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| Topic | Details |
|---|
| Topic 1 | - 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.
|
| Topic 2 | - 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.
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| Topic 3 | - 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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| Topic 4 | - 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.
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| Topic 5 | - 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.
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Nutanix Certified Professional - Artificial Intelligence v6.10 Sample Questions (Q28-Q33):
NEW QUESTION # 28
An administrator has installed and deployed NAI, but the UI is not launching.
Which command should the administrator use to ensure that all pods are successfully deployed?
- A. kubectl get pods -n nai-system
- B. kubectl get pods -n knative-serving
- C. kubectl get pods -n kube-system
- D. kubectl get pods -n ntnx-base
Answer: A
NEW QUESTION # 29
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?
Answer: B
NEW QUESTION # 30
A development team is building a new AI-powered customer service chatbot. They have successfully integrated an LLM from Hugging Face into their application via a Nutanix Enterprise AI (NAI) endpoint. The NAI administrator has confirmed the endpoint is in the 'Active' state, and internal sample requests run from the NAI Endpoint section return an 'accurate' response and 'Succeeded' status.
However, the developers report that the chatbot frequently provides vague or irrelevant answers to user queries, leading to low customer satisfaction scores. They describe the LLM's performance for this specific chatbot task as "suboptimal." What should the administrator advise the developers to do next to improve the quality of the LLM's responses for the customer service chatbot task?
- A. Consult the Hugging Face documentation for the specific LLM to review its training data, intended use cases, and capabilities.
- B. Reseed the initial dataset and reimport the existing LLM within Nutanix Enterprise AI without implementing a RAG platform.
- C. Instruct the administrator to check the Kubernetes pod logs for the endpoint to identify any CRASHLOOPBACKOFF or OOMKilled errors that might be affecting model inference.
- D. Increase the number of instances for the NAI endpoint to enhance performance and reduce latency.
Answer: A
NEW QUESTION # 31
An AI/ML administrator has received a message from the cloud platform operations team who manage the underlying compute infrastructure that there may be a resource consumption issue impacting the workloaD.
The AI/ML administrator isn't aware of any problems reported from the consumers of the Nutanix Enterprise AI system but has noted that additional workloads were placed on the platform recently, as well as the introduction of GPUs.
With the cloud platform team reporting a resource consumption issue, and the consumers of the service not reporting any issues, what steps should the AI/ML administrator take?
- A. Ask the Cloud Platform Operations Team to scale the Kubernetes Cluster worker nodes up/out.
- B. Ask the Cloud Platform Operations Team to add additional CPUs to the Nutanix Enterprise AI Servers.
- C. Review the Cluster & Node Usage to identify if a specific resource is being exhausted and increase it.
- D. Increase the Endpoint instances for all of the configured Endpoints on the Nutanix Enterprise AI platform.
Answer: C
NEW QUESTION # 32
Nutanix AI officially supports which two LLM packaging formats? (Choose two.)
- A. NVIDIA NIM
- B. ONNX
- C. OLLAMA
- D. Hugging Face
Answer: A,D
NEW QUESTION # 33
......
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