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Nutanix NCP-AI 시험요강:

주제	소개
주제 1	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.
주제 2	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.
주제 3	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.
주제 4	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.
주제 5	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.

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최신 Nutanix Certified Professional (NCP) NCP-AI 무료샘플문제 (Q28-Q33):

질문 # 28
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An Accounting Department is thrilled with the RAG Application that the Application & Data Science Teams recently rolled out. However, they provided some feedback that sometimes (approximately 20% of the time), the documents retrieved are not relevant to their prompts or are too generiC.
During development, there was extensive testing between models to make sure the best possible model was selecteD. The Accounting Department emphasizes that when the responses use the right documents, the results are very good and they are pleased with the completeness, accuracy, and coherence of those responses.
What would be a way to address the irrelevant RAG results without having to rebuild the entire workflow?

A. Replace the embedding model with a larger, more general-purpose language model to improve document retrieval.
B. Fine-tune the Large Language Model on a broader dataset to enable it to generate more relevant responses.
C. Implement a rerank model as a post retrieval step to re-order initially retrieved documents based on query-document relevance.
D. Significantly expand the document knowledge base by ingesting a much larger volume of financial reports.

정답：C

질문 # 29
An administrator is deploying a customer support chatbot that needs to integrate with a large language model hosted in the Nutanix Enterprise AI platform. The goal is to enable real-time inference while following best practices for security and scalability.
Which action should the administrator perform to meet these requirements?

A. Register the chatbot application in Prism Central and map it to the deployed model through application profiles.
B. Configure a firewall exception using Nutanix Flow and force restricted access from the chatbot subnet to the AI model.
C. Create an API endpoint in the NAI Dashboard and generate an API key to assign to the endpoint for secure access.
D. Enable access to the model through SSH and use raw socket communication between the chatbot and model service.

정답：C

질문 # 30
What happens if an API key is lost after closing the creation dialog?

A. A new one must be generated for the endpoint.
B. The key can be retrieved from the NAI DashboarD.
C. Nutanix Support can be contacted to recover it.
D. It can be reset from the Endpoint page.

정답：A

질문 # 31
Which deployment type of Nutanix Enterprise AI is supported in Amazon EKS?

A. Cloud Cluster
B. Standalone
C. Bare Metal
D. GPT-in-a-Box 2.0

정답：A

질문 # 32
An administrator is integrating an application with an endpoint and finds that the application is experiencing high latency.
What action should the administrator take to ensure the lowest latency when creating endpoints?

A. Increase the cache expiration time.
B. Reduce the payload size limit.
C. Increase the timeout value on the endpoints.
D. Increase the number of endpoint instances.

정답：D

질문 # 33
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