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Nutanix NCP-CN Exam Syllabus Topics:

Topic	Details
Topic 1	Conduct NKP Fleet Management: This section tests the abilities of platform administrators and cloud operations engineers in managing multiple clusters as a fleet. It focuses on configuring workspaces to organize clusters, deploying workload clusters within these workspaces, and attaching or detaching clusters as needed. Additionally, candidates must be able to configure projects for workload segmentation and manage platform applications that support the overall NKP environment.
Topic 2	Prepare the Environment for an NKP Deployment: This section of the exam measures the skills of infrastructure engineers and cloud administrators and covers the initial setup tasks needed for NKP deployment. Candidates must demonstrate the ability to seed a private container registry, create a bootstrap Kubernetes cluster, and determine license tiers suitable for clusters. They also need to prepare a bastion host for secure access, build machine images or prepare nodes for deployment, and gather all necessary information to build a cluster on the target cloud or on-premises provider.
Topic 3	Manage Building an NKP Cluster: This section evaluates the skills of Kubernetes administrators and platform engineers in customizing and deploying NKP clusters. Candidates must show proficiency in tailoring cluster configurations to meet specific requirements and deploying Kommander, the management platform, while applying the appropriate licenses to enable cluster features and management capabilities.
Topic 4	Perform Day 2 Operations: This part assesses the expertise of site reliability engineers and cluster operators in ongoing cluster management tasks after deployment. It includes configuring authentication and authorization mechanisms, setting up logging systems, and implementing cluster backup and recovery procedures. Candidates also need to demonstrate skills in monitoring cluster performance and health, configuring autoscaling to handle workload changes, and performing lifecycle management functions such as upgrades and maintenance.

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Nutanix Certified Professional - Cloud Native v6.10 Sample Questions (Q13-Q18):

NEW QUESTION # 13
Recently, the reliability of some developer platforms has been impacted by out-of-memory errors, causing pods to crash and then remain in a pending state. A Cloud Engineer has been tasked with collecting and reviewing centralized metrics across the various platform environments to identify differences between them and better understand what is causing these performance issues. What should the engineer do to address this request?

A. Utilize Prometheus to collect and present centralized metrics on NKP attached and managed clusters.
Then configure Thanos Query to monitor and send out alerts based on the metric thresholds that have been configured within it.
B. Utilize Fluentd and Fluent Bit to collect and present centralized metrics on NKP attached and managed clusters. Then visualize these collected and centralized metrics in Grafana.
C. Utilize Thanos to collect and present centralized metrics on NKP attached and managed clusters. Then visualize these collected and centralized metrics in Grafana.
D. Utilize Fluentd and Fluent Bit to collect and present centralized metrics on NKP attached and managed clusters. Then configure Thanos Query to monitor and send out alerts based on the metric thresholds that have been configured within it.

Answer: A

Explanation:
The NKPA course details NKP's monitoring stack for collecting and analyzing metrics across attached and managed clusters, which is critical for troubleshooting issues like out-of-memory errors. The engineer needs to collect centralized metrics and set up alerting to identify performance issues. The correct approach is to use Prometheus for metrics collection and Thanos Query for alerting (Option C).
* Utilize Prometheus to collect and present centralized metrics on NKP attached and managed clusters: Prometheus is NKP's default metrics collection tool, deployed as a platform application. It scrapes metrics (e.g., CPU, memory usage) from nodes, pods, and services across all clusters in a workspace, centralizing them for analysis. The Nutanix Cloud Native (NCP-CN) 6.10 Study Guide states: "Prometheus is used in NKP to collect and present centralized metrics from attached and managed clusters, enabling detailed performance analysis." This is ideal for identifying differences in memory usage causing the out-of-memory errors.
* Configure Thanos Query to monitor and send out alerts based on the metric thresholds that have been configured within it: Thanos Query, part of NKP's monitoring stack, aggregates Prometheus metrics across clusters and provides a unified query interface. It also integrates with Alertmanager to send alerts based on configured thresholds (e.g., memory usage > 90%). The NKPA course notes: "Use Thanos Query to monitor metrics across NKP clusters and configure alerts with Alertmanager to notify engineers of performance issues like out-of-memory errors." This setup helps the engineer proactively address the issue.
Incorrect Options:
* A & B. Utilize Fluentd and Fluent Bit: Fluentd and Fluent Bit are logging tools in NKP, used for collecting logs, not metrics. Metrics collection requires Prometheus.
* D. Utilize Thanos to collect and present centralized metrics: Thanos does not collect metrics directly; it extends Prometheus by providing long-term storage and query aggregation. Prometheus is the primary collection tool.
:
Nutanix Kubernetes Platform Administration (NKPA) Course, Section on Monitoring and Metrics.
Nutanix Cloud Native (NCP-CN) 6.10 Study Guide, Chapter on Day 2 Operations.
Nutanix Cloud Bible, NutanixKubernetesPlatform Section: https://www.nutanixbible.com Prometheus Documentation: https://prometheus.io Thanos Documentation: https://thanos.io

NEW QUESTION # 14
A Platform Engineer wants to deploy a custom OS image for multiple NKP clusters for Nutanix AHV and AWS. Which two tools come bundled to facilitate creating and placing a custom image into the respective image repository?

