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[General] New Reliable NCP-AII Cram Materials | Pass-Sure NCP-AII Latest Learning Material

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【General】 New Reliable NCP-AII Cram Materials | Pass-Sure NCP-AII Latest Learning Material

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NVIDIA AI Infrastructure Sample Questions (Q263-Q268):NEW QUESTION # 263
You're setting up a BlueField-3 DPIJ to offload storage virtualization tasks. Specifically, you want to use SPDK (Storage Performance Development Kit) on the DPIJ. What are the MINIMUM required steps to enable SPDK on the BlueField-3 after the DPIJ has been flashed with the appropriate OS image? (Select TWO)
  • A. Enable the SPDK service using 'systemctl enable spdK and 'systemctl start spdk'.
  • B. Download and compile the SPDK source code directly on the DPU.
  • C. Configure the Huge Pages settings in the DPU's kernel to allocate sufficient memory for SPDK.
  • D. Install the SPDK packages using the DPU's package manager (e.g., 'apt install spdk').
  • E. Configure the network interfaces on the DPIJ to support RDMA or NVMe-oF, depending on the desired storage protocol.
Answer: C,D
Explanation:
The minimum steps involve installing the SPDK packages using the DPU's package manager, assuming prebuilt packages are available, and configuring Huge Pages. SPDK relies heavily on Huge Pages for memory management. While configuring network interfaces and starting services are important, installing SPDK and configuring Huge Pages are required first steps. Downloading and compiling from source might be necessary in some cases but not minimally required if packages are available.

NEW QUESTION # 264
You are implementing a security policy on a BlueField-2 DPU to filter traffic based on specific application signatures. Which technology, supported by BlueField, allows you to achieve deep packet inspection (DPI) and apply security rules based on the detected application?
  • A. TC (Traffic Control) with 'iptables' rules.
  • B. IPsec (Internet Protocol Security) tunnels.
  • C. eBPF (extended Berkeley Packet Filter) with XDP (eXpress Data Path).
  • D. OVS (Open vSwitch) with OpenFlow rules.
  • E. Netfilter with connection tracking.
Answer: C
Explanation:
eBPF with XDP is the most suitable technology for deep packet inspection (DPI) on BlueField. It allows you to run custom code at near-line speed to inspect packets and apply security rules based on application signatures. TC and Netfilter are less efficient for DPI, OVS/OpenFlow are more for switching policies, and IPsec focuses on encryption.

NEW QUESTION # 265
You need to verify the integrity of the BlueField OS image before flashing it to the SmartNIC. Which method would provide the strongest guarantee that the image has not been tampered with?
  • A. Verifying the SHA256 checksum of the image against the published SHA256 checksum.
  • B. Downloading the image from a trusted source.
  • C. Comparing the image size with the expected size from the download source.
  • D. Checking the MD5 checksum of the image against the published MD5 checksum.
  • E. Utilizing gpg to verify the image.
Answer: A,E
Explanation:
SHA256 provides a stronger collision resistance than MD5, making it a more reliable method for verifying image integrity. Comparing the image size is not a reliable method, as a small change can be made without significantly altering the size. Downloading from a trusted source is important, but doesn't guarantee the image hasn't been tampered with after it was published. GPG provides cryptographic assurance that the file originated from and was signed by an identified party.

NEW QUESTION # 266
After upgrading the NGC CLI using 'pip install -upgrade nvidia-cli' , some commands are no longer working as expected, producing errors related to missing modules. What is the most likely reason for this issue and how can you resolve it?
  • A. The host's operating system must be re-imaged.
  • B. The upgrade process might have corrupted the NGC CLI installation. Reinstall the package using 'pip install -force-reinstall nvidia-cli'.
  • C. The Python environment used by the NGC CLI might be broken or inconsistent. Create a new virtual environment and reinstall the NGC CLI in the new environment.
  • D. The system's PATH variable has not been updated to reflect the new NGC CLI installation location. Update the PATH variable accordingly.
  • E. The NGC CLI upgrade introduced breaking changes. Review the NGC CLI release notes and update your scripts accordingly.
Answer: C,E
Explanation:
Breaking changes in the NGC CLI upgrade (B) are a possibility, requiring script updates. An inconsistent Python environment (C) can also cause issues after an upgrade. Reinstalling (A) or updating the PATH (D) might not resolve the issue if the environment itself is the problem. OS re-imaging is highly unnecessary (E).

NEW QUESTION # 267
Your deep learning training job that utilizes NCCL (NVIDIA Collective Communications Library) for multi-GPU communication is failing with "NCCL internal error, unhandled system error" after a recent CUDA update. The error occurs during the 'all reduce' operation.
What is the most likely root cause and how would you address it?
  • A. Faulty network cables used for inter-node communication (if the training job spans multiple servers). Replace the network cables with certified high-speed cables.
  • B. Insufficient shared memory allocated to the CUDA context. Increase the shared memory limit using 'cudaDeviceSetLimit(cudaLimitSharedMemory, new_limity.
  • C. Firewall rules blocking inter-GPU communication. Configure the firewall to allow communication on the NCCL-defined ports (typically 8000-8010).
  • D. Incompatible NCCL version with the new CUDA version. Update NCCL to a version compatible with the installed CUDA version.
  • E. GPU Direct RDMA is not properly configured. Check 'dmesg' for errors and ensure RDMA is enabled.
Answer: D
Explanation:
NCCL relies on specific CUDA versions. An incompatibility after a CUDA update is the most probable cause. Insufficient shared memory is less likely to cause a system error within NCCL. Firewall rules usually manifest as connection refused errors. Faulty network cables affect inter-node communication, not intra-node. While RDMA issues can cause problems, they typically don't present as 'unhandled system error' immediately after a CUDA update, and are more likely if RDMA was working previously.

NEW QUESTION # 268
......
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