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| Section | Objectives |
|---|---|
| Topic 1: vSphere Infrastructure | - Compute, storage, and resource management - ESXi and vCenter administration |
| Topic 2: vSphere Kubernetes Service (VKS) | - Cluster lifecycle and operations - Kubernetes cluster deployment in VCF |
| Topic 3: VMware Cloud Foundation Architecture | - VCF components and architecture design - Lifecycle management and SDDC Manager concepts |
| Topic 4: Networking and Storage in VCF | - NSX networking concepts and configuration - vSAN storage integration |
| Topic 5: Operations and Troubleshooting | - Monitoring and performance optimization - Troubleshooting VCF and Kubernetes workloads |
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NEW QUESTION # 66
A VKS administrator is tasked to leverage day-2 controls to monitor, scale, and optimize Kubernetes clusters across multiple operating systems and workload characteristics.
What two steps should the administrator take? (Choose two.)
Answer: B,C
Explanation:
VCF 9.0 describes a vSphere Namespace as the control point where administrators defineresource boundariesfor workloads, explicitly stating that vSphere administrators can create namespaces and "configure them with specified amount ofmemory, CPU, and storage," and that you can "set limits forCPU, memory, storage" for a namespace. This directly supports stepAas a day-2 control to keep multi-tenant clusters governed and prevent resource contention across different teams and workload types.
For monitoring and optimization, VCF 9.0 explains that day-2 operations include visibility into utilization and operational metrics for VKS clusters, noting that application teams can use day-2 actions and gain insights intoCPU and memory utilizationand advanced metrics (including contention and availability) for VKS clusters. In addition, VCF 9.0 monitoring guidance for VKS clusters states thatTelegraf and Prometheusmust be installed and configured on each VKS cluster before metrics and object details are sent for monitoring, and that VCF Operations supports metrics collection for Kubernetes objects (namespaces, nodes, pods, containers) via Prometheus. Since the Prometheus stack commonly includes Grafana dashboards for visualization, deployingPrometheus + Grafanamatches the required monitoring/optimization outcome inC.
NEW QUESTION # 67
What is the purpose of a ReplicaSet in the VMware vSphere Kubernetes Service (VKS)?
Answer: D
Explanation:
A ReplicaSet is a core Kubernetes workload controller used in VKS clusters to maintainavailability and steady-state capacityfor stateless applications. Its primary purpose is to ensure that adesired number of identical pod replicasare running continuously. If a pod is deleted, crashes, or is evicted because a node fails, the ReplicaSet detects that the current number of matching pods has dropped below the target and immediately creates replacement pods to restore the requested replica count. Conversely, if too many matching pods exist (for example, due to manual creation or a transient surge), it scales down by deleting excess pods to return to the desired state.
This behavior makes ReplicaSets foundational to reliable, self-healing application operation in Kubernetes and therefore in VKS. In practice, administrators and DevOps teams usually interact with ReplicaSets indirectly through higher-level controllers likeDeployments, which manage rolling updates and revisions while using ReplicaSets underneath to enforce the replica count for each version of an application. Options A, B, and D map to other Kubernetes objects (Service, StatefulSet, and DaemonSet respectively), not ReplicaSet.
NEW QUESTION # 68
A VI Administrator needs to configure a Supervisor Cluster to download the latest supported Tanzu Kubernetes releases automatically from VMware over the internet.
Review the configuration steps:
1. Navigate to vSphere Client > Content Libraries.
2. Click Create New Content Library.
3. Name: Tanzu-Kubernetes-Lib.
Which specific settings must be applied in the subsequent configuration screens to meet the requirement?
Answer: B
NEW QUESTION # 69
An administrator runs several critical workloads on vSphere Kubernetes Service (VKS). An audit identified an outdated container image with a known CVE that exposed internal APIs to unauthorized access. To mitigate this risk and enhance image security, the administrator enabled Harbor as a Supervisor Service.
Which two Harbor registry capabilities help the organization prevent a recurrence of this type of security incident? (Choose two.)
Answer: A,B
Explanation:
Harbor reduces the risk of running vulnerable or tampered images primarily throughvulnerability scanningandimage signing.Vulnerability scanning (E)detects known CVEs in image layers (OS packages and application dependencies, depending on the scanner configuration). This allows teams to identify-and gate the use of-images that contain high/critical vulnerabilities before those images are deployed to Kubernetes clusters. Enforcing scanning as part of the image promotion process helps prevent outdated images with known CVEs from being pulled into production.Image signing (A)provides integrity and provenance controls by enabling consumers to verify that an image was produced and approved by a trusted publisher and has not been altered. When combined with admission controls/policies (for example, only allowing signed images from specific projects), signing helps block unauthorized or unapproved images from being deployed, which is critical when the incident involves exposed internal APIs and supply-chain risk.
The other choices do not directly prevent recurrence:automatic image update (B)is not a core Harbor registry control,deploy both container and VM images (C)is a content capability rather than a security control, andautomatic image validation (D)is not a standard Harbor registry capability distinct from signing/scanning.
NEW QUESTION # 70
What open-source project enables automated lifecycle management of VMware vSphere Kubernetes Service (VKS) clusters?
Answer: B
Explanation:
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).
NEW QUESTION # 71
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