NCP-CN-V6-10: Nutanix Certified Professional - Cloud Native

By Nutanix · Browse Mode
About the Exam

This certification measures a candidate’s ability to deploy, configure, optimize, troubleshoot, and perform administrative tasks on a Nutanix Kubernetes Platform (NKP) cluster. It is aimed at professionals with Kubernetes, Linux, and platform administration experience, including DevOps engineers, cloud engineers, NKP administrators, platform administrators, and platform engineers. Passing demonstrates mastery of NKP cluster operations and related day-to-day platform management skills.

Exam Topics

  • Prepare the Environment for an NKP Deployment0%
  • Manage Building an NKP Cluster0%
  • Perform Day 2 Operations0%
  • Conduct NKP Fleet Management0%

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Last updated April 1, 2026 at 11:54 PM

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QuestionQ1

Perform Day 2 Operations

To keep an NKP cluster and its applications healthy and advance productivity, a Platform Engineer must remain aware of every event occurring within the cluster.

Which kube-prometheus-stack component helps the engineer stay informed of these events in NKP?

Explanation

Alertmanager receives alerts from Prometheus and groups, deduplicates, routes, and delivers their notifications to configured receivers, enabling engineers to be notified of cluster and application conditions that require attention.

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QuestionQ2

Perform Day 2 Operations

A company has been modernizing on cloud-native platforms for the past few years and has operated several small consumer-support utilities on its production NKP cluster.

After a thorough testing and QA cycle with simulated workloads on a development cluster, the company is ready to bring its online retail application into the fold. Although it has sufficient system resources to scale the NKP cluster appropriately from a performance perspective, it also wants to scale its monitoring stack resource settings correctly to retain enough data to view overall NKP-cluster system resource-utilization trends over several months with the added workloads.

Which NKP Platform Application component should the company be most concerned with adjusting, and how should its Platform Engineer adjust it?

Explanation

Prometheus collects and retains the time-series metrics used to analyze Kubernetes and platform-service resource utilization. As cluster workloads and the desired retention period grow, Prometheus needs higher container CPU and memory capacity for metric ingestion and querying, along with more persistent storage for retained metrics. NKP sizing guidance specifically provides Prometheus resource settings and storage values that increase with cluster size and workload.

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QuestionQ3

Perform Day 2 Operations

A company has enabled autoscaling in an NKP cluster.

What is the correct autoscaling behavior?

Explanation

NKP autoscaling is horizontal node scaling: Cluster API (CAPI) creates worker nodes when the cluster needs additional capacity and deletes nodes when they are no longer needed. It does not hot-add or hot-remove CPU or memory, nor merely change a node’s power state.

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QuestionQ4

Perform Day 2 Operations

A Kubernetes administrator must deploy a new Kubernetes cluster in a new workspace. The cluster needs a predictive analytics solution that identifies present and future anomalies.

Which option must the administrator deploy after the cluster is ready?

Explanation

NKP Insights provides AI-driven Kubernetes analytics and anomaly detection with root-cause analysis, making it the component intended to identify anomalous cluster behavior proactively.

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QuestionQ5

Conduct NKP Fleet Management

A company operates 30 Edge devices running lightweight Kubernetes, and developers must deploy the application to every edge device.

An NKP administrator has the NKP Ultimate license tier configured and can access all kubeconfig files for the 30 edge devices.

What is the most efficient method for the administrator to lifecycle-manage the application deployments?

Explanation

NKP can attach and centrally manage existing CNCF-conformant Kubernetes clusters. Grouping the 30 attached edge clusters in an NKP Workspace provides a single management scope for deploying and lifecycle-managing applications across the fleet, using the available kubeconfig credentials. NKP Ultimate includes the centralized fleet-management capabilities needed for this approach.

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