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| Section | Objectives |
|---|---|
| Recognize Nutanix Solutions and Tools | - Use cases and features of Nutanix management and operational tools - Nutanix solutions, use cases, and features of Nutanix Cloud Infrastructure (NCI) Technologies |
| Demonstrate and Understand Platform Health and Monitoring | - Alerts, events, and performance monitoring - Cluster health checks and resiliency status - Support case creation and diagnostic tools |
| Describe Nutanix Platform Administration | - Virtual machine management tasks - Basic virtual networking configuration - Storage operations and licensing management |
| Describe Cluster Configuration and Maintenance | - Software updates and Life Cycle Management (LCM) - Hardware maintenance procedures - Valid cluster configuration options |
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NEW QUESTION # 73
Before physically removing a failing disk from a Nutanix node, what step must be completed in Prism Element?
Answer: D
Explanation:
The disk must first be logically removed from the cluster through Prism Element. The administrator selects the disk, clicks Remove Disk and confirms the action. AOS then migrates any recoverable data away from the device and updates the cluster's storage metadata. The disk must not be physically removed until the process completes and the disk indicator in the hardware diagram turns red.
The red indicator confirms that AOS has finished the supported logical-removal workflow and that the disk is no longer participating as an active storage device. Physically extracting a disk before this state is reached can interrupt data migration, generate additional alerts and reduce cluster resiliency.
The cluster destroy command would destroy the cluster configuration and is entirely inappropriate for component replacement. Shutting down the CVM would unnecessarily remove storage-controller services from the node and can interfere with the evacuation process. Rebooting the AHV host neither removes the disk from AOS metadata nor confirms that data migration has completed.
NHCF/NCA reference: Hardware maintenance, disk replacement and storage-resiliency procedures; NCA Section 3, "Identify hardware maintenance tasks." Official references: Prism 7.5-Removing a Disk , Prism
7.5-Hardware Table View .
NEW QUESTION # 74
Which minimum licensing option includes Container Storage Interface, Load Balancing, and Role-Based Access Control?
Answer: A
Explanation:
NCI Pro is the minimum listed licensing option that includes the specified capabilities. Official Nutanix licensing documentation states that NKP Starter is included with NCI Pro and NCI Ultimate. NKP Starter provides the Nutanix CSI driver for persistent storage, role-based access control with single sign-on, and load- balancing and ingress services.
NKP Pro also contains these functions because it includes everything in Starter. However, it adds production- oriented services such as an observability stack, backup and restore, service mesh, serverless functions, broader deployment options, and additional platform capabilities. It is therefore not the minimum option among the answers.
NCI Ultimate includes the same NKP Starter entitlement but is a higher NCI tier than NCI Pro. NKP Ultimate is the highest NKP tier and adds fleet management, multitenancy, centralized observability, GitOps, cost management, application-catalog functions, and support for managing broader hybrid multicloud Kubernetes environments.
The decisive requirement is not simply which license contains the features; it is which listed option provides them at the lowest applicable tier. Since NCI Pro includes NKP Starter and Starter supplies CSI, load balancing, and RBAC, option C is technically correct.
NHCF/NCA reference: NCI and NKP editions, licensing, and Kubernetes platform capabilities. Official references: NKP Datasheet and Edition Matrix and Nutanix Cloud Platform Software Options .
NEW QUESTION # 75
How can an administrator protect volume-based containerized workloads?
Answer: A
Explanation:
Nutanix Data Services for Kubernetes (NDK) provides application-centric protection and data-management capabilities for stateful Kubernetes workloads. It is designed to protect persistent application data together with relevant Kubernetes configuration, allowing administrators to apply policies for snapshots, replication, recovery, migration, and disaster recovery. This includes persistent block volumes backed by Nutanix Volumes and, in supported releases, file-based persistent storage.
A generic replication policy does not by itself establish Kubernetes-aware protection. Effective recovery must account for both persistent data and application objects such as namespaces, StatefulSets, services, ConfigMaps, and secrets. NDK coordinates these elements and supplies policy-driven recovery workflows at the application level. Prism Central disaster-recovery capabilities primarily protect supported VM workloads and do not automatically provide the Kubernetes-native application awareness required here. Nutanix Objects replication protects object-store data and buckets rather than persistent block volumes consumed by containerized applications.
Nutanix describes NDK as extending enterprise data services to containerized applications and providing built- in disaster recovery with policy-driven data management. This directly matches the stated requirement.
Reference: Nutanix Data Services for Kubernetes . NHCF alignment: recognizing Nutanix cloud-native products and matching NDK to stateful Kubernetes data protection.
NEW QUESTION # 76
A VM is experiencing delays even though its own CPU usage appears low.
Which metric should be checked to identify scheduling issues?
Answer: D
Explanation:
CPU Ready measures the time during which a virtual CPU is prepared to execute but is waiting for the hypervisor to schedule it on a physical processor. A VM can therefore report low apparent CPU consumption while still responding slowly: its workload is not continuously executing because the assigned vCPUs are waiting for physical CPU time.
Elevated CPU Ready commonly indicates physical CPU contention, excessive vCPU allocation, an unfavorable vCPU-to-core ratio, or competition from other VMs on the host. The administrator should correlate CPU Ready with host CPU utilization, VM sizing, the number of runnable vCPUs, and workload behavior. Assigning additional vCPUs without confirming the cause can worsen scheduling delays because the hypervisor may need to coordinate more virtual processors.
Disk capacity measures available storage space and does not identify processor scheduling latency. Memory usage can reveal pressure, swapping, or insufficient guest memory, but it does not directly represent time spent waiting for CPU scheduling. Snapshot size relates to retained point-in-time storage data and is unrelated to hypervisor CPU dispatch. Nutanix identifies CPU Ready Time as the percentage of CPU wait time, making it the appropriate metric. Reference: Nutanix Intelligent Operations - VM Details and CPU Ready Time .
NHCF alignment: workload performance interpretation.
NEW QUESTION # 77
Which product is best suited for building out and testing Large Language Models (LLMs) in a Nutanix environment?
Answer: D
Explanation:
Nutanix Enterprise AI is specifically designed to simplify the deployment, management, validation, monitoring, and consumption of large language models. It provides an enterprise-grade interface for importing or selecting supported models, deploying inference endpoints, managing API access, testing model endpoints, and observing resource and endpoint behavior. Integration with sources such as NVIDIA NIM and Hugging Face further supports validated model deployment and controlled custom-model use.
Nutanix Intelligent Operations focuses on infrastructure visibility, capacity planning, optimization, anomaly detection, and operational automation. It can monitor the infrastructure supporting AI workloads, but it is not the dedicated platform for managing and testing LLM endpoints. Nutanix Marketplace supplies deployable applications and blueprints rather than a complete LLM operations environment. Nutanix Cloud Clusters extends Nutanix infrastructure into supported public clouds; it provides an execution environment but not the specialized LLM lifecycle and endpoint-management capabilities described in the question.
The Nutanix Enterprise AI datasheet explicitly identifies the ability to find, deploy, manage, and test generative AI LLMs. That product-purpose match makes option C unambiguous. Reference: Nutanix Enterprise AI datasheet . NHCF alignment: Nutanix solution identification and matching products to business use cases.
NEW QUESTION # 78
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