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| Certification Vendor: | NVIDIA |
|---|---|
| Exam Name: | NVIDIA-Certified Professional AI Networking |
| Exam Number: | NCP-AIN |
| Exam Format: | Multiple-select, Multiple-choice |
| Passing Score: | Not publicly specified by NVIDIA |
| Exam Price: | USD 235 |
| Exam Duration: | 90 minutes |
| Real Exam Qty: | 60 |
| Certificate Validity Period: | 2 years |
| Available Languages: | English |
| Related Certifications: | NVIDIA Certified Professional AI Networking |
| Sample Questions: | NVIDIA NCP-AIN Sample Questions |
| Exam Way: | Available both online (proctored) and at Pearson VUE test centers |
| Pre Condition: | Candidates should have experience with networking fundamentals and AI/ML infrastructure. Recommended to have completed NVIDIA AI Networking training courses. |
| Official Syllabus URL: | https://www.nvidia.com/en-us/training/certification/ncp-ain/ |
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NEW QUESTION # 54
A high-performance InfiniBand fabric requires a routing engine that maximizes throughput and network utilization while reducing congestion. Which option below is the best routing engine for InfiniBand?
Answer: A
Explanation:
Adaptive Routingin InfiniBand networks dynamically selects the optimal path for data packets based on current network conditions, such as congestion levels and link utilization. This approach ensures that traffic is evenly distributed across the network, preventing bottlenecks and maximizing overall throughput.
By continuously monitoring the network and adjusting routes in real-time, Adaptive Routing enhances performance and reliability, making it the preferred choice for high-performance computing environments where consistent low latency and high bandwidth are critical.
NEW QUESTION # 55
You are automating the deployment of a Spectrum-X network using Ansible. You need to ensure that the playbooks can handle different switch models and configurations efficiently. Which feature of the NVIDIA NVUE Collection helps simplify the automation by providing pre-built roles for common network configurations?
Answer: A
Explanation:
The NVIDIA NVUE Collection for Ansible includes pre-built roles designed to streamline automation tasks across various switch models and configurations. These roles encapsulate common network configurations, allowing for efficient and consistent deployment.
By utilizing these roles, network administrators can:
Apply standardized configurations across different devices. Reduce the complexity of playbooks by reusing modular components. Ensure consistency and compliance with organizational policies.
This approach aligns with Ansible best practices, promoting maintainability and scalability in network automation.
NEW QUESTION # 56
What command sequence is used to identify the exact name of the server that runs as the master SM in a multi-node fabric?
Answer: A
Explanation:
To identify the activeSubnet Manager (SM)node in an InfiniBand fabric, the correct command sequence is:
* sminfo
* Displays general information about the active SM in the fabric, including itsLID.
* smpquery ND <LID>
* Resolves theNode Description (ND)at the given LID, revealing the exact hostname or label of the SM server.
From the InfiniBand Tools Guide:
"The sminfo utility provides the LID of the master SM. Use smpquery ND <LID> to resolve the node name hosting the SM." This two-step approach is standard for locating and validating the SM identity in fabric diagnostics.
Incorrect Options:
* B (Nl)is an invalid query type.
* CandDdo not identify SMs.
Reference: InfiniBand SM Tools - sminfo & smpquery Usage
NEW QUESTION # 57
What does NVIDIA's GPU-accelerated networking primarily enable in AI/ML environments?
Answer: C
Explanation:
GPU-accelerated networking optimizes data movement across GPUs and other devices, ensuring that AI models are trained and deployed with minimal latency and maximum throughput.
NEW QUESTION # 58
A financial services company is planning to implement an AI infrastructure to support real-time fraud detection and risk assessment. They need a solution that can handle both training and inference workloads while maintaining data privacy and security.
Which NVIDIA reference architecture component would be most appropriate to address the data privacy and security concerns in this AI networking setup?
Answer: D
Explanation:
NVIDIA BlueField Data Processing Units (DPUs)are integral to securing AI infrastructures, especially in environments requiring stringent data privacy and security measures. BlueField DPUs offload and accelerate critical infrastructure tasks such as encryption, firewall enforcement, and intrusion detection, thereby isolating sensitive data paths from potential threats.
In the context of AI workloads, BlueField DPUs enable secure and efficient data movement between GPUs and storage systems, ensuring that sensitive information, like financial data, is protected during both training and inference processes. Their integration into NVIDIA's reference architectures provides a hardware root of trust, essential for maintaining data integrity and compliance with security standards.
Reference:NVIDIA BlueField Networking Platform
NEW QUESTION # 59
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