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VMware 3V0-24.25 Exam Overview:

Certification Vendor:	VMware (Broadcom)
Exam Name:	Advanced VMware Cloud Foundation 9.0 – 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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VMware 3V0-24.25 Exam Syllabus Topics:

Topic	Details
Topic 1	Plan and Design the VMware Solution: Covers evaluating the impact of load balancer sizing, namespace network options, and vSphere namespace architecture. It includes planning processes for enabling Supervisor clusters and implementing service mesh.
Topic 2	VMware Products and Solutions: Focuses on configuring vSphere Supervisor capabilities, networking, storage, identity, and access for Kubernetes clusters. It also covers managing Kubernetes releases, CNIs, NSX networking objects, TLS certificates, and securing VKS clusters.
Topic 3	Install, Configure, Administrate the VMware Solution: Includes creating and managing Supervisor clusters, namespaces, zones, workloads, and add-on services. Also covers provisioning, scaling, updating VKS clusters, autoscalers, storage strategies, workload deployments, backup restore, and editing YAML configurations.
Topic 4	IT Architectures, Technologies, Standards: This section covers the differentiation between VMs and containers, helping determine the appropriate compute model. It also includes understanding Kubernetes architecture, networking, storage, service mesh, Helm, and reference architectures for VKS deployments.
Topic 5	Troubleshoot and optimize the VMware Solution: Focuses on diagnosing and resolving provisioning, connectivity, namespace, VM class, storage, networking, container, registry, and CA errors. It also includes recovering failed upgrades and optimizing cluster performance using monitoring and scaling tools.

VMware Advanced VMware Cloud Foundation 9.0 vSphere Kubernetes Service Sample Questions (Q58-Q63):

NEW QUESTION # 58
A Cloud Administrator is analyzing a recurring issue where TKG cluster creations fail intermittently with "IP Address Exhaustion" errors, despite the IP pools appearing to have capacity. The administrator suspects that finalizers on deleted Service objects are preventing IP addresses from being released back to the pool managed by the NSX Load Balancer.
Which specific kubectl command and output field would allow the administrator to confirm that a LoadBalancer Service in the dev-ns namespace is "stuck" in deletion and holding an IP? (Select all that apply.)

A. Command: kubectl get services -n dev-ns Confirmation: The IPAM block shows 100% utilization.
B. Command: kubectl describe service -n dev-ns
C. Command: kubectl get services -n dev-ns -o yaml
D. Command: kubectl get endpoints -n dev-ns
E. Command: kubectl get ipam -n dev-ns

Answer: A,B,C

NEW QUESTION # 59
What is a characteristic of a Kubernetes pod?

A. A pod is deployed directly on the virtual machine.
B. A pod can contain only one container.
C. A pod is the smallest deployable unit in Kubernetes.
D. A pod is the smallest entity managed by Docker.

Answer: C

Explanation:
VCF 9.0 explains pod fundamentals by describing how Workload Management introducesvSphere Pods, stating a vSphere Pod is "equivalent of a Kubernetes pod" and that it "runs one or more Linux containers." This directly eliminates optionB, because a pod can includeone or morecontainers (not only one).
The vSphere 9.0 documentation further defines a KubernetesPodas "a group of one or more containerized applications that share such resources as storage and network," and notes the containers inside a pod are "started, stopped, and replicated as a group." That definition reflects Kubernetes' scheduling and lifecycle model: Kubernetes treats the pod as the primary unit it places and manages together, which is why a pod is regarded as thesmallest deployable unitfor running containerized workloads in Kubernetes. OptionsCandDare incorrect because pods are Kubernetes objects (not "managed by Docker" as a smallest entity), and Kubernetes abstracts the underlying runtime/host so pods are not defined as being "deployed directly on the virtual machine" as a characteristic.

NEW QUESTION # 60
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.)

A. The DevOps engineer lacks the edit permission on the Namespace.
B. The Storage limit for gold-policy has been exhausted.
C. The Namespace has reached the maximum number of allowed Kubernetes objects.
D. The CPU request for the new cluster exceeds the available CPU limit of the namespace.
E. The Memory request for the new cluster exceeds the available Memory limit of the namespace.

Answer: D,E

NEW QUESTION # 61
A Cloud Administrator is designing a multi-tenant vSphere with Tanzu environment for two distinct business units: Finance and Engineering.
Requirements:
1. Finance requires strict egress filtering. All outbound traffic must originate from a predictable, static IP address range to pass through a legacy firewall.
2. Engineering requires high-volume ingress. They plan to deploy 50+ unique web services, each needing public access, but the available Floating IP Pool for the Load Balancer is limited to 10 IPs.
3. Isolation: Traffic between Finance and Engineering must be blocked by default.
Review the proposed design configuration:
# Namespace: finance-ns
Network: NSX (NAT Mode)
Egress: Configured with SNAT
# Namespace: engineering-ns
Network: NSX (NAT Mode)
Services: Developers instructed to use 'type: LoadBalancer' for all apps.
Which aspects of this design need correction or validation to meet the requirements? (Select all that apply.)

A. The Finance design is valid; enabling NSX NAT Mode with SNAT ensures that all pod traffic leaves the namespace using a deterministic "Egress IP" assigned to the T1 Gateway, which satisfies the firewall requirement.
B. The Engineering design is flawed; using type: LoadBalancer for 50+ services will exhaust the 10-IP pool. An Ingress Controller (L7) architecture must be mandated to multiplex these services behind a single VIP.
C. The Isolation requirement is automatically met because NSX-backed Namespaces are deployed with distinct Tier-1 Gateways and a default "Deny All" Distributed Firewall policy between them is often required (or naturally isolated by T1 routing rules depending on T0 config). Self-correction: VKS Namespaces are isolated by default in terms of not sharing T1s, but traffic routing depends on T0.
However, the question asks about valid/invalid aspects. A DFW rule or Network Policy is the standard way to enforce "Blocked by default" between namespaces.
D. The Engineering namespace needs a separate Supervisor Cluster to support that many services.
E. The Finance namespace should be configured in "Routed Mode" (No-NAT) to simplify the firewall rules.

Answer: A,B

NEW QUESTION # 62
A Platform Engineer needs to provide a custom Virtual Machine Class to the Data Science team.
They require a VM with exactly 16 vCPUs and 64 GB of RAM for a specific model training workload. The default classes do not match these specifications.
Which sequence of steps allows the engineer to make this specific configuration available to the team's namespace? (Choose 2.)

A. Modify the existing guaranteed-large class to match the new requirements.
B. Create a vSphere Resource Pool with the limits set to 16 vCPU / 64 GB RAM and assign it to the namespace.
C. Edit the TKG cluster YAML to override the default node sizing manually.
D. Create a new "VM Class" object in the vSphere Client under "Workload Management" > "Services" >
"VM Service", defining the specific CPU and Memory reservations.
E. Assign the newly created Custom VM Class to the Data Science team's vSphere Namespace.

Answer: D,E

NEW QUESTION # 63
......

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