Nutanix NCP-AI Certification Exam Sample Questions

NCP-AI Braindumps, NCP-AI Exam Dumps, NCP-AI Examcollection, NCP-AI Questions PDF, NCP-AI Sample Questions, Artificial Intelligence Dumps, Artificial Intelligence Official Cert Guide PDF, Artificial Intelligence VCE, Nutanix Artificial Intelligence PDFWe have prepared Nutanix Certified Professional - Artificial Intelligence (NCP-AI) certification sample questions to make you aware of actual exam properties. This sample question set provides you with information about the Artificial Intelligence exam pattern, question formate, a difficulty level of questions and time required to answer each question. To get familiar with Nutanix Certified Professional - Artificial Intelligence (NCP-AI) exam, we suggest you try our Sample Nutanix NCP-AI Certification Practice Exam in simulated Nutanix certification exam environment.

To test your knowledge and understanding of concepts with real-time scenario based Nutanix NCP-AI questions, we strongly recommend you to prepare and practice with Premium Nutanix Artificial Intelligence Certification Practice Exam. The premium Nutanix Artificial Intelligence certification practice exam helps you identify topics in which you are well prepared and topics in which you may need further training to achieving great score in actual Nutanix Certified Professional - Artificial Intelligence (NCP-AI) exam.

Nutanix NCP-AI Sample Questions:

01. A chat application sends the same question to a Text Generation endpoint several times and receives noticeably different wording each time. The product owner wants more consistent answers.
Which change to the request addresses this?
a) Raise presence_penalty in the request body
b) Send each request with a newly created API key
c) Lower the temperature value in the request body
d) Set n to 3 in the request body
 
02. A developer configures an OpenAI-compatible client for an NAI endpoint. Authentication succeeds, but the endpoint rejects each request with an error about the model named in the payload.
What should the developer check first?
a) The API key’s Active or Inactive status on the API Keys page
b) The model value and parameters in the payload, against the sample request
c) The Audit Events entries recorded for the endpoint
d) The Number of GPUs (Per Instance) configured for the endpoint
 
03. A developer is connecting an application to several NAI endpoints and must know whether each one serves a Text Generation, Embedding or Reranker model before choosing the request route.
Where in NAI can the developer read the model type that an endpoint serves?
(Choose two.)
a) The All Models filter on an Import Model page
b) The Model Type field in the endpoint's Details widget
c) The Inference Engine field in the endpoint's Details widget
d) The Model column on the Endpoints List page
 
04. A developer is validating an application’s connection to an NAI endpoint. The following tasks must be completed:
- Send a short prompt from the application to the chat completions route
- Open View Sample Request for the endpoint and copy the code
- Confirm the response contains generated text and the endpoint’s API request count rose
- Configure the application’s OpenAI-compatible client with the connection values from the sample
In which order should the tasks be performed?
a) 2, 4, 3, 1
b) 4, 2, 1, 3
c) 2, 4, 1, 3
d) 2, 1, 4, 3
 
05. A document-summarization application calls a Text Generation endpoint built from a pre-validated Hugging Face model. Short documents summarize correctly, but requests for long documents fail while the endpoint stays Active and other requests keep succeeding.
Which endpoint setting is the most likely cause?
a) Inference Engine
b) Number of Instances
c) API Keys
d) Maximum Number of Tokens
 
06. After an application goes live on an NAI endpoint, the operations team wants to review regularly whether the volume of API requests is growing week over week.
Which dashboard widget is designed for this?
a) Infrastructure Summary
b) API Requests Summary
c) Endpoints Summary
d) API Requests Trends
 
07. After NAI is installed on a Nutanix Kubernetes Platform (NKP) cluster, the Infrastructure Usage and Health page shows no CPU or memory usage for any node, while GPU metrics and endpoint request metrics appear normally.
Which prerequisite setting should the administrator check first?
a) That cert-manager issued the gateway certificate
b) That the DCGM exporter service monitor is enabled
c) That prometheus-node-exporter is enabled in kube-prometheus-stack
d) That the KServe controller is running in the cluster
 
08. An administrator wants to confirm from the command line that the running pods of one endpoint actually requested GPUs from Kubernetes.
Which check gives that confirmation?
a) Run kubectl get nodes and check that the GPU worker nodes report Ready
b) Run helm get values for nai-core and read the GPU settings in the output
c) Describe the nai-api pod in nai-system and check its resource limits for GPUs
d) Describe one of the endpoint's pods and check its resource limits for nvidia.com/gpu
 
09. During an air-gapped NAI installation, an engineer loads the Airgap Bundle and, to simplify maintenance, retags every image with one site-wide tag, prod, before pushing the images to the internal registry. The image tags in values.yaml are left as the template gives them.
After helm upgrade --install, the nai-system pods report ImagePullBackOff with a manifest-not-found error. What should the engineer correct?
a) Install the chart from the internal chart registry rather than a local directory
b) Push the images again with the same tag names they carry in the bundle
c) Load the Airgap Bundle on each Kubernetes node instead of on a workstation
d) Reset imagePullSecret.credentials.registry to https://index.docker.io/v1/
 
10. Users report errors across the Nutanix Enterprise AI UI after a node restart. The administrator wants to analyze the Kubernetes resources that run NAI itself.
Which approach is most appropriate first?
a) Check that every pod in nai-system is Running and Ready
b) Deactivate the API keys that applications are using
c) Re-import the pre-validated models from Hugging Face
d) Hibernate and resume every active endpoint in the cluster

Answers:

Question: 01
Answer: c
Question: 02
Answer: b
Question: 03
Answer: b, d
Question: 04
Answer: c
Question: 05
Answer: d
Question: 06
Answer: d
Question: 07
Answer: c
Question: 08
Answer: d
Question: 09
Answer: b
Question: 10
Answer: a

Note: Please update us by writing an email on feedback@vmexam.com for any error in Nutanix Certified Professional - Artificial Intelligence (NCP-AI) certification exam sample questions

Rating: 4.8 / 5 (110 votes)