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Nutanix NCA-7.5 Exam Syllabus Topics:

SectionObjectives
Topic 1: Recognize Nutanix Solutions and Tools- Recognize Nutanix tools, features, and use cases
- Recognize non-NCI Nutanix technologies, features, and use cases
- Recognize Nutanix Cloud Infrastructure (NCI) technologies, features, and use cases
Topic 2: Describe Cluster Configuration and Maintenance- Identify software maintenance tasks
- Describe supported cluster configuration options
- Identify hardware maintenance tasks
Topic 3: Demonstrate and Understand Platform Health and Monitoring- Review and interpret alerts and events
- Leverage support functions
- Review and interpret workload performance
- Perform and interpret health checks
Topic 4: Describe Nutanix Platform Administration- Describe licensing tasks
- Describe virtual machine administration tasks
- Identify virtual networking tasks
- Discuss storage operations

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Nutanix Certified Associate (NCA) 7.5 Exam Sample Questions (Q61-Q66):

NEW QUESTION # 61
A VM is experiencing delays even though its own CPU usage appears low.
Which metric should be checked to identify scheduling issues?

Answer: A

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 # 62
An administrator needs to configure cluster fault tolerance of 1N & 1D.
How many nodes must the cluster have for this task?

Answer: A

Explanation:
The 1N & 1D cluster fault-tolerance level is supported on a three-node cluster. It is designed to maintain access to data when one complete node and one additional disk fail concurrently, provided that the failures and remaining resources satisfy the documented resiliency conditions. To achieve this protection level, the platform configures replication factor 3 for the relevant data and maintains three metadata copies.
This configuration is distinct from standard 1N/1D fault tolerance, which protects against either one node failure or one disk failure and normally uses data replication factor 2. The ampersand in 1N & 1D is technically significant because it indicates simultaneous node-and-disk protection.
A two-node cluster uses a separate witness-based architecture and cannot provide this three-node 1N & 1D configuration. Nutanix documentation identifies three as both the required and supported node count for this specific fault-tolerance mode. Larger conventional clusters use their applicable fault-tolerance configurations rather than treating 1N & 1D as an arbitrary scalable setting.
Administrators must also verify that the cluster has sufficient resilient capacity before enabling the higher protection level. References: Prism 7.5 - One Node and One Disk Cluster Fault Tolerance and Cluster Fault Tolerance .


NEW QUESTION # 63
Which Nutanix product provides capabilities for advanced insights and automation for troubleshooting applications?

Answer: C

Explanation:
NCM Intelligent Operations provides centralized monitoring, advanced operational analytics, capacity planning, anomaly detection, resource optimization, reporting, and automation. It evaluates infrastructure and workload behavior across managed environments and helps administrators correlate performance conditions with affected applications and resources. Its automation capabilities can initiate predefined actions or playbooks when specified events, alerts, or operational conditions occur.
Nutanix Cloud Infrastructure supplies the core compute, storage, virtualization, networking, resilience, and management foundation. Although it exposes operational metrics through Prism, it is not the dedicated advanced analytics and automation product described in the question. Nutanix Enterprise AI is used to deploy, manage, monitor, and test large language models and inference endpoints. Nutanix Cloud Clusters extends Nutanix infrastructure into supported public-cloud environments but does not itself provide the specialized operational-intelligence feature set.
Intelligent Operations is specifically positioned as an end-to-end operations, monitoring, optimization, and planning solution. It can identify anomalous behavior, inefficient VMs, resource constraints, and capacity risks while reducing manual troubleshooting through automated workflows. References: NCM Intelligent Operations Overview and Nutanix Cloud Monitoring and Intelligent Operations . NHCF alignment:
recognizing Nutanix management and operations products.


NEW QUESTION # 64
Which product is best suited for building out and testing Large Language Models (LLMs) in a Nutanix environment?

Answer: A

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 # 65
Which action will ensure AHV automatically assigns an IP address to a VM?

Answer: A

Explanation:
AHV provides integrated IP Address Management through a managed virtual network. Enabling IPAM on the VM's existing virtual network and defining a DHCP address pool allows AHV to intercept the guest's DHCP request and allocate an available address from that pool. During VM or vNIC configuration, the administrator can then select DHCP assignment, allowing the platform to manage address allocation automatically.
Option B is the complete action for converting the VM's current network into an IPAM-capable network.
Although an IPAM-enabled network can also be created from the beginning, option C creates a different network and does not, by itself, ensure that the existing VM is connected to it. Option A may provide conventional external DHCP, but it does not constitute AHV-managed IPAM. Option D is invalid because the Controller VM is not intended to be repurposed as an administrator-configured DHCP server.
The DHCP pool must contain valid addresses for the subnet and exclude reserved infrastructure addresses.
The VM must also be attached to that managed network and configured for DHCP; otherwise, AHV cannot complete the allocation.
NHCF/NCA reference: Networking-AHV networking basics, managed networks, IPAM and virtual-network configuration; NCA Section 2, "Identify virtual networking tasks." Official references: AHV IP Address Management , Creating an AHV VM .


NEW QUESTION # 66
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