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Nutanix NCP-CN-6.10 試験シラバストピック:

Nutanix Certified Professional - Cloud Native v6.10 認定 NCP-CN-6.10 試験問題：

問題 #1

A company has enabled auto-scaling within an NKP cluster. What is the behavior for auto- scaling?

A. Nodes will be CAPI-created or CAPI-deleted as needed by the cluster.
B. Memory is hot-added or hot-removed from a node.
C. The Power-On Status/Mode of a node is changed to meet load conditions.
D. CPU is hot-added or hot-removed from a node.

問題 #2

After selecting the Production workspace and selecting View Details for the cluster prod-01, a Platform Engineer wanted to enable the NKP Insights application. This application is under the Observability category, but this category doesn't appear in the list. Which action should the engineer take to be able to deploy the NKP Insights application in the Kubernetes cluster for this workspace?

A. Select Insights in the left menu and select the Enable button.
B. Select Clusters in the left menu, select Applications, and select Enable in the NKP Insights three- dot menu.
C. Select Clusters in the left menu, select View Details for the cluster prod-01, then in the Application Dashboard, select Enable in the NKP Insights three-dot menu.
D. Select Applications in the left menu, press the three-dot menu in the NKP Insights application option, and select Enable.

問題 #3

After loading the NKP bundles to a private registry in an air-gapped environment, a Platform Engineer now needs the Konvoy bootstrap image to create the bootstrap cluster. The Konvoy image has not been loaded into the registry. Which is the most viable command to load the Konvoy bootstrap image on the bastion host?

A. docker image tag konvoy-bootstrap-image-<version>.tar version docker.io/konvoy-bootstrap version
B. nkp push bundle --bundle konvoy-bootstrap-image-<version>.tar --to-registry=<REGISTRY_URL>
C. docker load -i konvoy-bootstrap-image-<version>.tar
D. nkp load image -f konvoy-bootstrap-image-<version>.tar --to-registry=<REGISTRY_URL>

問題 #4

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. Add more CPU and memory to workers with nkp scale --cpu 16 --memory 64 --cluster-name
${CLUSTER_NAME}
B. Ask developers to lower the number of application replicas.
C. Add one more worker with nkp scale nodepools ${NODEPOOL_NAME} --replicas=5 --cluster- name=${CLUSTER_NAME} -n ${CLUSTER_WORKSPACE}
D. Call tech support to take a look at the infrastructure and investigate.

問題 #5

A Cloud Engineer is deploying an NKP Cluster in AWS. The environment is for testing purposes only, so the AWS team has requested it be deployed to use a minimal set of system resources to reduce cloud subscription fees. Which two parameters should be specified when initializing a Kommander installation, using the nkp install kommander command set? (Choose two.)

A. --request-timeout
B. --wait-timeout
C. --yaml
D. --init

解説：