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| Section | Objectives |
|---|---|
| Demonstrate and Understand Platform Health and Monitoring | - Review and interpret workload performance - Perform and interpret health checks - Review and interpret alerts and events - Leverage support functions |
| Describe Nutanix Platform Administration | - Describe licensing tasks - Identify virtual networking tasks - Describe virtual machine administration tasks - Discuss storage operations |
| Describe Cluster Configuration and Maintenance | - Describe supported cluster configuration options - Identify hardware maintenance tasks - Identify software maintenance tasks |
| Recognize Nutanix Solutions and Tools | - Recognize non-NCI Nutanix technologies, features, and use cases - Recognize Nutanix tools, features, and use cases - Recognize Nutanix Cloud Infrastructure (NCI) technologies, features, and use cases |
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NEW QUESTION # 35
Which option best describes Nutanix Konnector?
Answer: D
Explanation:
Nutanix Konnector is designed to automate the onboarding and registration of Kubernetes clusters with Prism Central. Nutanix describes it as a lightweight component that establishes the integration required for Prism Central to discover Kubernetes clusters and correlate them with the underlying Nutanix infrastructure.
After onboarding, Prism Central can provide infrastructure-oriented visibility into Kubernetes environments, including the relationship between clusters, virtual machines, persistent storage, networking context and relevant infrastructure alerts. Starting with supported NKP and Prism Central releases, Konnector can automatically onboard NKP-managed clusters, reducing the need for separate manual registration steps.
Option D is incorrect because Konnector's primary function is not to convert or attach a non-NKP cluster to the NKP management plane. Its management destination is Prism Central. Options A and B describe storage- connectivity functions that Konnector does not perform. External-storage and public-cloud storage integration are separate AHV, NCI or cloud-service capabilities.
The supplied answer D therefore requires correction to C.
NHCF/NCA reference: Nutanix tools, Kubernetes platform integration and centralized management; NCA Section 1, "Recognize the use cases and features of Nutanix tools." Official references: Nutanix Konnector
1.1 , Prism Central-Kubernetes Cluster Management .
NEW QUESTION # 36
Which Nutanix support case priority level is used for a non-critical loss of use with medium to low impact?
Answer: D
Explanation:
Nutanix classifies this condition as Priority 3, or P3. The official support definition describes P3 as a normal- priority case involving a minor inconvenience or an occasional, non-critical issue that requires resolution but has not materially reduced productivity. Its defining language includes: "A non-critical loss of use with medium to low impact." A short-term workaround is generally available.
P1 is reserved for emergency conditions in which production systems are unavailable or unusable, critical functionality is down, significant data loss is occurring or threatened, and no procedural workaround exists.
P2 applies when production remains available but experiences major degradation or the loss of important functionality, materially affecting part of the organization's operations. P4 covers low-impact informational requests, including questions about documentation, procedures, configuration, or account setup.
The scenario uses the defining P3 wording rather than merely describing a general support question. It therefore cannot be reduced to P4, while its non-critical and limited-impact characteristics exclude P1 and P2.
The correct priority is C. Reference: Nutanix Support Policies and Priority Definitions . NHCF alignment:
support-case creation, priority selection, and effective escalation practices.
NEW QUESTION # 37
An administrator is working with Nutanix Support and has been asked to submit the NCC logs for further review.
How should the administrator gather the logs for the support case?
Answer: C
Explanation:
The supported Prism Element workflow for gathering diagnostic data is the Collect Logs feature. From the Health dashboard, the administrator opens the Actions menu, selects Collect Logs, identifies the relevant nodes and components, specifies the required time range or collection parameters, and starts the log-collection task. The resulting archive can then be associated with or uploaded for the Nutanix Support case.
Pulse is a proactive support and telemetry capability that periodically provides diagnostic system information to Nutanix. It does not automatically transmit every detailed NCC or component log required for a specific investigation. Nutanix documentation notes that when Pulse data is insufficient for diagnosis, Support may request a separate diagnostic log collection.
"Export Logs" and "Download Logs in Prism Central" are not the documented names of the NCC collection workflow described in the question. The explicit Health dashboard operation is Collect Logs. This process also allows the administrator to control which nodes and components are included, preventing irrelevant data from unnecessarily enlarging the support bundle. Reference: Prism 7.5 - Collecting Logs Using Prism Element . NHCF alignment: collecting support data, using health functions, and collaborating with Nutanix Support.
NEW QUESTION # 38
During a routine cluster review, an administrator observes that an NCC check has returned the following status:
ERR: The plugin timed out
What does this status indicate about the health check?
Answer: B
Explanation:
An ERR status means that the NCC plugin failed to execute successfully. In this case, the plugin exceeded its allowed execution period and timed out. Because the check did not complete, NCC cannot determine whether the tested cluster component is healthy or unhealthy. Option C is therefore the accurate interpretation.
ERR must not be treated as equivalent to FAIL. A FAIL result indicates that the check executed and identified a condition that did not satisfy the required health criteria. By contrast, ERR describes a problem with the health-check execution itself. The administrator should review the accompanying message, verify the applicable services and connectivity, and rerun the check. Persistent execution errors may require collecting NCC logs or engaging Nutanix Support.
A warning or an unexpected but noncritical condition is represented differently. INFO supplies contextual information that does not constitute a failure, while WARN identifies a condition requiring review. The timeout result cannot validate the cluster's state, so the underlying area remains unconfirmed until the check completes successfully.
NHCF/NCA reference: Cluster Health-NCC result codes and health-check interpretation; NCA Section 4,
"Perform and interpret a health check." Official reference: Nutanix Cluster Check Guide .
NEW QUESTION # 39
Which product is best suited for building out and testing Large Language Models (LLMs) in a Nutanix environment?
Answer: C
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 # 40
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