RELIABLE NCP-AIN EXAM CRAM, RELIABLE NCP-AIN EXAM VCE

Reliable NCP-AIN Exam Cram, Reliable NCP-AIN Exam Vce

Reliable NCP-AIN Exam Cram, Reliable NCP-AIN Exam Vce

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One of the key factors for passing the exam is practice. Candidates must use NCP-AIN practice test material to be able to perform at their best on the real exam. This is why ExamPrepAway has developed three formats to assist candidates in their NCP-AIN Preparation. These formats include desktop-based NCP-AIN practice test software, web-based practice test, and a PDF format.

NVIDIA NCP-AIN Exam Syllabus Topics:

TopicDetails
Topic 1
  • 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 2
  • 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 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 (Q67-Q72):

NEW QUESTION # 67
What are the necessary steps to upgrade the MLNX-OS on InfiniBand Switches?

  • A. Restart the switches, connect to the switches using Telnet, and use the 'update' command to perform the upgrade.
  • B. Remove the switches from the switch fabric, fetch the MLNX-OS software image, and use the 'upgrade' command to perform the upgrade.
  • C. Power off the switches, insert the installation media, and power on the switches to start the upgrade process.
  • D. Connect to the switches using SSH, fetch the MLNX-OS software image, and use the 'install' command to perform the upgrade.

Answer: D

Explanation:
To upgrade the MLNX-OS on InfiniBand switches, the recommended procedure is as follows:
* Connect to the switch via SSH: Establish a secure shell connection to the switch using its management IP address.
* Fetch the MLNX-OS software image: Obtain the appropriate MLNX-OS software image from the official source or repository.
* Use the 'install' command to perform the upgrade: Execute the 'install' command on the switch to initiate the upgrade process with the fetched software image.
This method ensures a smooth and efficient upgrade without the need for physical intervention or service disruption.
Reference Extracts from NVIDIA Documentation:
* "Click on Systems # MLNX-OS Upgrade. Select the desired upgrade method (e.g. 'Install from local file'). Select your image and click 'Install Image'."


NEW QUESTION # 68
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. MLNX-OS
  • C. Ansible
  • D. CloudAI Benchmark

Answer: D

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 # 69
You are tasked with configuring multi-tenancy using partition key (PKey) for a high-performance storage fabric running on InfiniBand. Each tenant's GPU server is allowed to access the shared storage system but cannot communicate with another tenant's GPU server.
Which of the following partition key membership configurations would you implement to set up multi- tenancy in this environment?

  • A. Assign limited membership to both GPU servers and storage system.
  • B. Assign full membership to both GPU servers and storage system.
  • C. Assign limited membership PKey to the shared storage system and full membership PKey to each tenant's GPU servers.
  • D. Assign full membership PKey to the shared storage system and limited membership PKey to each tenant's GPU servers.

Answer: D

Explanation:
To enforce strictmulti-tenancy, where:
* Tenant A's GPUcannot talk toTenant B's GPU
* But both can accessshared storage
The correct solution is:
* Storage system # Full PKey membership
* Each tenant's GPU # Limited PKey membership
From theNVIDIA InfiniBand P_Key Partitioning Guide:
"A port with limited membership can only communicate with full members of the same PKey. It cannot communicate with other limited members, even within the same partition." This isolates tenantsfrom each other, while allowingshared access to storage.
Incorrect Options:
* Apermits tenant-to-tenant communication.
* Bisolates everything, including access to storage.
* Cprevents GPU access to storage.
Reference: NVIDIA InfiniBand - Multi-Tenant PKey Partitioning Design


NEW QUESTION # 70
How is congestion evaluated in an NVIDIA Spectrum-X system?

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

Answer: D

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 # 71
What are the prerequisites for performing Flow Analysis with NetQ?

  • A. Cumulus 5.x and later / Spectrum-3 and later / On-premises deployment
  • B. Cumulus 4.x and later / Spectrum-2 and later / LCM enabled
  • C. Cumulus 5.x and later / Spectrum-2 and later / LCM enabled
  • D. Cumulus 5.x and later / Spectrum-2 and later / On-premises deployment

Answer: C

Explanation:
To perform Flow Analysis with NetQ, the following prerequisites must be met:
* Cumulus Linux Version: NetQ Flow Analysis requires Cumulus Linux 5.x or later.
* Switch Hardware: The feature is supported on Spectrum-2 and later switch models.
* Lifecycle Management (LCM): LCM must be enabled to utilize Flow Analysis capabilities.
These requirements ensure compatibility and proper functioning of the Flow Analysis feature within NetQ.
Reference: NVIDIA NetQ Documentation - Flow Analysis Prerequisites


NEW QUESTION # 72
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