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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Conduct NKP Fleet Management | 20% | - Deploy and manage platform applications - Attach, detach, or remove clusters from workspaces - Configure workspaces for cluster organization - Configure projects for resource segmentation - Deploy workload clusters into workspaces |
| Topic 2: Perform Day 2 Operations | 30% | - Set up logging and monitoring systems - Implement backup and recovery procedures - Perform lifecycle management: upgrades, updates, maintenance - Configure cluster autoscaling - Monitor cluster performance and health - Configure authentication and authorization |
| Topic 3: Prepare the Environment for an NKP Deployment | 22% | - Determine license tiers (Community, Standard, Enterprise) - Prepare a bastion host - Gather deployment configuration information - Create a bootstrap cluster - Seed a private container registry - Build machine images or prepare target nodes |
| Topic 4: Manage Building an NKP Cluster | 28% | - Apply and manage cluster licenses - Customize and deploy NKP clusters - Customize and deploy Kommander management platform |
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NEW QUESTION # 74
Refer to the exhibits.
A Cloud Administrator had provisioned a Kubernetes cluster named demo that is no longer actively being used. A Quick review from the Systems Engineer confirms that the following VMs are part of the demo Kubernetes cluster
How should the demo cluster be properly deleted?
Answer: C
Explanation:
Comprehensive and Detailed Explanation:
The correct procedure for deleting an NKP cluster involves using the nkp delete cluster command with the appropriate cluster name and namespace. This ensures that not only the Kubernetes resources but also the corresponding NKP resources (e.g., nodepools, Kommander integration) are deleted cleanly and consistently.
Simply deleting the VMs does not clean up the associated NKP management objects. This approach is detailed in the NKP documentation for cluster lifecycle management, emphasizing the need to use the provided CLI commands for full removal.
References: NCP-CN-6.10 Course Material - Cluster Deletion Commands
NEW QUESTION # 75
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 # 76
To keep an NKP cluster and applications healthy and drive productivity forward, a Platform Engineer needs to stay informed of all events occurring within the cluster. What component of kube-prometheus-stack will help the engineer to stay informed of these events in NKP?
Answer: A
Explanation:
The kube-prometheus-stack is a key component of NKP's monitoring stack, providing tools for metrics collection, visualization, and alerting. The NKPA course explains that Alertmanager, a component of the kube-prometheus-stack, is responsible for handling alerts generated from Prometheus metrics. It aggregates, deduplicates, and routes notifications to the appropriate channels (e.g., email, Slack, PagerDuty), ensuring that the Platform Engineer stays informed of critical events and anomalies in the NKP cluster, such as node failures, resource exhaustion, or application errors.
The Nutanix Cloud Native (NCP-CN) 6.10 Study Guide states: "Alertmanager in the kube-prometheus-stack processes alerts from Prometheus, enabling administrators to stay informed of cluster events through configured notification channels." By configuring Alertmanager with appropriate routing rules and receivers, the engineer can receive real-time notifications about cluster events, driving proactive management and productivity.
Incorrect Options:
* A. prometheus-operator: The operator manages Prometheus and related resources but does not directly handle event notifications.
* B. service monitors: Service monitors define how Prometheus scrapes metrics, not how events are communicated.
* D. node-exporter: Node-exporter collects node-level metrics, not event notifications.
:
Nutanix Kubernetes Platform Administration (NKPA) Course, Section on Monitoring and Alerting.
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/docs/alerting/alertmanager
NEW QUESTION # 77
A company is required by NIST to follow FIPS guidelines for compliance.
What is the first step for enabling FIPS in NKP?
Answer: A
NEW QUESTION # 78
A Platform Engineer is going to deploy NKP to a Nutanix cluster on-prem as well as Amazon EKS. What is the function of the bootstrap cluster for this architecture?
Answer: B
NEW QUESTION # 79
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