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Nutanix NCP-AI Exam Syllabus Topics:

Topic	Details
Topic 1	Deploy a Nutanix Enterprise AI Environment: This domain covers initial deployment tasks including validating prerequisites, installing Enterprise AI components, and configuring DNS, URLs, and certificates for secure platform operation.
Topic 2	Perform Day 2 Operations: This domain addresses ongoing management including preparing application integration requirements, interpreting and optimizing performance metrics, monitoring access for anomalies, and selecting appropriate LLMs for optimal output.
Topic 3	Troubleshoot a Nutanix Enterprise AI Environment: This domain covers diagnosing and resolving performance issues, resource utilization problems, cluster health check failures, and model import or endpoint creation errors.
Topic 4	Connect Applications to a Nutanix Enterprise AI Environment: This domain focuses on configuring and validating application connections to endpoints and monitoring endpoint metrics to track application usage and integration performance.
Topic 5	Configure a Nutanix Enterprise AI Environment: This domain focuses on operational setup including onboarding users, importing large language models, creating and securing API endpoints with keys, and delivering these endpoints to consumers.

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Nutanix Certified Professional - Artificial Intelligence v6.10 Sample Questions (Q51-Q56):

NEW QUESTION # 51
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What does the View Sample Request link within the Endpoint List provide for administrators?

A. It contains the URL and API key to connect to the endpoint.
B. It only stores the URL required to access the endpoint.
C. It connects the endpoint to the Large Language Model.
D. It includes the instructions on how to delete the endpoint.

Answer: A

NEW QUESTION # 52
What should an administrator configure with a fully qualified domain name (FQDN) on the DNS domain that is accessible to a Kubernetes cluster?

A. Kserve
B. Istio
C. Kube-api
D. Knative-serving

Answer: B

NEW QUESTION # 53
What is the correct endpoint PATH that is displayed in the NAI Dashboard?

A. /api/v1/chat/endpoints
B. /api/v2/chat/completions
C. /api/chat
D. /api/v1/chat/completions

Answer: D

NEW QUESTION # 54
Immediately after installing NAI, an administrator must verify that every pod in the namespace nai-system is in a ready state using the command kubectl get pods -n nai-system.
Which ready value would indicate a pod is highly available and healthy?

A. 1/2
B. 2/2
C. 1/1
D. 2/1

Answer: B

NEW QUESTION # 55
An administrator is monitoring the performance of a deployed Large Language Model within the Nutanix Enterprise AI platform. After initial deployment, users report slow inference response times and occasional timeouts when accessing the model through its API endpoint.
The administrator reviews the performance metrics available in the NAI Dashboard and notes the following:
CPU usage is consistently high across all inference-serving containers.
Memory utilization is nearing the allocated limits for the model service.
The request latency graph shows increasing average inference times during peak usage.
Which action should the administrator take to improve performance and reduce latency?

A. Increase the number of API keys assigned to the endpoint to allow more concurrent access.
B. Disable logging temporarily to reduce resource consumption during peak load periods.
C. Scale out the number of instances and allocate additional CPU and memory resources.
D. Restart the model container to clear memory cache and allow the system to rebalance performance.

Answer: C

NEW QUESTION # 56
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