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NEW QUESTION # 13
You are managing a large InfiniBand fabric for an AI research cluster. You need to implement a solution that can proactively detect potential network issues and optimize performance.
Which feature of NVIDIA's Unified Fabric Manager (UFM) is specifically designed to use AI-powered analytics for detecting security threats and predicting network failures in InfiniBand data centers?
Answer: C
Explanation:
Comprehensive and Detailed 150 to 250 words of Explanation From NVIDIA AI Networking Topics:
The correct answer is A. Cyber-AI platform . NVIDIA's official UFM Cyber-AI documentation states that the UFM Cyber-AI platform determines a data center's unique "vital signs" and uses them to identify performance degradation, component failures, and abnormal usage patterns . This directly matches the requirement for proactive detection of issues in a large InfiniBand fabric. NVIDIA also documents that Cyber- AI provides Link Anomaly detection and Link Failure Prediction , where machine learning models analyze monitoring information and predict future link failures 1 to 24 hours in advance . In addition, NVIDIA's Cyber-AI materials describe integration with AI cybersecurity capabilities to help detect and mitigate security threats , which makes Cyber-AI the only option in this list that combines predictive analytics with security- oriented intelligence. By contrast, UFM Telemetry focuses on collecting and presenting real-time network data such as bandwidth, congestion, latency, and errors, while UFM Enterprise is the broader management platform and Host Agent is not the AI analytics engine for predictive failure and threat detection. Therefore, for AI-driven analytics, predictive maintenance, anomaly detection, and security-focused analysis in InfiniBand environments, Cyber-AI platform is the verified NVIDIA answer.
NEW QUESTION # 14
Your organization is planning to utilize Ethernet for an upcoming AI project. Spectrum-X is the selected platform for this deployment, and Adaptive Routing is a key feature. What are the requirements included in the Spectrum-X RA for adaptive routing?
Answer: C
Explanation:
The NVIDIA Spectrum-X Reference Architecture (RA) 1.0.1 is designed for Ethernet AI cloud deployments and includes the SN5600 Spectrum-4 switches and BlueField-3 SuperNICs. This architecture supports adaptive routing and DOCA programmable congestion control (PCC) for lossless RoCE traffic, optimizing performance for AI workloads.
The SN5600 switch offers 64 ports of 800GbE in a dense 2U form factor, providing high throughput and low latency essential for AI applications.
NEW QUESTION # 15
Which of the following NVIDIA products is best suited for high-performance computing and AI workloads that require fast inter-node communication?
Answer: D
Explanation:
Mellanox InfiniBand provides high-throughput, low-latency interconnects for high-performance computing (HPC) clusters, making it ideal for AI workloads that require efficient inter-node communication.
NEW QUESTION # 16
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: C
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.
NEW QUESTION # 17
Which of the following NCCL environment variables enable SHARP aggregation with NCCL when using the NCCL-SHARP plugin?
Pick the 2 correct responses below
Answer: C,D
Explanation:
To enable SHARP (Scalable Hierarchical Aggregation and Reduction Protocol) aggregation using theNCCL- SHARP plugin, the following two environment variables are required:
* NCCL_COLLNET_ENABLE=1
Enables NCCL's support for CollNet (Collective Network) operations, including SHARP.
* NCCL_SHARP_AUTOINIT=1
Automatically initializes the SHARP plugin when available, activating SHARP-based collectives.
From theNVIDIA NCCL User Guide - SHARP Plugin Section:
"NCCL_COLLNET_ENABLE must be set to enable collective network acceleration features."
"NCCL_SHARP_AUTOINIT enables automatic SHARP plugin integration at NCCL runtime." Incorrect Options:
* B. NCCL_ALGO=CollNet- This variable controls the algorithm used for collectives but does not enable SHARP.
* C. NCCLSPECTRUM_ENABLE- This is not a documented NCCL variable.
Reference: NCCL SHARP Plugin Guide & NCCL User Guide - Environment Variables Section
NEW QUESTION # 18
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