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| Section | Objectives |
|---|---|
| Topic 1: VMware Products and Solutions | - Explain integration with other VMware products - Describe vSphere Kubernetes Service (VKS) capabilities - Identify and describe VMware Cloud Foundation components - Understand vSphere Supervisor architecture |
| Topic 2: Plan and Design | - Design for high availability and disaster recovery - Plan for scalability and performance - Design infrastructure for Kubernetes workloads - Architect solutions for business requirements |
| Topic 3: Troubleshoot and Optimize the VMware Solution | - Apply remediation steps - Diagnose performance issues - Interpret system logs and alerts - Resolve configuration conflicts - Optimize resource utilization - Ensure high availability and fault tolerance |
| Topic 4: Install, Configure, Administrate the VMware Solution | - Deploy VMware Cloud Foundation clusters - Manage compute, storage, and network layers - Perform day-two operations (updates, user provisioning, resource allocation) - Configure vSphere Kubernetes Service environments |
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NEW QUESTION # 83
How should an administrator enable autoscaling for a vSphere Kubernetes Service (VKS) cluster?
Answer: B
Explanation:
In VCF 9.0, cluster autoscaling is delivered as anoptionalcapability that requires installing theCluster Autoscaleras a standard package. The VCF 9.0 materials explicitly call out Cluster Autoscaler as an optionally installed package for vSphere Kubernetes Service, alongside other optional packages (for example, Harbor, Velero, Istio, etc.). The release information further emphasizes that autoscaling features (including newer behaviors such as scaling from/to zero for supported VKr versions) require that "the autoscaler standard package" be installed.
Operationally, installing the autoscaler package provides the controller that watches pending pods and node utilization signals and then drives the required changes in desired worker capacity. After that controller is present, you typically express scaling intent through the cluster's declarative configuration (for example, worker pool/node pool constraints and limits) so the autoscaler can act within the boundaries you define. Without the autoscaler package, changing replica counts or expecting automatic node growth/shrink will not produce autoscaling behavior because the control loop that performs those actions is missing.
NEW QUESTION # 84
An administrator is upgrading to VKS 3.4 and encounters the following error during cluster creation using workload, yami:
How should the administrator resolve this issue to successfully complete the upgrade " ?
Answer: C
Explanation:
The error shows an admission webhook denial wherevariable validation failedand multiple entries under spec.
topology.variables[...] are reported as"variable is not defined". That message indicates the manifest is supplying variables that arenot part of the current Cluster API / topology schemaenforced by the Supervisor during cluster creation. In VKS, cluster provisioning isdeclarative: you invoke the VKS API withkubectl + a YAML file, and "after the cluster is created, you update the YAML to update the cluster." When the API
/schema changes between releases, older manifests can contain fields/variables that are no longer recognized, and the admission webhook blocks them to prevent creating an invalid cluster spec.
This aligns with VMware's broader direction that the olderTanzuKubernetesCluster (TKC) API was deprecatedand customers are encouraged to useCluster APIfor bootstrap/config/lifecycle management. In practice, to complete the upgrade/creation successfully, you must update the cluster manifest to match the supported schema:remove the deprecated/unknown topology variablesshown in the error (for example, the undefined storage-policy and trust variables) and re-apply the correctedworkload.yaml.
NEW QUESTION # 85
A Platform Engineer is optimizing the IP address consumption of the NSX Advanced Load Balancer (Avi) used by a Supervisor Cluster. The current "Essentials" edition deployment consumes a new Service Engine (SE) IP and a VIP for every LoadBalancer service, leading to IP exhaustion.
The engineer wants to switch to a design where multiple Kubernetes Services share the same Service Engine group and potentially consolidate VIPs where possible (using L7 Ingress), but the immediate concern is the backend SE scaling.
Review the current setting: Service Engine Group: Default-Group Max VS per SE: 10 What configuration change on the Avi Controller would optimize resource usage for this VKS deployment? (Select all that apply.)
Answer: D,E
NEW QUESTION # 86
A Platform Engineer is optimizing resource density for a high-volume batch processing workload. The workload consists of thousands of short-lived tasks that start and stop rapidly. The overhead of reserving memory for a full Guest OS for each task is a concern.
Review the following resource profile for a single task instance:
Task Runtime: < 2 minutes
CPU: High bursts
Memory: 512 MB
OS Dependency: Generic Linux userspace
Why are vSphere Pods the architecturally superior choice over TKG cluster nodes for this specific scenario? (Select all that apply.)
Answer: A,B,E
NEW QUESTION # 87
A DevOps Engineer attempts to deploy a database VM using the following YAML manifest, but the kubectl apply command results in the object staying in a pending state, and kubectl get virtualmachine shows a failure condition.
# postgres-vm.yaml
apiVersion: vmoperator.vmware.com/v1alpha1
kind: VirtualMachine
metadata:
name: pg-db-01
namespace: dev-playground
spec:
className: guaranteed-xlarge
imageName: centos-8-stream-v10.ova
powerState: poweredOn
The VI Administrator checks the dev-playground namespace status:
nsx-cli> get namespace dev-playground
...
VM Service: Enabled
Assigned VM Classes:
- best-effort-small
- guaranteed-medium
Assigned Content Libraries:
- K8s-Images (Contains: centos-8-stream-v10.ova)
...
What is the root cause of the provisioning failure?
Answer: C
NEW QUESTION # 88
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