NCP-CN Exam Dumps : Nutanix Certified Professional - Cloud Native (NCP-CN-6.10)

The NKPA course explains that by default, NKP creates new AWS infrastructure (VPC, subnets, ELBs) when deploying a cluster on AWS. However, NKP supports deploying clusters on existing AWS infrastructure by providing custom configurations. The recommended method using the NKP CLI is tocreate an overrides filespecifying the pre-existing VPC, subnets, and ELB, and then pass this file to the nkp create cluster aws command using the --overrides parameter.

The overrides file (e.g., aws-infra-overrides.yaml) contains details like vpcID, subnetIDs, and loadBalancerIDs, which NKP uses to deploy the cluster on the specified infrastructure instead of creating new resources. For example:

yaml

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aws:

vpcID: vpc-12345678

subnetIDs:

- subnet-12345678

- subnet-87654321

loadBalancerIDs:

- elb-12345678

The engineer then runs: nkp create cluster aws --overrides aws-infra-overrides.yaml.

The Nutanix Cloud Native (NCP-CN) 6.10 Study Guide states: “To deploy an NKP cluster on existing AWS infrastructure, create an overrides file with the pre-existing VPC, subnets, and ELB details, and use the --overrides parameter with the nkp create cluster aws command to apply the custom configuration.” This method ensures the AWS team’s requirement is met while leveraging NKP’s CLI for deployment.

Incorrect Options:

A. nkp adopt infrastructure aws: There is no nkp adopt infrastructure command in NKP for this purpose.

C. Use the NKP UI: While the UI allows specifying infrastructure details, the question focuses on the CLI-based deployment, and the UI method is less relevant here.

D. Include parameters directly in nkp create cluster aws: The nkp create cluster aws command does not support direct parameters for VPC, subnets, and ELB; it requires an overrides file.

The Kubernetes Image Builder (KIB) is used to create CAPI-compliant machine images for NKP cluster nodes, often leveraging tools likePackerto build AMIs for AWS. When the KIB process fails, troubleshooting requires detailed logs to identify the root cause. The NKPA course recommends increasing the verbosity of the KIB command to capture detailed output, including AWS CLI commands and their responses.

The correct troubleshooting step is torerun the KIB command with the verbosity level set to debug. This is typically done using the --verbose or -v flag (e.g., -v debug) to enable debug-level logging, which includes all AWS CLI commands, their outputs, and errors, written to a log file for review. The Nutanix Cloud Native (NCP-CN) 6.10 Study Guide states: “To troubleshoot KIB failures, rerun the command with debug verbosity (-v debug) to log all operations, including AWS CLI interactions, to an exported log file for detailed analysis.” This approach helps pinpoint issues like permission errors, misconfigurations, or failures in image bundle uploads.

Incorrect Options:

A. Rerun with pause parameter: KIB does not support a pause parameter for step-by-step review, as per the NKPA course.

C. Instruct Packer not to delete the cloned AMI: While preserving the AMI can help, the course prioritizes debug logging for initial troubleshooting. Packer’s --on-error=abort flag exists, but it’s less direct than debug logs.

D. Instruct Ansible not to delete the cloned AMI: KIB primarily uses Packer, not Ansible, for AMI creation, making this option incorrect.

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.