3V0-24.25 Exam Dumps - VMware VCAP-VKS Questions and Answers

VCF 9.0 defines aVCF CLI contextas aconfiguration setfor a specific endpoint (for example, a Kubernetes cluster, vSphere Supervisor, or VCF Automation) and explains that a context stores the key connection parameters such asendpoint,context type,path to kubeconfig, andcredentials. This aligns directly with optionC, because vcf context create is used to create anamedcontext that encapsulates the access parameters needed to work with a specific Supervisor or VKS cluster and to switch between multiple environments without rewriting configuration each time.

The documentation further shows vcf context create being used to connect either to aSupervisor endpointor to aworkload (VKS) cluster(by providing workload cluster name/namespace or by using a generated kubeconfig), which is exactly the multi-tenant operational pattern in the question. While authentication is part of what happens during context creation (for example, creating a configuration that includes a JWT for Kubernetes API access), the command’s purpose is broader: it creates the reusablecontextobject that defineswhereandhowthe CLI connects.

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.

In VCF 9.0 Workload Management, avSphere Namespaceis the construct that “sets the resource boundaries” for workloads running on a Supervisor, includingCPU, memory, and storage. The documentation explicitly states that a vSphere Namespace “sets the resource boundaries forCPU, memory, storage, and also the number of Kubernetes objects that can run within the namespace.” In the operational procedure “Set Resource Limits to a vSphere Namespace,” VMware further lists the configurable limits as:CPU(“set a limit to the CPU consumption”),Memory(“set a limit to the memory consumption”), andStorage(“set a limit on the storage consumption… per storage policy that is used”).

By contrast,Containersare not a namespace “resource limit” category; VMware documents “Container Defaults” separately (defaults for container CPU/memory requests and limits) rather than a top-level resource limit type. Similarly,Servicesare governed under “Object Limits” (how many Kubernetes objects like Services can exist), which is distinct from resource limits. Therefore, the three resource limitations defined on a vSphere Namespace areCPU, Memory, and Storage.

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 morevSphere Zonesso workloads can be scheduled according to zone placement rules. You start bycreating the namespacebecause it is the tenancy and governance container where networking, storage access, quotas, and permissions are applied. Next, youassign 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 configureworkload networking, because namespaces must have the correct network attachment and IP behavior for the workloads that will be placed across the selected zones. Then youassign 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 setresource quotas/limits(CPU, memory, storage) so multi-tenant consumption stays within governance boundaries. Finally, yougrant RBAC/permissionsso the right DevOps/users can consume the namespace and provision clusters/workloads under the enforced controls.

cert-manager addresses the operational risk described (manual creation/renewal causing outages) by making certificate lifecycle management anative, declarative Kubernetes workflow. Instead of treating TLS certificates as manually managed files, cert-manager extends the Kubernetes API with custom resources such asCertificate,Issuer, andClusterIssuer, so certificates and their issuing policies become first-class objects that can be version-controlled and automatically reconciled. This directly satisfies the requirement to usetrusted certificates issued through the corporate CA, because an Issuer/ClusterIssuer can represent that corporate CA integration and define how certificate requests are fulfilled. Once configured, cert-manager continuously monitors certificate validity andautomatically renews and rotatescertificates 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.

VCF 9.0 describes VKS as providing self-service, declarative lifecycle management for Kubernetes clusters and explicitly identifiesCluster APIas 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).

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.

In Kubernetes terms,non-persistentpod data (for example, transient logs and scratch space) is handled byephemeral storage, meaning the data exists only for the lifetime of the pod/workload and is not meant to survive beyond it. In the VCF Workload Management documentation, this concept is described directly: a pod requiresephemeral storageto store transient Kubernetes objects such as “logs” and “emptyDir volumes,” and this ephemeral (transient) storage “lasts as long as the pod continues to exist,” disappearing when the pod reaches end of life.

While VKS clusters can also consumepersistent storagethrough storage classes and CSI integration for stateful needs, that is specifically for data that must be retained (persistent volumes/claims). The question asks specifically aboutnon-persistentpod data, which aligns with the documented ephemeral/transient storage behavior for pod runtime needs. Therefore, the correct choice isEphemeral storage.