HIGH PASS-RATE NCP-AIN LATEST TEST ONLINE & ACCURATE NCP-AIN LATEST CRAM MATERIALS: NVIDIA-CERTIFIED PROFESSIONAL AI NETWORKING

High Pass-Rate NCP-AIN Latest Test Online & Accurate NCP-AIN Latest Cram Materials: NVIDIA-Certified Professional AI Networking

High Pass-Rate NCP-AIN Latest Test Online & Accurate NCP-AIN Latest Cram Materials: NVIDIA-Certified Professional AI Networking

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NVIDIA NCP-AIN Exam Syllabus Topics:

TopicDetails
Topic 1
  • InfiniBand Configuration, Optimization, Security, and Troubleshooting: This section of the exam measures skills of Data Center Network Administrators and covers the configuration and operational maintenance of NVIDIA InfiniBand switches. It includes setting up InfiniBand fabrics for multi-tenant environments, managing subnet configurations, testing connectivity, and using UFM to troubleshoot and analyze issues. It also focuses on validating rail-optimized topologies for optimal network performance.
Topic 2
  • Spectrum-X Configuration, Optimization, Security, and Troubleshooting: This section of the exam measures skills of Network Performance Engineers and covers configuring, managing, and securing NVIDIA Spectrum-X switches. It includes setting performance baselines, resolving performance issues, and using diagnostic tools such as CloudAI benchmark, NCCL, and NetQ. It also emphasizes leveraging DPUs for network acceleration and using monitoring tools like Grafana and SNMP for telemetry analysis.
Topic 3
  • Architecture: This section of the exam measures skills of AI Infrastructure Architects and covers the ability to distinguish between AI factory and AI data center architectures. It includes understanding how Ethernet and InfiniBand differ in performance and application, and identifying the right storage options based on speed, scalability, and cost to fit AI networking needs.

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NVIDIA-Certified Professional AI Networking Sample Questions (Q36-Q41):

NEW QUESTION # 36
How is congestion evaluated in an NVIDIA Spectrum-X system?

  • A. By measuring the number of connected devices in the network.
  • B. By monitoring the CPU and power usage of network devices.
  • C. By analyzing the egress queue loads ensuring all ports are well-balanced.
  • D. By assessing the physical distance between network devices.

Answer: C

Explanation:
In NVIDIA Spectrum-X, congestion is evaluated based on egress queue loads. Spectrum-4 switches assess the load on each egress queue and select the port with the minimal load for packet transmission. This approach ensures that all ports are well-balanced, optimizing network performance and minimizing congestion.


NEW QUESTION # 37
When utilizing the ib_write_bw tool for performance testing, what does the -S flag define?

  • A. The burst size
  • B. The maximum rate of sent packages
  • C. The number of QP's
  • D. Which service level to use

Answer: D

Explanation:
FromNVIDIA Performance Tuning Guide (ib_write_bw Tool Usage):
"-S <SL>: Specifies the Service Level (SL) to use for the InfiniBand traffic. SL is used for setting priority and mapping to virtual lanes (VLs) on the IB fabric." This flag is useful when testing QoS-aware setups or validating SL/VL mappings.
Incorrect Options:
* A- No such flag for burst size.
* B- -q defines number of QPs.
* C- --rate or -R is used for rate-limiting.
Reference: NVIDIA InfiniBand Performance Guide - ib_write_bw Options Section


NEW QUESTION # 38
You are troubleshooting a Spectrum-X network and need to ensure that the network remains operational in case of a link failure. Which feature of Spectrum-X ensures that the fabric continues to deliver high performance even if there is a link failure?

  • A. RoCE Adaptive Routing
  • B. RoCE Congestion Control
  • C. NVIDIA NetQ
  • D. RoCE Performance Isolation

Answer: A

Explanation:
RoCE Adaptive Routing is a key feature of NVIDIA Spectrum-X that ensures high performance and resiliency in the network, even in the event of a link failure. This technology dynamically reroutes traffic to the least congested and operational paths, effectively mitigating the impact of link failures. By continuously evaluating the network's egress queue loads and receiving status notifications from neighboring switches, Spectrum-X can adaptively select optimal paths for data transmission. This ensures that the network maintains high throughput and low latency, crucial for AI workloads, even when certain links are down.
Reference Extracts from NVIDIA Documentation:
* "Spectrum-X employs global adaptive routing to quickly reroute traffic during link failures, minimizing disruptions and preserving optimal storage fabric utilization."
* "RoCE Adaptive Routing avoids congestion by dynamically routing large AI flows away from congestion points. This approach improves network resource utilization, leaf/spine efficiency, and performance."


NEW QUESTION # 39
Which of the following statements are true about AI workloads and adaptive routing?
Pick the 2 correct responses below.

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

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 # 40
Why is the InfiniBand LRH called a local header?

  • A. It provides the LIDs from the local subnet manager.
  • B. It allows traffic on a local link only.
  • C. It is used for routing traffic between nodes in the local subnet.
  • D. It provides the parameters for each local HCA.

Answer: C

Explanation:
TheLocal Route Header (LRH)in InfiniBand is termed "local" because it is used exclusively for routing packets within a single subnet. The LRH contains the destination and source Local Identifiers (LIDs), which are unique within a subnet, facilitating efficient routing without the need for global addressing. This design optimizes performance and simplifies routing within localized network segments.
InfiniBand is a high-performance, low-latency interconnect technology widely used in AI and HPC data centers, supported by NVIDIA's Quantum InfiniBand switches and adapters. The Local Routing Header (LRH) is a critical component of the InfiniBand packet structure, used to facilitate routing within an InfiniBand fabric. The question asks why the LRH is called a "local header," which relates to its role in the InfiniBand network architecture.
According to NVIDIA's official InfiniBand documentation, the LRH is termed "'local' because it contains the addressing information necessary for routing packets between nodes within the same InfiniBand subnet." The LRH includes fields such as the Source Local Identifier (SLID) and Destination Local Identifier (DLID), which are assigned by the subnet manager to identify the source and destination endpoints within the local subnet. These identifiers enable switches to forward packets efficiently within the subnet without requiring global routing information, distinguishing the LRH from the Global Routing Header (GRH), which is used for inter-subnet routing.
Exact Extract from NVIDIA Documentation:
"The Local Routing Header (LRH) is used for routing InfiniBand packets within a single subnet. It contains the Source LID (SLID) and Destination LID (DLID), which are assigned by the subnet manager to identify the source and destination nodes in the local subnet. The LRH is called a 'local header' because it facilitates intra-subnet routing, enabling switches to forward packets based on LID-based forwarding tables."
-NVIDIA InfiniBand Architecture Guide
This extract confirms that option A is the correct answer, as the LRH's primary function is to route traffic between nodes within the local subnet, leveraging LID-based addressing. The term "local" reflects its scope, which is limited to a single InfiniBand subnet managed by a subnet manager.
Reference:LRH and GRH InfiniBand Headers - NVIDIA Enterprise Support Portal


NEW QUESTION # 41
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