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| Section | Objectives |
|---|---|
| Topic 1: Describe Nutanix Platform Administration | - Describe licensing tasks - Describe virtual machine administration tasks - Identify virtual networking tasks - Discuss storage operations |
| Topic 2: Demonstrate and Understand Platform Health and Monitoring | - Leverage support functions - Review and interpret workload performance - Perform and interpret health checks - Review and interpret alerts and events |
| Topic 3: Recognize Nutanix Solutions and Tools | - Recognize Nutanix Cloud Infrastructure (NCI) technologies, features, and use cases - Recognize non-NCI Nutanix technologies, features, and use cases - Recognize Nutanix tools, features, and use cases |
| Topic 4: Describe Cluster Configuration and Maintenance | - Describe supported cluster configuration options - Identify hardware maintenance tasks - Identify software maintenance tasks |
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NEW QUESTION # 17
Where should a support ticket be opened with Nutanix?
Answer: D
Explanation:
A Nutanix support ticket should be opened from the case-management area of the Nutanix Smart Support or Support Portal by navigating to Cases and selecting the option to create or open a case. This location provides access to existing cases, entitlement and asset information, severity selection, problem descriptions, and diagnostic uploads.
The Account area is used for account-related administration and is not the normal navigation path for submitting a technical case. Prism Element also does not provide a User-menu path named Create Case, eliminating option A.
Current Prism Central releases can expose support-case functionality, but the documented navigation is through the Help icon and Create Support Case-not through the User menu stated in option C. Therefore, option C is incorrect as written even though Prism Central may integrate with Nutanix Support.
When creating the case, the administrator should provide the affected cluster or asset, AOS and hypervisor versions, severity, business impact, recent changes, timestamps, and relevant logs. Accurate case classification and diagnostic information reduce investigation time.
NHCF/NCA reference: Smart Support, Nutanix Support Portal, case creation, and support tools. Official references: Getting Started with Nutanix Support , Accessing the Support Portal , and Creating a Support Case
.
NEW QUESTION # 18
Refer to the exhibit.
A VM is experiencing poor performance at the storage level.
After reviewing the image, which action should the administrator take?
Answer: C
Explanation:
The exhibit displays the Cluster-wide Controller Latency metric, which represents the average time required for I/O operations to be processed by the cluster's storage controllers. Although the chart contains a latency spike, it does not establish that the cluster lacks SSD capacity or that a Controller VM is undersized. The first diagnostic action should be to determine whether a storage policy, particularly a storage Quality of Service configuration, is limiting the VM.
Storage QoS can impose an IOPS limit on a VM. When the workload reaches that limit, I/O requests are delayed to enforce the configured policy, producing elevated latency even when the physical storage subsystem has sufficient capacity. Nutanix documentation specifically notes that a maximum-IOPS configuration can cause higher latency to appear for the affected VM.
Migrating the VM to another host is unlikely to resolve a policy-enforced storage limit because Nutanix storage is distributed across the cluster. Increasing CVM memory or purchasing additional SSDs would be premature without evidence of sustained resource exhaustion. The appropriate first step is therefore to inspect the VM's applicable storage policy and QoS settings. References: Prism 7.5 - Storage Overview and Prism Central 7.5 - Storage QoS .
NEW QUESTION # 19
Which product is best suited for building out and testing Large Language Models (LLMs) in a Nutanix environment?
Answer: B
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 # 20
An administrator needs to ensure that business-critical VMs maintain normal CPU performance.
Which action can the administrator take to generate alerts when VMs are oversubscribed during peak hours?
Answer: A
Explanation:
CPU Ready Time measures the percentage of time that a VM's virtual CPUs are ready to execute but cannot be scheduled on physical CPU resources. It is therefore a direct indicator of processor contention or CPU oversubscription. A VM can show moderate CPU utilization while still suffering poor response times because its vCPUs are waiting for execution time.
Prism Central supports user-defined alert policies based on infrastructure metrics, including VM CPU Ready Time. The administrator can define a threshold and evaluation period so that an alert is generated when scheduling delays exceed an acceptable level during peak demand. This produces proactive notification instead of requiring periodic manual review.
Pulse sends diagnostic information to Nutanix Support but does not create the workload-specific threshold requested. Increasing vCPU allocation without first validating contention may worsen CPU Ready Time because the hypervisor must schedule additional virtual processors. Reviewing average CPU usage is retrospective and does not automatically generate an alert. The most precise control is therefore a custom CPU Ready alert. References: Prism Central 7.5 - Alert Metrics and Intelligent Operations - Chart Metrics .
NEW QUESTION # 21
Refer to the exhibit.
The VM memory-usage graph shows a measured value of approximately 42.95%, with the utilization line remaining inside the blue baseline band.
What should be considered regarding memory usage?
Answer: D
Explanation:
The VM's memory-consumption line remains inside the blue baseline band, so its behavior falls within the learned baseline range. Prism Central uses historical observations and machine-learning analysis to establish the range of values normally expected for an entity and metric. The blue band represents that expected operating range; a value outside the band may be identified as anomalous, depending on duration and deviation.
The displayed value of approximately 42.95% is below 50%, which immediately invalidates option A. More importantly, memory-utilization percentage represents the portion of the VM's allocated memory currently being consumed. It does not mean the host can provide only that percentage of the requested memory, so option C incorrectly interprets utilization as a resource-allocation failure.
The graph also does not provide sufficient evidence to halve the VM's configured memory. Right-sizing requires longer-term utilization, swap activity, workload requirements, peak behavior, and operational policy-not a single observed percentage. Option D therefore recommends an unsupported configuration change.
The correct operational conclusion is limited and precise: the measured behavior is within the VM's learned normal range and is not shown as an anomaly.
NHCF/NCA reference: Prism metrics, behavioral baselines, anomalies, and VM monitoring. Official references: Prism Central Metrics Tab and Cluster Details and Baseline Range .
NEW QUESTION # 22
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