Nutanix NCP-CN Exam With Confidence Using Practice Dumps

When an Amazon EKS cluster is attached to NKP for fleet management, NKP uses GitOps principles, leveragingFlux(a GitOps operator) to synchronize application deployments and configurations from a management Git repository to the attached cluster. The NKPA course explains that detaching a cluster from NKP removes it from the NKP management plane, but the Flux installation on the cluster may continue to reconcile with the Git repository, causing application changes to persist post-detachment.

To resolve this, the engineer must manually disconnect the Flux installation by suspending the Git repository reconciliation. The correct command, as per the NKPA course, is: kubectl -n kommmander-flux patch gitrepo management -p '{"spec":{"suspend":true}}' --type merge. This command suspends Flux’s synchronization with the management Git repository, stopping further application updates. The Nutanix Cloud Native (NCP-CN) 6.10 Study Guide states: “After detaching an external cluster from NKP, the Flux GitOps operator may continue to apply changes unless its GitRepo resource is suspended using kubectl patch in the kommmander-flux namespace.”

Incorrect Options:

A. Forcefully detach EKS cluster: The --force flag is not a standard option for the nkp detach cluster command, and forceful detachment does not address the Flux reconciliation issue.

B. Detached cluster must also be deleted from NKP: The cluster is already detached, and deletion is not necessary to stop GitOps updates. The issue lies with Flux, not NKP’s state.

C. Developers must have some bad configuration: The issue is not with developer configurations but with Flux’s ongoing synchronization, as explained in the NKPA course.

The NKPA course highlights thatNKP Insightsis the platform’s integrated solution for observability and analytics, providing predictive analytics to detect current and future anomalies in Kubernetes clusters. NKP Insights leverages machine learning to analyze metrics, logs, and events, identifying performance issues and potential failures proactively. After deploying a new cluster, the administrator can enable NKP Insights as a platform application in the workspace to meet the predictive analytics requirement.

The Nutanix Cloud Native (NCP-CN) 6.10 Study Guide states: “NKP Insights provides predictive analytics and anomaly detection for Kubernetes clusters, enabling administrators to monitor and optimize cluster performance.” This is deployed via the NKP UI or CLI by enabling the Insights application in the workspace.

Incorrect Options:

B. NCM Intelligent Ops: Nutanix Cloud Manager (NCM) Intelligent Ops is for broader infrastructure management, not Kubernetes-specific analytics.

C. Nutanix Pulse: Pulse is a telemetry service for Nutanix support, not for analytics.

D. NKP AI Navigator: This is not a recognized NKP component in the NKPA documentation.

As stated in theNKPA 6.10 documentation, when using external storage (such as AWS S3) withLokifor log storage, AWS credentials must be provided securely. This typically involves creating a KubernetesSecretcontaining the static AWS credentials (access key ID and secret access key), which are referenced in the override ConfigMap to authenticate Loki’s S3 storage backend.

Key reference from documentation:

“For Loki to store logs in an S3 bucket, AWS credentials must be created as a Kubernetes secret and referenced in the storage configuration.”