thestandard output (STDOUT)andstandard error (STDERR)streams, to analyze the application's behavior before the crash.
Which command produces the required output?
Answer: C
Explanation:
When a container repeatedly crashes (CrashLoopBackOff), the most direct way to capture what the application emitted right before termination is to retrieve the container logs. In Kubernetes, application output written toSTDOUTandSTDERRis captured by the container runtime logging mechanism and exposed through the Kubernetes API for retrieval. The kubectl logs command is designed specifically for this purpose: it fetches the log stream for a pod (and container, if multiple exist), allowing administrators to review the runtime messages that typically explain configuration errors, missing dependencies, failed probes, authentication problems, or other causes of the crash loop. This aligns with VMware operational guidance that uses kubectl to retrieve pod-level operational information and logs as part of troubleshooting Kubernetes functionality running on vSphere.
NEW QUESTION # 16
What is the purpose of the VMware vSphere Kubernetes Service (VKS) Service Mesh?
Answer: D
Explanation:
A service mesh is an application communication layer that standardizesservice-to-service trafficinside Kubernetes. Instead of each development team building custom logic for retries, timeouts, encryption, and telemetry, the mesh provides these capabilities consistently across workloads. This is typically done by inserting a data plane (often sidecar proxies or node-level proxies) that intercepts inbound and outbound traffic for each microservice, plus a control plane that distributes configuration and identity material.
The key outcomes align directly to optionB: communication becomespossible(reliable connectivity patterns), structured(consistent routing rules, policies, and identity), andobservable(metrics, logs, and distributed tracing for east-west traffic). A service mesh commonly adds controls such asmTLS encryption, fine-grainedtraffic policy(allow/deny, rate limits, circuit breaking), and progressive delivery patterns (canary/blue-green) without changing application code.
By contrast, service discovery (A) is usually a built-in Kubernetes function, load balancing/autoscaling across sites (C) is not the primary definition of a service mesh, and a single centralized global routing table (D) is not how meshes are typically described or implemented.
NEW QUESTION # 17
A Platform Engineer is troubleshooting a Pending PersistentVolumeClaim (PVC) in a Zonal Supervisor environment. The pod requesting the volume is scheduled in Zone-A.
Review the kubectl describe pvc data-vol output:
Name: data-vol
Namespace: zonal-app
Status: Pending
Volume:
StorageClass: zone-a-policy
Events:
Type Reason Age From Message
---- ------ ---- ---- -------
Warning ProvisioningFailed 15s (x9 over 2m) csi.vsphere.vmware.com failed to provision volume with StorageClass "zone-a-policy":
No compatible datastore found in topology
"topology.kubernetes.io/zone=zone-a".
The vSphere Administrator confirms that zone-a-policy exists and is assigned to the namespace.
What is the most likely configuration error causing this failure? (Choose 2.)
Answer: A,E
NEW QUESTION # 18
A VI Administrator is troubleshooting a provisioning issue where a DevOps engineer cannot deploy a Tanzu Kubernetes Grid (TKG) cluster. The engineer reports that the deployment is stuck in a Pending state.
The administrator reviews the vSphere Namespace dev-team-a configuration and current usage:
Namespace: dev-team-a
Capacity and Usage:
CPU:
Limit: 10000 MHz
Used: 9500 MHz
Memory:
Limit: 32 GB
Used: 30 GB
Storage:
gold-policy:
Limit: 500 GB
Used: 100 GB
The TKG cluster specification requires 3 control plane nodes and 3 worker nodes. Each node is configured to request 2 vCPUs (approx 4000 MHz total per node) and 4 GB RAM.
Based on this data, what is the cause of the failure? (Choose 2.)
Answer: C,E
NEW QUESTION # 19
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