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Nutanix NCP-CN Exam Overview:

Certification Vendor:Nutanix
Exam Name:Nutanix Certified Professional - Cloud Native v6.10
Exam Number:NCP-CN v6.10
Certificate Validity Period:2 years
Passing Score:300 (scaled score)
Related Certifications:Nutanix Certified Associate (NCA)
Nutanix Certified Professional - Multicloud Infrastructure (NCP-MCI)
Exam Duration:120 minutes
Available Languages:English
Exam Format:Drag and Drop, Performance-Based Labs, Multiple Response, Multiple Choice
Exam Price:USD 199 (may vary by region)
Real Exam Qty:Approximately 75
Recommended Training:Nutanix University Kubernetes Courses
Nutanix Certified Professional - Cloud Native (NCP-CN) Training
Exam Registration:Nutanix Training & Certification Portal
Sample Questions:Nutanix NCP-CN Sample Questions
Exam Way:Online proctored exam and testing center options may be available depending on region
Pre Condition:Recommended: Basic Kubernetes knowledge and familiarity with Nutanix infrastructure. No strict prerequisites, but NCA or equivalent experience is suggested.
Official Syllabus URL:https://www.nutanix.com/training-certification

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Nutanix NCP-CN Exam Syllabus Topics:

TopicDetails
Topic 1
  • 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.
Topic 2
  • 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 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
  • 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.

Nutanix Certified Professional - Cloud Native v6.10 Sample Questions (Q95-Q100):

NEW QUESTION # 95
A Platform Engineer would like to deploy an NKP Platform Application to all the clusters within an NKP workspace from the command line. What is the command set to use, and what parameters must be specified with it?

Answer: D

Explanation:
NKP Platform Applications (e.g., Rook Ceph, Prometheus, Fluent Bit) are pre-integrated tools that can be deployed to Kubernetes clusters within a workspace to provide services like storage, monitoring, and logging.
The NKPA course specifies that to deploy a platform application to all clusters in a workspace from the command line, the engineer uses the nkp create appdeployment command. This command creates an application deployment resource that targets the specified workspace and clusters.
The required parameters include the application ID (to identify the platform application), the version (to specify the desired version of the application), and the NKP workspace (to define the scope of clusters). For example: nkp create appdeployment --app-id prometheus --version 2.30.0 --workspace fin-vd. The Nutanix Cloud Native (NCP-CN) 6.10 Study Guide states: "Use the nkp create appdeployment command to deploy platform applications, specifying the application ID, version, and target workspace to apply the deployment across all clusters in that workspace." Incorrect Options:
* B. nkp deploy platform-app: This is not a valid NKP command. The correct command is nkp create appdeployment.
* C. nkp deploy app: This is not a recognized command in the NKPA documentation.
* D. kubectl create appdeployment: kubectl interacts with Kubernetes resources, not NKP-specific platform applications.
:
Nutanix Kubernetes Platform Administration (NKPA) Course, Section on Platform Application Deployment.
Nutanix Cloud Native (NCP-CN) 6.10 Study Guide, Chapter on Day 2 Operations.
Nutanix Cloud Bible, NutanixKubernetesPlatform Section: https://www.nutanixbible.com


NEW QUESTION # 96
An infrastructure team has configured a Backup Storage Location on an existing AWS bucket and created a backup named testbackup. What command can the team use to view the backup?

Answer: A


NEW QUESTION # 97
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?

Answer: B

Explanation:
As outlined in the NKPA 6.10 documentation under "Customizing Resource Requests and Limits for Logging," to override the default resource values for the logging operator, a ConfigMap named logging- operator-logging-overrides in the kommander namespace is used. The values.yaml in the ConfigMap should precisely define fluentd resource limits and requests in a valid YAML format.
The correct YAML format is:
yaml
Copy
apiVersion: v1
kind: ConfigMap
metadata:
name: logging-operator-logging-overrides
namespace: kommander
data:
values.yaml: |
fluentd:
resources:
limits:
cpu: 4
memory: 4Gi
requests:
cpu: 4
memory: 4Gi
This ensures that the desired CPU and memory resources are correctly applied for the fluentd daemon, avoiding parsing errors and meeting the high-demand logging needs.
Reference:
Nutanix Kubernetes Platform Administration (NKPA) 6.10 - "Configuring Logging Resources" NCP-CN 6.10 Study Guide - "Overriding Fluentd Resources Using ConfigMap"
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NEW QUESTION # 98
A company has been modernizing on cloud-native platforms for the past few years and has been running some small consumer support utilities on their production NKP cluster. After a thorough testing and QA cycle with simulated workloads on a development cluster, the company is ready to bring their online retail application into the fold. While they have sufficient system resources to scale the NKP cluster properly from a performance standpoint, they also want to ensure they properly scale their monitoring stack's resource settings to retain a sufficient amount of data to see how overall system resource utilization trends for the NKP cluster over several months' time with the added workloads. Which NKP Platform Application component should the company be most concerned with adjusting, and how should their Platform Engineer adjust it?

Answer: B

Explanation:
The NKPA course explains that NKP's monitoring stack includes Prometheus for metrics collection and storage, and Fluent Bit for log collection and forwarding. To retain system resource utilization data over several months, the company must focus on Prometheus, as it is responsible for storing time-series metrics data, such as CPU, memory, and network utilization, which are critical for long-term trend analysis.
To handle the increased workload from the online retail application, the Platform Engineer should adjust Prometheus by increasing its container resource limits and memory settings to ensure it can process and store more metrics, and increasing its storage to retain data for several months. The Nutanix Cloud Native (NCP-CN) 6.10 Study Guide states: "For long-term metrics retention in NKP, scale the Prometheus deployment by increasing its resource limits (CPU and memory) and expanding its persistent storage to accommodate larger time-series data." This involves editing the Prometheus deployment's resource settings (e.
g., via kubectl edit deployment) and updating the PersistentVolumeClaim (PVC) to allocate more storage.
Incorrect Options:
* A. Adjust the number of replicas for Fluent Bit: Fluent Bit handles logs, not metrics. Increasing replicas does not address long-term metrics storage.
* B. Adjust the number of replicas for Prometheus: Increasing replicas improves availability but does not directly address storage or resource needs for metrics retention.
* C. Adjust the resource settings for Fluent Bit: Fluent Bit is for log collection, not metrics storage, and is not relevant for this use case.
:
Nutanix Kubernetes Platform Administration (NKPA) Course, Section on Monitoring and Platform Applications.
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


NEW QUESTION # 99
A Platform Engineer is looking to backup and restore persistent volumes and other cluster resources. Which two NKP licenses include backup and restore functionality? (Choose two.)

Answer: C,D


NEW QUESTION # 100
......

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