NVIDIA NCP-AII EXAM STUDY SOLUTIONS | NCP-AII PDF CRAM EXAM

NVIDIA NCP-AII Exam Study Solutions | NCP-AII PDF Cram Exam

NVIDIA NCP-AII Exam Study Solutions | NCP-AII PDF Cram Exam

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Tags: NCP-AII Exam Study Solutions, NCP-AII PDF Cram Exam, Test NCP-AII Cram Pdf, Formal NCP-AII Test, NCP-AII Sample Questions Answers

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NVIDIA AI Infrastructure Sample Questions (Q28-Q33):

NEW QUESTION # 28
You need to remotely monitor the GPU temperature and utilization of a server without installing any additional software on the server itself. Assuming you have network access to the server's BMC (Baseboard Management Controller), which protocol and standard data format would BEST facilitate this?

  • A. IPMI (Intelligent Platform Management Interface) with SDR (Sensor Data Records)
  • B. SNMP (Simple Network Management Protocol) with MIB (Management Information Base)
  • C. SSH with plain text output from 'nvidia-smi'
  • D. Syslog with CSV (Comma-separated Values)
  • E. HTTP with JSON

Answer: A

Explanation:
IPMI is a standard interface for out-of-band server management, commonly used for monitoring hardware sensors like temperature and utilization. BMCs typically support IPMI. SDRs are the data format used by IPMI for sensor data. SNMP is also an option, but IPMI is more directly tied to hardware monitoring. The rest are less efficient or require additional software installation.


NEW QUESTION # 29
You are configuring a switch port connected to a host in an NCP-AII environment. The host is running RoCEv2. To optimize performance and prevent packet loss, which flow control mechanism should you enable on the switch port?

  • A. Simple Network Management Protocol (SNMP).
  • B. Spanning Tree Protocol (STP).
  • C. TCP flow control.
  • D. None; flow control is not needed with RoCEv2.
  • E. Priority Flow Control (PFC) or 802.1 Qbb, specifically for the traffic class associated with RoCEv2.

Answer: E

Explanation:
Priority Flow Control (PFC), also known as 802.1Qbb, is the appropriate flow control mechanism for RoCEv2. RoCEv2 is a lossless Ethernet protocol, and PFC allows you to enable flow control on specific traffic classes, preventing packet loss in congested situations. By enabling PFC specifically for the traffic class carrying RoCEv2 traffic, you ensure that high-priority A1 training data is delivered reliably without being affected by congestion on other parts of the network.


NEW QUESTION # 30
You are configuring an NVIDIA BlueField-3 DPLJ to offload network processing. The DPIJ is connected to a server via PCle Gen5. Which cable type is essential for connecting the DPIJ to a 200GbE switch, ensuring optimal performance and signal integrity, and which describes its use?

  • A. Single-mode fiber optic cable; Used for long-distance connections where electrical interference is a concern.
  • B. Active Optical Cable (AOC); Best for long-distance connections exceeding 10 meters in data centers.
  • C. Passive Copper Cable; Cost-effective for very short reach connections within the same rack.
  • D. Active Copper Cable (ACC); Suitable for mid-range connections with improved signal quality compared to passive copper.
  • E. Direct Attach Copper (DAC) cable; Ideal for short-range, high-bandwidth connections between devices in close proximity.

Answer: E

Explanation:
Direct Attach Copper (DAC) cables are the best choice for short-range, high-bandwidth connections like those between a DPIJ and a switch within the same rack. They offer a balance of cost and performance, while maintaining signal integrity. AOCs are for longer reach, while passive copper cables are for very short distances.


NEW QUESTION # 31
You are using the NVIDIA Container Toolkit in a Kubernetes environment with multiple GPUs per node. You want to ensure that pods can request specific GPUs on a node, rather than simply requesting 'any' GPU. Which Kubernetes feature, in conjunction with the NVIDIA Device Plugin, allows you to achieve this fine-grained GPU resource allocation?

  • A. Resource Quotas
  • B. Node Affinity
  • C. Device Plugins API
  • D. Taints and Tolerations
  • E. Topology Manager

Answer: E

Explanation:
The Kubernetes Topology Manager (C) allows you to align resource allocations (including GPIJs) with specific NIJMA nodes. This is critical for performance when dealing with multiple GPUs per node. Resource Quotas (A) limit resource usage but don't control specific GPU selection. Node Affinity (B) selects nodes based on labels, not specific GPUs. The Device Plugins API (D) enables GPIJ discovery, but the Topology Manager is needed for fine-grained allocation within a node. Taints and Tolerations (E) are used to prevent pods from being scheduled on certain nodes unless they have the corresponding toleration, and does not directly allow for the selection of a particular GPU.


NEW QUESTION # 32
When deploying a BlueField DPIJ in an inline security appliance role, which networking configuration is MOST efficient and provides the lowest latency for inspecting all traffic passing through the server?

  • A. Implement a hairpin configuration where traffic is sent to the DPIJ and then looped back to the same physical interface after inspection.
  • B. Utilize a switchdev-based configuration where the DPIJ directly programs the switch ASIC to steer traffic.
  • C. Configure the BlueField as a router, performing Layer 3 forwarding between subnets.
  • D. Use SR-IOV to create Virtual Functions (VFs) for both the host and the DPIJ, and then route traffic between them.
  • E. Configure the BlueField as a traditional bridge, forwarding traffic between two physical interfaces.

Answer: B

Explanation:
A switchdev-based configuration offers the lowest latency because the DPIJ directly programs the switch ASIC. This allows for hardware-accelerated traffic steering and inspection without the overhead of traditional bridging or routing. Hairpinning introduces unnecessary latency, while SR-IOV and bridging add software processing overhead.


NEW QUESTION # 33
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