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[General] Valid NCP-AII Exam Duration - New NCP-AII Test Questions

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【General】 Valid NCP-AII Exam Duration - New NCP-AII Test Questions

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NVIDIA AI Infrastructure Sample Questions (Q183-Q188):NEW QUESTION # 183
You are deploying a multi-node A1 training cluster using Kubernetes, with each node equipped with multiple NVIDIA GPUs. You want to ensure that the Kubernetes scheduler is aware of the GPU resources available on each node and can efficiently allocate GPU-enabled pods to the appropriate nodes. Besides installing the NVIDIA Container Toolkit, what other components are essential for enabling GPU-aware scheduling in Kubernetes?
  • A. The Kubernetes Horizontal Pod Autoscaler (HPA).
  • B. The NVIDIA GPU Operator.
  • C. The Kubernetes Resource Quota controller.
  • D. The NVIDIA Device Plugin for Kubernetes.
  • E. The NVIDIA Fabric Manager
Answer: B,D
Explanation:
The NVIDIA Device Plugin for Kubernetes (A) is essential for advertising the GPU resources to the Kubernetes scheduler. It allows Kubernetes to understand that GPUs are available and track their usage. The NVIDIA GPU Operator (C) simplifies the deployment and management of NVIDIA drivers and other components required for GPU support in Kubernetes, including the device plugin. The Resource Quota controller (B) is useful for limiting resource consumption but doesn't directly enable GPU-aware scheduling. HPA (D) is used for autoscaling based on CPU or memory utilization, not GPU utilization. Fabric Manager is for managing GPU interconnect and not related.

NEW QUESTION # 184
Consider a scenario where you need to isolate GPU workloads in a multi-tenant Kubernetes cluster. Which of the following Kubernetes constructs would be MOST suitable for achieving strong isolation at both the resource and network level?
  • A. Using labels and selectors to schedule workloads on specific GPU nodes.
  • B. Using node affinity only.
  • C. Using pod affinity and anti-affinity rules to control pod placement.
  • D. Using taints and tolerations to dedicate GPU nodes to specific workloads.
  • E. Using namespaces with resource quotas and network policies.
Answer: E
Explanation:
Namespaces provide logical isolation within a Kubernetes cluster. Resource quotas limit the resources (including GPIJs) that a namespace can consume, while network policies control network traffic between namespaces, ensuring strong isolation. Options B, C, D, and E provide some level of control over pod placement but do not offer the same level of resource and network isolation as namespaces with resource quotas and network policies.

NEW QUESTION # 185
After installing a new NVIDIA GPU in an AI server, you run 'nvidia-smi' and receive the error 'NVIDIA-SMI has failed because it couldn't communicate with the NVIDIA driver. Make sure that the latest NVIDIA driver is installed and running.' You have verified the driver is installed. What is the MOST likely cause?
  • A. The power supply is insufficient to power the GPU.
  • B. The wrong driver version is installed for the installed CUDA version.
  • C. The system BIOS needs to be updated.
  • D. The GPU is not properly seated in the PCIe slot.
  • E. The secure boot is enabled preventing the driver from initializing.
Answer: D
Explanation:
A poorly seated GPU often leads to communication failures between the driver and the card. While power, BIOS, and driver versions can be issues, a seating problem is the most common first suspect. Secure boot issues are also possible.

NEW QUESTION # 186
You are installing four NVIDIAAIOO GPUs into a server designed for AI training. The server motherboard has multiple PCIe Gen4 x16 slots. However, the server's power supply unit (PSU) only has three 8-pin PCIe power connectors available. What is the BEST course of action to ensure all GPUs receive adequate power?
  • A. Underclock the GPUs significantly to reduce their power consumption below the available PSU capacity.
  • B. Connect the GPUs using the motherboard's internal SATA power connectors.
  • C. Use a PCIe power splitter cable on one of the 8-pin connectors to power two GPUs.
  • D. Replace the existing PSU with a higher wattage PSU that has at least four 8-pin PCIe power connectors.
  • E. Install only three GPUs and leave the fourth unpowered.
Answer: D
Explanation:
Using a splitter can overload the original connector and cause instability or damage. Leaving a GPU unpowered defeats the purpose. SATA connectors are not designed for the high power requirements of GPUs. Underclocking might work, but is not a reliable long-term solution. Replacing the PSU is the safest and most reliable solution.

NEW QUESTION # 187
An AI server utilizes a QSFP28 transceiver with MPO connector. During troubleshooting, you suspect a faulty transceiver. Which steps are most important to perform when physically inspecting and testing the transceiver?
  • A. Check the transceiver's firmware version, measure the transceiver's temperature using an infrared thermometer, and perform a bit error rate test (BERT).
  • B. Examine the transceiver's EEPROM data, measure the supply voltage with a multimeter, and perform a link speed auto-negotiation test.
  • C. Visually inspect the connector for damage, clean the connector end-face with an appropriate fiber optic cleaning tool, and perform an Optical Time Domain Reflectometer (OTDR) test.
  • D. Verify the transceiver's DOM (Digital Optical Monitoring) information, clean the connector end-face with a dry cloth, and perform a ping test.
  • E. Visually inspect the connector for damage, clean the connector end-face with an appropriate fiber optic cleaning tool, and verify the transceiver's DOM (Digital Optical Monitoring) information, particularly TX power, RX power, and temperature.
Answer: E
Explanation:
The MOST important steps involve visual inspection for damage, cleaning the connector to ensure a good optical connection, and verifying DOM information to assess the transceivers health and signal levels. OTDR is more suited for cable diagnosis. While firmware and voltage are relevant, the DOM provides immediate health indicators.

NEW QUESTION # 188
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