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NEW QUESTION # 14
What are three resource limitations defined on a vSphere Namespace? (Choose three.)
Answer: C,D,E
Explanation:
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.
NEW QUESTION # 15
A Cloud Administrator wants to deploy the Velero Supervisor Service to enable backup capabilities for vSphere Namespaces. The target is an S3-compatible object store.
Review the velero-install-config.yaml values file prepared for the installation:
backupStorageLocation:
name: default
provider: aws
bucket: vks-backups
config:
region: minio
s3Url: https://minio.corp.local:9000
volumeSnapshotLocation:
name: default
provider: csi
# Missing Section: Credentials
The administrator attempts to install the service using the vcf-cli (or kubectl plugin) but it fails immediately.
What critical configuration component is missing from the workflow? (Select all that apply.)
Answer: B,D
NEW QUESTION # 16
What Kubernetes component is responsible for workload creation?
Answer: C
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 # 17
A Cloud Administrator is investigating a report that a newly provisioned TKG cluster dev-cluster-01 is stuck in the Provisioning phase. The developer reports that kubectl get nodes returns no results.
The administrator runs kubectl describe tanzukubernetescluster dev-cluster-01 and sees the following status condition:
Status:
Conditions:
- Last Transition Time: "2023-11-20T14:30:00Z"
Message: "0/3 Control Plane Node(s) healthy. Error: vm-creation-failed" Reason: InfrastructureFailure Status: "False" Type: Ready The administrator then checks the VirtualMachine resource for one of the control plane nodes:
Status:
Conditions:
- Message: "Failed to deploy VM: Resource pool 'Namespaces' has insufficient memory resources.
Required: 16384 MB, Available: 4096 MB."
Reason: ContentLibraryOvfDeployFailed
Status: "True"
Type: Failure
Based on this data, what are the verified cause of the issue and the correct resolution? (Choose 2.)
Answer: B,D
NEW QUESTION # 18
An administrator enabled cluster scaling by running kubectl edit deployment and updating the number of replicas from 5 to 10. When the cluster was redeployed with the number of replicas set to 5, what was the result?
Answer: C
Explanation:
In a vSphere Kubernetes Service (VKS) environment, resource management follows aDeclarative Model.
When an administrator uses kubectl edit deployment to manually scale a running workload from 5 to 10 replicas, they are modifying thelive stateof the deployment. However, thesource of truthfor a Tanzu Kubernetes cluster in VCF 9.0 is theCluster YAML specificationmaintained by the Cluster API (CAPI) provider within the Supervisor.
If the administrator redeploys the cluster or if the Supervisor's controller performs a reconciliation loop, it refers back to the original configuration file. If that cluster YAML file still defines the replica count as 5, the Supervisor will terminate the 5 "extra" pods to match the desired state defined in the configuration. This is a common administrative pitfall; for changes to be persistent across redeployments or updates in VCF 9.0, the underlying manifest (the "Desired State") must be updated. Manually editing the live object only provides a temporary change that will be overwritten during the next synchronization or lifecycle event because the cluster YAML file was not updated to reflect the requested increase.
NEW QUESTION # 19
......
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