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Exam NCP-AII Papers, NCP-AII Test Lab Questions

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NVIDIA AI Infrastructure Sample Questions (Q199-Q204):

NEW QUESTION # 199
After deploying BlueField OS, you notice that the network interfaces are not automatically configured with IP addresses. Which of the following actions would be the MOST appropriate first step to troubleshoot this issue?

A. Check the DHCP client configuration to ensure it is enabled and properly configured to request IP addresses. Examine the logs for any errors.
B. Restart the networking service using 'systemctl restart networking'.
C. Reinstall the Mellanox OFED drivers. A corrupted driver installation could cause network configuration issues.
D. Re-flash the Bluefield OS image
E. Manually assign static IP addresses to the interfaces using the 'ifconfig' command.

Answer: A

Explanation:
In most modern systems, network interfaces are automatically configured using DHCP. Therefore, the first step is to check if the DHCP client is enabled and configured correctly. If DHCP fails, then other troubleshooting steps, such as static IP assignment or driver reinstallation, can be considered.

NEW QUESTION # 200
You are tasked with setting up a secure environment for running GPU-accelerated machine learning workloads in Docker containers.
The security requirements dictate that containers should have minimal privileges and access only the necessary resources. Which of the following security measures are most relevant when using NVIDIA GPUs with Docker?

A. Regularly scan Docker images for vulnerabilities using tools like Clair or Trivy and rebuild images with patched dependencies.
B. Use AppArmor or SELinux profiles to restrict the capabilities of the Docker containers, limiting their access to system resources.
C. Grant the Docker containers direct access to the host's hardware devices, including the GPU, to maximize performance.
D. Implement network segmentation and firewalls to isolate the Docker containers from other services and the internet.
E. Run the Docker daemon in rootless mode to reduce the risk of privilege escalation.

Answer: A,B,D,E

Explanation:
Security is paramount, and minimizing privileges is key. Running Docker in rootless mode (A) reduces the attack surface. AppArmor/SELinux (B) confines container capabilities. Regular vulnerability scanning (C) helps prevent attacks based on known weaknesses. Network segmentation (E) limits the impact of a compromised container. Granting direct hardware access (D) increases the risk of privilege escalation and should be avoided in a secure environment. The NVIDIA Container Toolkit facilitates GPU access without requiring direct device passthrough, adhering to principle of least privilege.

NEW QUESTION # 201
An A1 inferencing server, using NVIDIA Triton Inference Server, experiences intermittent crashes under peak load. The logs reveal CUDA out-of-memory errors (00M) despite sufficient system RAM. You suspect a GPU memory leak within one of the models. Which strategy BEST addresses this issue?

A. Reduce the batch size and concurrency of the offending model in the Triton configuration.
B. Increase the system RAM to accommodate the growing memory footprint.
C. Implement CUDA memory pooling within the Triton Inference Server configuration to reuse memory allocations efficiently.
D. Upgrade the GPUs to models with larger memory capacity.
E. Disable other models running on the same GPU to free up memory.

Answer: A,C

Explanation:
Options B and C directly address the 00M issue. CUDA memory pooling enables efficient reuse of GPU memory, minimizing allocations and deallocations. Reducing batch size and concurrency decreases the memory footprint of the model, alleviating the pressure on GPU memory. While upgrading GPUs (D) is a solution, it is more costly than optimizing the current configuration. Increasing system RAM (A) does not solve GPU memory issues. Disabling other models (E) reduces load but doesn't address the core problem of the memory leak in the first place.

NEW QUESTION # 202
A server with 8 NVIDIAAIOO GPUs is experiencing an unexpected shutdown under heavy load. The IPMI logs show a 'Power Supply Deasserted' event immediately preceding the shutdown. After replacing the PSU, the issue persists. What is the MOST likely cause of the continued shutdowns?

A. Overcurrent protection (OCP) tripping due to excessive inrush current during GPU startup.
B. Incompatible GPU driver version.
C. Insufficient system memory (RAM).
D. Network congestion causing system instability.
E. A faulty CMOS battery.

Answer: A

Explanation:
The 'Power Supply Deasserted' event, even after replacing the PSIJ, strongly suggests that overcurrent protection (OCP) is being triggered. OCP is a safety mechanism that shuts down the PSU if it detects excessive current draw. This is particularly likely with multiple high- power GPUs, as the inrush current during startup can momentarily exceed the PSU's capacity. A driver issue or insufficient memory is less likely to cause this specific event.

NEW QUESTION # 203
You encounter an error during MIG instance creation using 'nvidia-smi' stating 'Insufficient GPU resources'. Which of the following could be the cause? (Select all that apply)

A. The NVIDIA driver version is outdated and does not support the requested MIG configuration.
B. There is no error; MIG always creates instances regardless of resources.
C. The requested MIG configuration exceeds the GPU's available resources (e.g., compute or memory).
D. The GPU is already fully utilized by other MIG instances or processes.
E. The GPIJ is in a bad state and needs to be reset.

Answer: A,C,D

Explanation:
The 'Insufficient GPIJ resources' error indicates that the requested MIG instance creation cannot be fulfilled due to limitations in available resources (A) such as compute or memory. Outdated drivers (B) may not support the requested MIG configurations and hence can lead to resource management problems. When other instances or processes already consume all available resources (C), the operation can't continue. A GPU in a bad state might cause issues, but the specific error message points to resource exhaustion more directly. MIG does not bypass resource checks (E).

NEW QUESTION # 204
......

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Sean Young Sean Young

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