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NEW QUESTION # 34 
The Platform Engineer needs to expand an NKP Pro demo cluster due to workload capacity constraints. The demo cluster has 150 vCPUs available to it from a licensing standpoint. Each worker node has 8 vCPUs and each control plane node has 4 vCPUs.
Which two options are valid for expanding the demo cluster and remaining compliant with licensing? (Choose two.)
Answer: C,D
Explanation:
According to the NKPA 6.10 documentation, licensing in an NKP cluster is constrained by the total number of vCPUs assigned to all nodes (workers and control planes). In this scenario, the cluster has a maximum of
150 vCPUs available.
The existing output shows 10 worker nodes, each with 8 vCPUs (10×8=80 vCPUs) and 3 control plane nodes, each with 4 vCPUs (3×4=12 vCPUs).
* Current vCPU usage: 80 + 12 = 92 vCPUs.
* Remaining vCPUs: 150 - 92 = 58 vCPUs.
Option A:
Adding 6 control plane nodes (6×4=24 vCPUs).
This would increase control planes to 9 total (3 existing + 6 new). Control plane nodes would consume
9×4=36 vCPUs.
Worker nodes remain at 80 vCPUs.
Total vCPU usage: 36 + 80 = 116 vCPUs (still under 150 vCPUs).
However, it's unusual and unnecessary to have 9 control planes in a typical NKP setup. NKPA and NCP-CN best practices indicate typically no more than 3 or 5 control planes for HA. Therefore, this is technically possible but not recommended or standard practice. So not selected.
Option B:
Expanding the existing worker nodepool by 8 nodes (8×8=64 vCPUs).
This would add 64 vCPUs to the current 92 vCPUs:
92 + 64 = 156 vCPUs # exceeds licensing limit.
Correction: The question specifies "expand up to 8 nodes," so it's possible to expand by only 7 nodes (7×8=56 vCPUs).
92 + 56 = 148 vCPUs # within licensing limits.
Thus, expanding by up to 7 nodes is valid.
Option C:
Creating a new worker nodepool with 10 nodes (10×8=80 vCPUs).
This would add 80 vCPUs to the existing 92 vCPUs:
92 + 80 = 172 vCPUs # exceeds 150 vCPU licensing limit.
Not valid.
Option D:
Expanding the original worker nodepool by up to 4 nodes (4×8=32 vCPUs) = +32 vCPUs.
Adding a new nodepool of 6 nodes with 4 vCPUs/node (6×4=24 vCPUs) = +24 vCPUs.
Total increase: 32 + 24 = 56 vCPUs.
Total vCPU usage: 92 + 56 = 148 vCPUs # within the 150 vCPU limit.
Thus, valid.
Extract Reference:
* NKPA 6.10 - "Cluster Sizing and Licensing"
* Nutanix Kubernetes Platform Administration (NKPA) - Licensing Considerations
"The total number of vCPUs for all nodes (control planes and workers) must not exceed the licensed vCPU capacity of the NKP deployment." This confirms that Options B and D are the two valid approaches to expand the cluster while remaining compliant with licensing constraints.
NEW QUESTION # 35
NKP cluster nodes require a disk for some of its deployed components, outside of an application's persistent volume requirements. What are these components and where are they deployed?
Answer: C
Explanation:
According to the NKPA 6.10 documentation, the critical system components for NKP nodes are:
* kubelet
* containerdThese components are deployed in the standard Linux path: /var/lib.
Exact extract from the documentation:
"The kubelet and containerd services require disk space in /var/lib on the host operating system. It's essential to allocate sufficient storage in /var/lib to accommodate these core Kubernetes components." Reference:
Nutanix Kubernetes Platform Administration (NKPA) 6.10 - "Host Requirements for Cluster Nodes" NCP-CN 6.10 Study Guide - "Node OS Directory Requirements"
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NEW QUESTION # 36
In a telecom company, two teams were working on the development of two different applications:
* ApplicationA
* ApplicationBApplicationA's development team was excited about the release of their new functionality. However, upon deploying their application, they noticed that performance was slow.
After investigating, they discovered that the ApplicationB team was consuming the majority of the cluster's resources, affecting all other teams. How can this problem be mitigated?
Answer: B
Explanation:
The NKPA course addresses resource contention in Kubernetes clusters, where one application (e.g., ApplicationB) consumes excessive resources, impacting others (e.g., ApplicationA). To mitigate this, the course recommends implementing Quotas and Limit Ranges.
* Resource Quotas restrict the total amount of CPU, memory, and other resources a namespace can consume, ensuring fair resource allocation across teams.
* Limit Ranges set minimum and maximum resource limits for individual pods and containers within a namespace, preventing any single application from monopolizing resources.
The Nutanix Cloud Native (NCP-CN) 6.10 Study Guide states: "To prevent resource contention in NKP clusters, apply Resource Quotas to limit namespace resource usage and Limit Ranges to enforce pod and container resource boundaries." For example, the administrator can create a ResourceQuota to cap ApplicationB's namespace resource usage and a LimitRange to restrict its pod resource requests/limits, ensuring ApplicationA has sufficient resources.
Incorrect Options:
* B. Setting up Network Policies: Network Policies control network traffic, not resource usage.
* C. Configuring RBAC: RBAC manages access permissions, not resource allocation.
* D. Implementing Continuous Deployment (CD): CD automates deployments but does not address resource contention.
:
Nutanix Kubernetes Platform Administration (NKPA) Course, Section on Resource Management.
Nutanix Cloud Native (NCP-CN) 6.10 Study Guide, Chapter on Day 2 Operations.
Nutanix Cloud Bible, NutanixKubernetesPlatform Section: https://www.nutanixbible.com Kubernetes Documentation: https://kubernetes.io/docs/concepts/policy/resource-quotas
NEW QUESTION # 37
When deploying an NKP cluster onto air-gapped, pre-provisioned servers, Konvoy Image Builder is utilized to prepare the servers to become NKP cluster nodes.
What does the konvoy-image upload command do as a part of this preparation process?
Answer: A
Explanation:
According to the NKPA 6.10 documentation under "Air-Gapped Preparation with Konvoy Image Builder," the konvoy-image upload command uploads essential artifacts to the target servers to prepare them to serve as cluster nodes. These artifacts include:
* Container runtime (containerd)
* OS bundle
* Kubernetes components
It does not involve user creation or OS hardening scripts (those are separate, client-driven processes).
Key reference from documentation:
"The konvoy-image upload command uploads the required artifacts to the target server(s) to prepare them for Kubernetes deployment in air-gapped environments. This includes the container runtime, OS bundle, and Kubernetes binaries." Reference:
Nutanix Kubernetes Platform Administration (NKPA) 6.10 - "Air-Gapped Deployment Preparation" NCP-CN 6.10 Study Guide - "Konvoy Image Builder Workflow"
NEW QUESTION # 38 
The Platform Engineer needs to expand an NKP Pro demo cluster due to workload capacity constraints. The demo cluster has 150 vCPUs available to it from a licensing standpoint. Each worker node has 8 vCPUs and each control plane node has 4 vCPUs.
Which two options are valid for expanding the demo cluster and remaining compliant with licensing? (Choose two.)
Answer: C,D
NEW QUESTION # 39
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