Nutanix NCP-AI Practice Exam Questions & Answers
5 Free Questions
· Last reviewed: September 8, 2026
· Prepared & Reviewed by the ValidExamDumps Editorial Team
Exam Facts
Nutanix NCP-AI Exam Details
Key details for this exam, checked against the published exam outline
75
Practice Questions (Our Bank)
120 minutes
Exam Duration
70%
Passing Score
USD 165
Exam Fee (United States)
- Exam Code
- NCP-AI
- Full Name
- Nutanix Certified Professional - Artificial Intelligence v6.10
- Issuing Body
- Nutanix
- Question Format (Our Bank)
- Multiple Choice
- Delivery
- Online proctored or at a PSI testing center
- Eligibility
- At least three years of virtual infrastructure experience, one year of experience with cloud native technologies and Linux command-line interface (CLI), foundational knowledge of virtual machines, hypervisors, and virtual networking, knowledge of NCI clou
- Validity
- 3 years
Practice Questions
Free NCP-AI Practice Questions
Each question shows the correct answer and an explanation of why it is right
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Every question and its answer is checked by our NCP-AI exam
preparation team, who also write the explanation shown with each one.
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When licensing Nutanix Enterprise AI, which license is required to create an inference endpoint?
Correct Answer:
A
Explanation
Google pre-validates LLMs to run with minimal GPU resources, requiring just a single GPU for basic deployment. This question tests knowledge of deployment prerequisites and system requirements before installation. Understanding the minimum GPU requirement helps administrators size their infrastructure correctly during the planning phase of a Nutanix Enterprise AI environment.
An administrator is configuring a new endpoint in Nutanix Enterprise AI (NAI) using an NVIDIA NIM model. During the configuration, the administrator notices that the Use GPU checkbox is selected and cannot be modifieD.
What is the reason the checkbox is locked in this state?
Correct Answer:
D
Explanation
GKE environments handle GPU driver installation automatically as part of their managed service. Administrators should skip manual NVIDIA driver installation to avoid conflicts with GKE's built-in GPU support. Installing drivers manually would create redundancy and potential compatibility issues that contradict the platform's design. This is a critical deployment prerequisite that candidates need to understand.
Which deployment type of Nutanix Enterprise AI is supported in Amazon EKS?
Correct Answer:
B
Explanation
Deactivating API keys one at a time allows the administrator to isolate which application is responsible for the traffic spike. When you turn off a key and request volume drops, you've identified the culprit. This methodical approach to troubleshooting is part of day 2 operations monitoring and usage analysis. Other options like checking logs or metrics would be less direct for pinpointing a specific application.
Which endpoint attribute displays the number and name of the GPUs per instance?
Correct Answer:
A
Explanation
Container registries must use HTTPS with valid certificates for secure deployments. Disabling HTTP eliminates unencrypted communication paths. Replacing the self-signed certificate with a trusted one ensures proper certificate validation during the deployment process. These are non-negotiable deployment prerequisites that prevent security gaps and installation failures in a production environment.
In a new instance of Nutanix Enterprise AI, what task must be completed to create an API key?
Correct Answer:
D
Explanation
The endpoint is functioning correctly, so the issue is not with Nutanix Enterprise AI itself but with the LLM's fit for the task. Different models excel at different tasks based on their training data and design. Consulting Hugging Face documentation helps the team understand what the model was built for, its limitations, and whether it's appropriate for customer service. This may reveal they need a different model better suited to their use case.
Domain 1: Deploy a Nutanix Enterprise AI Environment
Validate installation prerequisites and verify system requirements before deployment. Install Nutanix Enterprise AI components including container runtimes and Kubernetes distributions. Configure DNS, establish and manage SSL/TLS certificates, and set up application URLs to ensure secure and reliable access to the AI platform.
Sample questions from this domain above:
Q1Q2Q4
Domain 2: Configure a Nutanix Enterprise AI Environment
Onboard users to Nutanix Enterprise AI with appropriate role-based access. Import Large Language Models and manage their availability within the system. Create API endpoints for application integration and generate secure API keys for endpoint authentication and access control.
Domain 3: Perform Day 2 Operations
Prepare infrastructure and networking requirements for application connectivity. Review performance metrics and make optimization decisions based on resource utilization and response times. Monitor access logs and usage patterns to identify anomalies and select appropriate models to improve output quality.
Sample question from this domain above:
Q3
Domain 4: Troubleshoot a Nutanix Enterprise AI Environment
Identify and resolve performance bottlenecks and resource contention issues. Run and interpret health checks to identify cluster problems and apply appropriate remediations. Address failures during model import and endpoint creation by analyzing logs and error messages.
Domain 5: Connect Applications to a Nutanix Enterprise AI Environment
Configure applications to communicate with Nutanix Enterprise AI endpoints using appropriate authentication and network settings. Validate endpoint functionality and monitor metrics that correspond to application requests and usage patterns.
Sample question from this domain above:
Q5
FAQ
NCP-AI Exam FAQ
Common questions about the exam itself
What background and experience do I need to take the NCP-AI exam?
You need at least three years of virtual infrastructure experience and one year working with cloud native technologies and Linux command-line tools. You should also have foundational knowledge of virtual machines, hypervisors, virtual networking, GPUs, and Kubernetes at a CKA certification level.
What does the NCP-AI exam actually test?
The exam measures your ability to install, configure, optimize, and troubleshoot Nutanix Enterprise AI, as well as integrate generative AI applications and agents with the platform. You will be tested on deployment, configuration, operations, troubleshooting, and application integration.
How is the NCP-AI exam delivered?
You can take the exam remotely with online proctoring or in person at a PSI testing center. Scheduling opened on November 11, 2025.
Which objective area in NCP-AI is most challenging for candidates?
Troubleshooting Nutanix Enterprise AI environments tends to be difficult because it requires understanding both the platform architecture and how to interpret performance data and logs to diagnose complex issues. Hands-on lab experience with actual troubleshooting scenarios is essential preparation for this domain.
How long should I prepare for the NCP-AI exam?
Most candidates benefit from three to four months of focused study combining hands-on experience with Nutanix Enterprise AI, completion of the official Nutanix Enterprise AI Administration course, and regular practice with exam-style questions. Your preparation timeline depends on your existing Kubernetes and cloud infrastructure background.
What does exam day look like for NCP-AI?
If taking the exam remotely, you must use a secure browser and ensure your test environment meets PSI requirements including camera, microphone, and clear desk space. At a testing center, you will follow standard proctoring procedures. Be prepared to verify your identity and check in before the exam begins.
Can I retake the NCP-AI exam if I fail?
Nutanix follows standard industry retake policies through PSI. Most vendors allow retakes after a waiting period. Check the PSI or Nutanix website for current retake scheduling rules and any applicable fees at the time you attempt the exam.
How long is the NCP-AI certification valid?
Nutanix certifications typically maintain a validity period, though the specific duration for NCP-AI should be confirmed on the official exam page or with Nutanix directly as this information may not be publicly listed.
What job roles are best suited for the NCP-AI certification?
The NCP-AI certification is ideal for IT administrators, AI and machine learning administrators, platform engineers, and DevOps professionals who deploy and manage enterprise AI solutions on Nutanix infrastructure. It validates expertise needed for roles managing production AI workloads.
How does NCP-AI relate to other Nutanix certifications?
NCP-AI is part of the Nutanix Certified Professional track alongside NCP-MCI, NCP-EUC, and others. It is specialized for AI platform management, while NCP-MCI covers broader infrastructure management. You may pursue both certifications to demonstrate comprehensive infrastructure and AI platform expertise.
