Practice Free NCP-CN Exam Online Questions
A Platform Engineer is running a Kubernetes cluster version 1.28.1 on AWS that needs to be upgraded to version 1.29.9. This cluster was deployed with Nutanix NKP.
Which two actions should the engineer take to complete this requirement? (Choose two.)
- A . Upgrade Workers with nkp update nodepool aws ${NODEPOOL_NAME} –cluster-name=${CLUSTER_NAME} –kubernetes-version=v1.29.9
- B . Upgrade Control Planes with nkp update controlplane aws –cluster-name=${CLUSTER_NAME} — ami AMI_ID –kubernetes-version=v1.29.9
- C . Upgrade Workers with nkp upgrade nodepool aws ${NODEPOOL_NAME} –cluster-
name=${CLUSTER_NAME} –kubernetes-version=v1.29.9 - D . Upgrade the Cluster with nkp update cluster aws –cluster-name=${CLUSTER_NAME} –ami AMI_ID –kubernetes-version=v1.29.9
A company has been modernizing on cloud-native platforms for the past few years and has been running some small consumer support utilities on their production NKP cluster. After a thorough testing and QA cycle with simulated workloads on a development cluster, the company is ready to bring their online retail application into the fold. While they have sufficient system resources to scale the NKP cluster properly from a performance standpoint, they also want to ensure they properly scale their monitoring stack’s resource settings to retain a sufficient amount of data to see how overall system resource utilization trends for the NKP cluster over several months’ time with the added workloads.
Which NKP Platform Application component should the company be most concerned with adjusting, and how should their Platform Engineer adjust it?
- A . Adjust the number of replicas for the Fluent Bit deployment, as well as increase the amount of storage available for use by the NKP cluster.
- B . Adjust the number of replicas for the Prometheus deployment, as well as increase the amount of storage available for use by the NKP cluster.
- C . Adjust the resource settings for Fluent Bit by increasing its container resource limits and memory settings, as well as its storage.
- D . Adjust the resource settings for Prometheus by increasing its container resource limits and memory settings, as well as its storage.
A company has been modernizing on cloud-native platforms for the past few years and has been running some small consumer support utilities on their production NKP cluster. After a thorough testing and QA cycle with simulated workloads on a development cluster, the company is ready to bring their online retail application into the fold. While they have sufficient system resources to scale the NKP cluster properly from a performance standpoint, they also want to ensure they properly scale their monitoring stack’s resource settings to retain a sufficient amount of data to see how overall system resource utilization trends for the NKP cluster over several months’ time with the added workloads.
Which NKP Platform Application component should the company be most concerned with adjusting, and how should their Platform Engineer adjust it?
- A . Adjust the number of replicas for the Fluent Bit deployment, as well as increase the amount of storage available for use by the NKP cluster.
- B . Adjust the number of replicas for the Prometheus deployment, as well as increase the amount of storage available for use by the NKP cluster.
- C . Adjust the resource settings for Fluent Bit by increasing its container resource limits and memory settings, as well as its storage.
- D . Adjust the resource settings for Prometheus by increasing its container resource limits and memory settings, as well as its storage.
A company has been modernizing on cloud-native platforms for the past few years and has been running some small consumer support utilities on their production NKP cluster. After a thorough testing and QA cycle with simulated workloads on a development cluster, the company is ready to bring their online retail application into the fold. While they have sufficient system resources to scale the NKP cluster properly from a performance standpoint, they also want to ensure they properly scale their monitoring stack’s resource settings to retain a sufficient amount of data to see how overall system resource utilization trends for the NKP cluster over several months’ time with the added workloads.
Which NKP Platform Application component should the company be most concerned with adjusting, and how should their Platform Engineer adjust it?
- A . Adjust the number of replicas for the Fluent Bit deployment, as well as increase the amount of storage available for use by the NKP cluster.
- B . Adjust the number of replicas for the Prometheus deployment, as well as increase the amount of storage available for use by the NKP cluster.
