Nutanix NCP-CN-6.10 Exam Syllabus Topics:

Nutanix Certified Professional - Cloud Native v6.10 Sample Questions:

1. A Platform Engineer is a member of an IT team that provides Kubernetes clusters for three groups within a company named Fin Group, Inc.:
Fin VD
Fin Insurance
Fin Travel
The engineer created workspaces for each group. Fin Group Inc. has its own Active Directory implementation, while each group uses their own Identity Provider. Now, the engineer needs to assign the Tenant Administrators role for each workspace. How will the engineer complete this task?

A) Create a role named admin-tenant-X, where X is the name of the group, and assign that role to manage the corresponding workspace.
B) Create a role binding and assign it to manage the corresponding workspace.
C) Configure the global Active Directory and assign a workspace admin user to each group.
D) Configure a dedicated identity provider for each group to access their own workspace.

2. A current Nutanix cluster is hosting an NKP cluster and a production Kubernetes cluster named production. Infrastructure administrators recently added three nodes with NVidia GPUs for a new AI initiative, and now a Platform Engineer has been asked to add three workers with the GPUs to the production Kubernetes cluster. Which first step should the engineer take to achieve this task?

A) Create a nodepool of workers with GPU:textCollapseWrapCopynkp create nodepool nutanix -c
$CLUSTER_NAME \--vm-image $NAME_OF_GPU_OS_IMAGE_CREATED_BY_NKP_CLI \-o
yaml -- subnets $NUTANIX_SUBNET_NAME \--prism-element-cluster
$NUTANIX_PRISM_ELEMENT_CLUSTER_NAME \$NODEPOOL_NAME
B) Configure Multi-Instance GPU (MIG):textCollapseWrapCopykubectl label nodes ${NODE} nvidia.com/mig.config=all-1g.6gb verwrite
C) Create a GPU-compatible OS Image with:textCollapseWrapCopynkp create image nutanix --gpu \-
- gpu-name=${GPU_NAME} \--cluster=${NUTANIX_CLUSTER_NAME} \--endpoint=${NUTANIX_PC_ENDPOINT} \--subnet=${NUTANIX_SUBNET} ubuntu-22.04
D) Add the GPU Operator to the new workers:textCollapseWrapCopycat <<EOF | kubectl apply -f - kind: Installationapps:nvidia-gpu-operator:enabled: truevalues: |toolkit:nodepool: md-0EOF

3. Which resource must be configured to allow deployment of applications into a workspace?

A) Infrastructure Provider
B) PVC (Persistent Volume Claim)
C) RoleBinding
D) ServiceMonitor

4. A dev team needed to optimize their logging system to be more robust, because the CPU and memory limits were insufficient, which caused delays in log collection and processing during times of high demand.
After a deep performance analysis, they decided to increase the CPU limits from 1 to 4 and the memory from 1000Mi to 4Gi.
Which ConfigMap should the development team run with custom resource requests and limit values for fluentd?

A) bashCopy
[nutanix@nkp-boot ~]$ cat <<EOF > configmap.yamlapiVersion: v1kind:
ConfigMapmetadata:name:
logging-operator-logging-overridesnamespace: kommanderdata:values.yaml:
|fluentd:resources:limits:cpu: 4memory: 4Girequests:cpu: 4memory: 4GiEOF
B) bashCopy
[nutanix@nkp-boot ~]$ cat <<EOF > configmap.yamlapiVersion: v1kind:
ConfigMapmetadata:name:
logging-operator-logging-overridesnamespace: kommanderdata:values.yaml:
|fluentdresourceslimitscpu 4memory 1000Mirequestscpu 1memory 4GiEOF
C) bashCopy
[nutanix@nkp-boot ~]$ cat <<EOF > configmap.yamlapiVersion v1kind ConfigMapmetadataname logging-operator-logging-overridesnamespace kommanderdatavalues.yaml
|fluentdresourceslimitscpu 1memory 1000Mirequestscpu 4memory 4GiEOF
D) bashCopy
[nutanix@nkp-boot ~]$ cat <<EOF > configmap.yamlapiVersion v1kind ConfigMapmetadataname logging-operator-logging-overridesnamespace kommanderdatavalues.yaml
|fluentdresourceslimitscpu 4EOFvalues.yaml |fluentdresourceslimitscpu 4memory 4Girequestscpu
1memory 1000MiEOF

5. 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) kubectl and kubelet in /opt/nkp
B) kubelet and containerd, in /opt/nkp
C) kubectl and kubelet in /var/nkp
D) kubelet and containerd in /var/lib

Solutions: