100+ Free Nutanix NCP-AI Practice Questions
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Which Nutanix product provides managed inference endpoints for foundation models running on AHV or ESXi clusters?
Key Facts: Nutanix NCP-AI Exam
~75
Exam Questions
Nutanix
3000/6000
Passing Score
Nutanix
120 min
Exam Duration
Nutanix
$199
Exam Fee
Nutanix
60-100 hrs
Study Time
Recommended
2 years
Cert Valid
Nutanix
The NCP-AI exam has approximately 75 questions in 120 minutes with a 3000/6000 scaled passing score. It covers Nutanix Enterprise AI (NAI), NIM-based model serving, GPU passthrough and vGPU on AHV, NKP, Files/Objects/Volumes for AI data, RAG with vector databases, security, monitoring, and the LCM-driven lifecycle.
Sample Nutanix NCP-AI Practice Questions
Try these sample questions to test your Nutanix NCP-AI exam readiness. Each question includes a detailed explanation. Start the interactive quiz above for the full 100+ question experience with AI tutoring.
1Which Nutanix product provides managed inference endpoints for foundation models running on AHV or ESXi clusters?
2Which container runtime format does Nutanix Enterprise AI use to package and serve foundation models with GPU acceleration?
3Which Kubernetes distribution is the supported orchestration layer for Nutanix Enterprise AI workloads?
4Which two GPU technologies enable workloads on AHV to access NVIDIA accelerators? (Choose the BEST single answer.)
5Which Nutanix node families are typically certified to host H100, L40S, and A100 GPUs for AI workloads?
6An administrator must reserve specific GPU-equipped nodes exclusively for NAI inference pods. Which Kubernetes mechanism should they use?
7Which Nutanix data service is BEST suited for storing large training datasets accessed concurrently over NFS by multiple GPU nodes?
8Where does Nutanix recommend storing immutable model artifacts and checkpoints that must be retrieved by S3-compatible APIs?
9Which Nutanix storage service provides iSCSI block volumes ideal for hosting a high-performance vector database?
10Which open-source vector database is commonly deployed on Nutanix to power Retrieval Augmented Generation (RAG) pipelines?
About the Nutanix NCP-AI Exam
The Nutanix NCP-AI certification validates professional-level skills in deploying, securing, and operating Nutanix Enterprise AI (NAI) for foundation-model inference, including NIM containers, NVIDIA GPU integration on AHV, NKP, RAG architectures, vector databases, and lifecycle management with LCM.
Questions
75 scored questions
Time Limit
120 minutes
Passing Score
3000/6000 (scaled)
Exam Fee
$199 (Nutanix / Pearson VUE)
Nutanix NCP-AI Exam Content Outline
Nutanix Enterprise AI Platform
NAI architecture, NIM containers, model catalog (Llama, Mistral, Hugging Face), endpoints, OpenAI-compatible APIs
AI Infrastructure & GPU
AHV GPU passthrough, NVIDIA vGPU, NVAIE licensing, MIG, G8/G9 nodes with H100/L40S/A100, GPU scheduling, sizing
Data Services for AI
Nutanix Files (NFS datasets), Objects (S3 model artifacts), Volumes (vector DB block), CSI driver, NKP storage classes
Deployment & Lifecycle
LCM install/upgrade, NIM image import, endpoint creation, rolling upgrades, autoscaling, rollback, regression testing
Security & Multi-Tenancy
API keys, RBAC, tenants and namespaces, Flow microsegmentation, TLS, audit logging, prompt logging policy, quotas
Monitoring & Observability
Prism Central GPU dashboards, NCC checks, Prometheus/Grafana, latency metrics (TTFT, TPS), SIEM integration
RAG & Use Cases
Vector databases (Milvus, Weaviate, pgvector), embedding models, document Q&A, summarization, code-gen, chat assistants
How to Pass the Nutanix NCP-AI Exam
What You Need to Know
- Passing score: 3000/6000 (scaled)
- Exam length: 75 questions
- Time limit: 120 minutes
- Exam fee: $199
Keys to Passing
- Complete 500+ practice questions
- Score 80%+ consistently before scheduling
- Focus on highest-weighted sections
- Use our AI tutor for tough concepts
Nutanix NCP-AI Study Tips from Top Performers
Frequently Asked Questions
What is the NCP-AI passing score and format?
Nutanix uses a 3000 out of 6000 scaled score. The exam has approximately 75 multiple-choice questions delivered in a 2-hour window via Pearson VUE testing centers or online proctoring.
Do I need NCP-MCI before taking NCP-AI?
NCP-MCI is recommended but not strictly required. You should already understand AOS, AHV, Prism Central, and Nutanix Files/Objects basics before adding the NAI, NIM, and GPU-specific content of NCP-AI.
How long should I study?
Most candidates invest 60-100 hours over 6-10 weeks. Hands-on time with NAI, NIM endpoints, NKP, GPU-equipped nodes, and a RAG pipeline using Milvus or pgvector is essential.
What topics carry the most weight?
The NAI platform itself (NIM, model catalog, endpoints) and AI infrastructure (GPU passthrough, vGPU, NVAIE, sizing) together cover roughly 40% of questions, followed by data services, lifecycle, security, monitoring, and RAG.
Which GPUs and node families are emphasized?
Modern G8 and G9 Nutanix nodes hosting NVIDIA H100, L40S, and A100 GPUs, configured with NVIDIA AI Enterprise licensing for vGPU plus the NVIDIA GPU Operator on NKP worker nodes.
What is the certification validity period?
Nutanix professional certifications are valid for 2 years. Renewal is typically achieved by passing a current version of the exam or an upgrade exam before expiration.
How much does NCP-AI cost?
The exam fee is approximately US$199 through Pearson VUE. Retake fees match the original exam fee, and Nutanix may publish promotional vouchers periodically through Nutanix University.