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NVIDIA NCP-AIN Exam Syllabus Topics:

Topic	Details
Topic 1	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.
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	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.

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NVIDIA-Certified Professional AI Networking Sample Questions (Q42-Q47):

NEW QUESTION # 42
You are setting up PKey memberships for different tenants in an InfiniBand network. You want to ensure that some tenants have limited communication capabilities. Which PKey membership type allows members to communicate with full members but not with other members of the same type?

A. Full membership
B. Limited/partial membership
C. Isolated membership
D. Restricted membership

Answer: B

Explanation:
In InfiniBand networks,P_Keys (Partition Keys)control communication boundaries. Each port can belong to one or more partitions with eitherfullorlimitedmembership.
From NVIDIA InfiniBand Documentation (Partitioning and P_Keys):
"A limited (or partial) membership permits a port to communicate only with other ports in the same partition that have full membership. It cannot communicate with other limited members, even if they are in the same P_Key partition." This makes limited/partial membership ideal formulti-tenant security, where tenant ports can reach infrastructure ports (full members) butnotother tenant ports (limited members).
Incorrect Options:
* A & Bare not valid InfiniBand P_Key types.
* C (Full membership)allows unrestricted communication within the same partition.
Reference: NVIDIA InfiniBand Guide - PKey Partitioning and Membership Types

NEW QUESTION # 43
You need to configure a bond in Cumulus Linux. Which command should you use?

A. nv set interface bond1 bond member swp1-4
B. nv set bondbond1 interface member swp1-4
C. nv set interface bond1 bond mode lacp
D. nv set interface bond1 bond mlag enable

Answer: C

Explanation:
In Cumulus Linux, configuring a bond interface with Link Aggregation Control Protocol (LACP) involves setting the bond mode to 'lacp'. The correct command to achieve this is:
nv set interface bond1 bond mode lacp
This command sets the bonding mode of 'bond1' to LACP, enabling dynamic link aggregation for increased bandwidth and redundancy.
Reference Extracts from NVIDIA Documentation:
* "To reset the link aggregation mode for bond1 to the default value of 802.3ad, run the nv set interface bond1 bond mode lacp command."

NEW QUESTION # 44
A major cloud provider is designing a new data center to support large-scale AI workloads, particularly for training large language models. They want to optimize their network architecture for maximum performance and efficiency.
Why is a rail-optimized topology considered a best practice for AI network architecture in this scenario?

A. It prioritizes north-south traffic over east-west traffic for better internet connectivity.
B. It maximizes the number of network hops to increase data redundancy.
C. It simplifies network management by using a single large switch for all connections.
D. It provides optimal GPU-to-GPU communication and reduces network interference between flows.

Answer: D

Explanation:
A rail-optimized topology is designed to enhance GPU-to-GPU communication by connecting each GPU's Network Interface Card (NIC) to a dedicated rail switch. This configuration ensures predictable traffic patterns and minimizes network interference between data flows, which is crucial for the performance of large-scale AI workloads, such as training large language models. By reducing contention and latency, this topology supports efficient and scalable AI training environments.
Reference Extracts from NVIDIA Documentation:
* "Rail-optimized network topology helps maximize all-reduce performance while minimizing network interference between flows."
* "A Rail Optimized Stripe Architecture provides efficient data transfer between GPUs, especially during computationally intensive tasks such as AI Large Language Models (LLM) training workloads, where seamless data transfer is necessary to complete the tasks within a reasonable timeframe."

NEW QUESTION # 45
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 # 46
You are optimizing an InfiniBand network for AI workloads that require low-latency and high-throughput data transfers. Which feature of InfiniBand networks minimizes CPU overhead during data transfers?

A. SHARP
B. TCP/IP Offloading
C. PKey
D. Direct Memory Access (DMA)

Answer: D

Explanation:
Direct Memory Access (DMA) in InfiniBand networks allows data to be transferred directly between the memory of two devices without involving the CPU. This capability significantly reduces CPU overhead, lowers latency, and increases throughput, making it ideal for AI workloads that demand efficient data transfers.

NEW QUESTION # 47
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