A. Nutanix Image Builder
B. Ansible
C. Konvoy Image Builder
D. Terraform

Answer: A,C

NEW QUESTION # 15
A Platform Engineer needs to utilize the Konvoy Image Builder for building a custom operating system image. This image will be used to deploy clusters on various platforms. The engineer has been tasked with creating an OS image compatible with Konvoy's requirements. In order to successfully build a compatible image using the Konvoy Image Builder, the engineer needs to ensure that a development environment meets the necessary prerequisites.
Which system is required to create a compatible OS image with the Konvoy Image Builder?

A. A virtualized arm64 environment using KVM
B. An x86_64-based Linux or MacOS Machine
C. A 32-bit Windows machine with a USB connection
D. A lambda instance within an AWS account

Answer: B

Explanation:
The Konvoy Image Builder requires a 64-bit Linux or MacOS environment (x86_64 architecture) to build and customize the OS images.
Reference:
Nutanix Kubernetes Platform Administration (NKPA) 6.10 - "Konvoy Image Builder System Requirements" NCP-CN 6.10 Study Guide - "KIB Environment Prerequisites"
=======

NEW QUESTION # 16
In which unit are NKP licenses able to be obtained?

A. Flash
B. TiBs
C. CPU Sockets
D. CPU Cores

Answer: D

Explanation:
The NKPA course clarifies that NKP licenses are based on the number of CPU cores in the infrastructure hosting the Kubernetes clusters. This licensing model applies to both on-premises (e.g., Nutanix AHV) and cloud-based deployments. The Nutanix Cloud Native (NCP-CN) 6.10 Study Guide states: "NKP licenses are obtained based on the total number of CPU cores allocated to the clusters managed by the platform." This core-based licensing ensures flexibility across different infrastructure types while aligning with the resource consumption of Kubernetes workloads.
Incorrect Options:
* A. Flash: Flash storage is not a licensing unit for NKP.
* B. CPU Sockets: Nutanix licenses for other products may use sockets, but NKP uses cores.
* C. TiBs: Terabytes are used for storage licensing, not NKP.
:
Nutanix Kubernetes Platform Administration (NKPA) Course, Section on Licensing.
Nutanix Cloud Native (NCP-CN) 6.10 Study Guide, Chapter on NKP Licensing.
Nutanix Cloud Bible, NutanixKubernetesPlatform Section: https://www.nutanixbible.com

NEW QUESTION # 17
A company has 30 Edge devices with lightweight Kubernetes, and developers need to push the application to every edge device. An NKP administrator has the NKP Ultimate license tier configured and has access to all kubeconfig files for the 30 edge devices. What is the most efficient way that the administrator can lifecycle manage the application deployments?

A. Create a GitHub configuration, deploy it to the 30 edge devices, and configure them to use a GitHub account.
B. Create a new Workspace and attach the 30 edge devices to this workspace with Attach Cluster.
C. Create a script to automate the deployment to every edge device.
D. Ask the developers to delete the lightweight Kubernetes and deploy new Kubernetes clusters with NKP.

Answer: B

Explanation:
The NKPA course emphasizes that NKP's fleet management capabilities allow administrators to manage multiple Kubernetes clusters, including lightweight clusters on edge devices, by attaching them to an NKP workspace. With the NKP Ultimate license tier, the administrator has access to advanced fleet management features, including GitOps-based application deployment across attached clusters.
The most efficient way to lifecycle manage application deployments across the 30 edge devices is to create a new workspace and attach the 30 edge devices to this workspace using the Attach Cluster functionality (Option D). Once attached, NKP can use GitOps (via Flux) to push applications to all clusters in the workspace simultaneously, ensuring consistent deployment and lifecycle management. The Nutanix Cloud Native (NCP-CN) 6.10 Study Guide states: "For managing edge devices with lightweight Kubernetes, attach the clusters to an NKP workspace using the Attach Cluster feature, enabling centralized application deployment and lifecycle management via GitOps." The administrator can use the kubeconfig files to attach each cluster via the NKP UI or CLI (e.g., nkp attach cluster).
Incorrect Options:
* A. Create a GitHub configuration for each device: This is manual and inefficient compared to NKP's centralized GitOps management.
* B. Create a script to automate deployment: Scripting is error-prone and lacks NKP's built-in fleet management capabilities.
* C. Delete lightweight Kubernetes and deploy new clusters: This is unnecessary, as NKP can manage existing clusters, including lightweight ones.
:
Nutanix Kubernetes Platform Administration (NKPA) Course, Section on Fleet Management.
Nutanix Cloud Native (NCP-CN) 6.10 Study Guide, Chapter on Attaching Clusters.
Nutanix Cloud Bible, NutanixKubernetesPlatform Section: https://www.nutanixbible.com

NEW QUESTION # 18
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