- C . Adjust the resource settings for Fluent Bit by increasing its container resource limits and memory settings, as well as its storage.
- D . Adjust the resource settings for Prometheus by increasing its container resource limits and memory settings, as well as its storage.
Refer to the exhibit.
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.)
- A . Add 6 additional control planes.
- B . Expand the original worker nodepool by up to 8 nodes.
- C . Create a new worker nodepool consisting of 10 nodes with 8 vCPUs per node.
- D . Expand the original worker nodepool by up to 4 nodes and create a new worker nodepool consisting of 6 nodes with 4 vCPUs/node.
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?
- A . kubelet and containerd, in /opt/nkp
- B . kubelet and containerd in /var/lib
- C . kubectl and kubelet in /opt/nkp
- D . kubectl and kubelet in /var/nkp
When deploying NKP using the Nutanix provisioning method (CAPX), what are the supported OS platforms?
- A . CentOS and Rocky Linux
- B . Rocky Linux and Ubuntu
- C . Flatcar, Rocky Linux, and Ubuntu
- D . CentOS and Ubuntu
A Platform Engineer would like to deploy an NKP Platform Application to all the clusters within an NKP workspace from the command line.
What is the command set to use, and what parameters must be specified with it?
- A . The nkp create app deployment command set would be utilized. The application ID & version, as well as the NKP workspace of the clusters, must be provided.
- B . The nkp deploy platform-app command set would be utilized. The application ID, as well as the NKP workspace of the clusters, must be provided.
- C . The nkp deploy app command set would be utilized. The application ID, as well as the NKP workspace of the clusters, must be provided.
- D . The kubectl create app deployment command set would be utilized. The application ID, as well as the NKP workspace of the clusters, must be provided.
A development Kubernetes cluster deployed with NKP is having performance issues. The Cloud Engineer commented that worker VMs are consuming a lot of CPU and RAM. The Platform Engineer took a look at the CPU and RAM statistics with Grafana and confirmed that the worker VMs are running out of CPU and memory. The Kubernetes cluster has 4 workers with 8 vCPUs and 32 GB RAM.
What could the Platform Engineer do?
- A . Call tech support to take a look at the infrastructure and investigate.
- B . Ask developers to lower the number of application replicas.
- C . Add more CPU and memory to workers with nkp scale –cpu 16 –memory 64 –cluster-name ${CLUSTER_NAME}
- D . Add one more worker with nkp scale nodepools ${NODEPOOL_NAME} –replicas=5 –cluster-name=${CLUSTER_NAME} -n ${CLUSTER_WORKSPACE}
An administrator has been trying to deploy an initial AHV-based NKP cluster in a dark site (no Internet connectivity) environment using the command shown in the question.
nkp create cluster nutanix
–cluster-name=$CLUSTER_NAME
–control-plane-prism-element-cluster=$PE_NAME
–worker-prism-element-cluster=$PE_NAME
–control-plane-subnets=$SUBNET_ASSOCIATED_WITH_PE
–worker-subnets=$SUBNET_ASSOCIATED_WITH_PE
–control-plane-endpoint-ip=$AVAILABLE_IP_FROM_SAME_SUBNET
–csi-storage-container=$NAME_OF_YOUR_STORAGE_CONTAINER
–endpoint=$PC_ENDPOINT_URL
–control-plane-vm-image=$NAME_OF_OS_IMAGE_CREATED_BY_NKP_CLI
–worker-vm-image=$NAME_OF_OS_IMAGE_CREATED_BY_NKP_CLI
–registry-url=${REGISTRY_URL}
–registry-mirror-username=${REGISTRY_USERNAME}
–registry-mirror-password=${REGISTRY_PASSWORD}
–kubernetes-service-load-balancer-ip-range $START_IP-$END_IP
–self-managed
Which missing attribute needs to be added in order for the deployment?
- A . –airgapped
- B . –insecure
- C . –registry-url
- D . –registry-username