CERTIFIED NCP-AIN QUESTIONS | NCP-AIN PASSING SCORE

Certified NCP-AIN Questions | NCP-AIN Passing Score

Certified NCP-AIN Questions | NCP-AIN Passing Score

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Tags: Certified NCP-AIN Questions, NCP-AIN Passing Score, Valid Test NCP-AIN Experience, NCP-AIN Hot Spot Questions, NCP-AIN Positive Feedback

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NVIDIA-Certified Professional AI Networking Sample Questions (Q19-Q24):

NEW QUESTION # 19
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?

  • A. Round Robin Routing
  • B. Adaptive Routing
  • C. Random Routing
  • D. Shortest Path Routing

Answer: B

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.
Reference:NVIDIA InfiniBand Adaptive Routing Technology Whitepaper


NEW QUESTION # 20
You are troubleshooting connectivity issues in your InfiniBand network and need to test basic connectivity between nodes. Which command should you use to test basic connectivity between InfiniBand nodes?

  • A. ping
  • B. traceroute
  • C. ibping
  • D. ibnetdiscover

Answer: C

Explanation:
The tool specifically designed for testingInfiniBand connectivityis **ibping**. It functions similarly to the traditional ping utility but is optimized forInfiniBand fabrics.
From theNVIDIA InfiniBand Diagnostic Utilities Documentation:
"ibping tests the connectivity of InfiniBand nodes by sending management datagrams (MADs) and verifying the response from the destination LID or GUID."
* Tests basicnode-to-nodereachability
* Supports testing viaLID, GUID, orport number
* Helps verify subnet manager routing and fabric health
Incorrect Options:
* pingandtracerouteare IP-based, not fabric-aware.
* ibnetdiscovermaps topology but doesn't test live connectivity.
Reference: InfiniBand Diagnostic Tools - ibping


NEW QUESTION # 21
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. GPU Cloud
  • B. Spectrum-X Manager
  • C. NetQ
  • D. DOCA

Answer: C

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.


NEW QUESTION # 22
Which of the following statements are true about AI workloads and adaptive routing?
Pick the 2 correct responses below.

  • A. ECMP-based load balancing works best for AI workloads.
  • B. Flow-based load balancing mechanisms increase congestion risk.
  • C. AI workloads are made of a small number of volumetric flows called elephant flows.
  • D. AI workloads have very high entropy that helps spread traffic evenly without congestion.

Answer: B,C

Explanation:
AI workloads, particularly in large-scale training scenarios, are characterized by a small number of high- bandwidth, long-lived flows known as "elephant flows." These flows can dominate network traffic and are prone to causing congestion if not managed effectively.
Traditional flow-based load balancing mechanisms, such as Equal-Cost Multipath (ECMP), distribute traffic based on flow hashes. However, in AI workloads with lowentropy (i.e., limited variability in flow characteristics), ECMP can lead to uneven traffic distribution and congestion on certain paths.
Adaptive routing techniques, which dynamically adjust paths based on real-time network conditions, are more effective in managing AI traffic patterns and mitigating congestion risks.
Reference:Powering Next-Generation AI Networking with NVIDIA SuperNICs


NEW QUESTION # 23
Which of the following routing protocols is not capable of avoiding credit loops?

  • A. MINHOP
  • B. FAT TREE
  • C. All routing protocols are capable of avoiding credit loops
  • D. UPDOWN

Answer: A

Explanation:
TheMINHOProuting protocol, while efficient in finding minimal paths, does not inherently prevent credit loops. This can lead to deadlocks in the network. In contrast, routing protocols like UPDOWN and FAT TREE are designed to avoid such loops, ensuring more reliable network operation.
Reference:Optimized Routing for Large-Scale InfiniBand Networks


NEW QUESTION # 24
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