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[General] New NCP-AIN Real Exam & NCP-AIN Advanced Testing Engine

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【General】 New NCP-AIN Real Exam & NCP-AIN Advanced Testing Engine

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NVIDIA-Certified Professional AI Networking Sample Questions (Q15-Q20):NEW QUESTION # 15
What is the total throughput of the SN5600 Spectrum-X switch?
  • A. 102.4 gigabits per second
  • B. 51.2 terabits per second
  • C. 12.8 petabits per second
  • D. 25.6 terabits per second
Answer: B
Explanation:
The SN5600 smart-leaf/spine/super-spine switch offers 64 ports of 800GbE in a dense 2U form factor. The SN5600 offers diverse connectivity in combinations of 1 to 800GbE and boasts an industry-leading total throughput of 51.2Tb/s.
Reference:NVIDIA Spectrum SN5600 Ethernet Switch - Bluum

NEW QUESTION # 16
Which of the following NCCL environment variables enable SHARP aggregation with NCCL when using the NCCL-SHARP plugin?
Pick the 2 correct responses below
  • A. NCCL_SHARP_AUTOINIT
  • B. NCCL_COLLNET_ENABLE=1
  • C. NCCLSPECTRUM_ENABLE=1
  • D. NCCL_ALGO=CollNet
Answer: A,B
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 # 17
Which of the following tools in Cumulus Linux is specifically useful for detecting and differentiating microbursts from regular network congestion?
Pick the 2 correct responses below
  • A. ASIC monitoring with millisecond-level granularity
  • B. Monthly network utilization reports
  • C. What Just Happened (WJH) feature for packet drop analysis
  • D. SNMP polling at 5-minute intervals
Answer: A,C
Explanation:
In Cumulus Linux, microbursts are short-lived, high-volume traffic bursts that often go undetected by coarse- grained monitoring like SNMP.
The two tools specifically used for this purpose are:
* What Just Happened (WJH)
"WJH provides real-time packet drop visibility and classifies drops by reason (e.g., congestion, ACLs, etc.), enabling microburst detection."
* ASIC monitoring at millisecond granularity
"Deep telemetry is enabled via the switch ASIC, which provides sub-second counters that capture microburst patterns otherwise missed by SNMP." Incorrect Options:
* AandCprovide low-frequency sampling, insufficient for microbursts which last milliseconds.
Reference: NVIDIA NetQ & Cumulus Linux Documentation - What Just Happened (WJH)

NEW QUESTION # 18
You have recently implemented NVIDIA Spectrum-X in your data center to optimize AI workloads. You need to verify the performance improvements and create a baseline for future comparisons.
Which tool would be most appropriate for creating performance baseline results in this Spectrum-X environment?
  • A. NetQ
  • B. Ansible
  • C. CloudAI Benchmark
  • D. MLNX-OS
Answer: C
Explanation:
TheCloudAI Benchmarkis designed to evaluate and establish performance baselines in AI-optimized networking environments like NVIDIA Spectrum-X. It assesses various performance metrics, including throughput and latency, ensuring that the network meets the demands of AI workloads. This benchmarking is essential for validating the benefits of Spectrum-X and for ongoing performance monitoring.
Reference:NVIDIA Spectrum-X Validated Solution Stack

NEW QUESTION # 19
You are using NVIDIA Air to simulate a Spectrum-X network for AI workloads. You want to ensure that your network configurations are optimal before deployment.
Which NVIDIA tool can be integrated with Air to validate network configurations in the digital twin environment?
  • A. NetQ
  • B. Spectrum-X Manager
  • C. DOCA
  • D. GPU Cloud
Answer: A
Explanation:
NVIDIA NetQ is a highly scalable network operations toolset that provides visibility, troubleshooting, and validation of networks in real-time. It delivers actionable insights and operational intelligence about the health of data center networks-from the container or host all the way to the switch and port-enabling a NetDevOps approach.
NetQ can be used as the functional test platform for the network CI/CD in conjunction with NVIDIA Air.
Customers benefit from testing the new configuration with NetQ in the NVIDIA Air environment ("digital twin") and fix errors before deploying to their production.

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