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NEW QUESTION # 31
When using GPUDirect RDMA for inter-GPU communication, what component MUST be supported by the network interface card (NIC) to ensure optimal performance?
Answer: C
Explanation:
GPUDirect RDMA requires RDMA support on the NIC. RDMA enables direct memory access between GPUs without CPU intervention, significantly reducing latency and improving bandwidth. While other features like TOE, QOS, flow control, and Jumbo Frames can contribute to overall network performance, they are not fundamental requirements for GPUDirect RDMA to function.
NEW QUESTION # 32
You're using Docker Swarm to orchestrate a cluster of machines, some with GPUs and some without. You want to deploy a containerized AI application that requires GPUs, ensuring it only runs on nodes with GPUs available. How do you achieve this?
Answer: A,C
Explanation:
Docker Swarm (and Compose in deploy mode) supports node constraints, allowing you to target deployments to nodes with specific labels (like "nvidia.gpu=present). Setting labels on the Swarm nodes is required first. Environment variable checks (C) are less reliable. Manual scheduling (D) defeats the purpose of orchestration. Separate images (E) are unnecessary with proper constraint usage.
NEW QUESTION # 33
You are observing intermittent failures in your NVSHMEM application, and you suspect memory corruption. What is a good first step to debug this issue using NVSHMEM's debugging tools?
Answer: E
Explanation:
Setting enables detailed memory allocation and deallocation tracing within NVSHMEM, which can help identify memory corruption issues. NCCL DEBUG is for NCCL issues, not NVSHMEM. Scuda-memcheck' is a good general tool for CUDA memory errors, but 'NVSHMEM_DEBUG' is more specific to NVSHMEM's managed memory. 'valgrind' is a general-purpose memory debugger, but NVSHMEM's built-in tracing is usually more effective for NVSHMEM-specific problems. The 'ulimit' value affects resource limits, but it doesn't directly help debug memory corruption.
NEW QUESTION # 34
When configuring a DOCA application that utilizes shared memory between the host and the DPU, which DOCA service is typically employed to facilitate this communication, and what are its benefits?
Answer: C
Explanation:
DOCA Memory Domain (MD) allows creating shared memory regions accessible to both the host and the DPU, which greatly simplifies data sharing and synchronization. DMA enables direct memory transfers, but MD provides a managed, unified memory space.
NEW QUESTION # 35
You are deploying a stateful application to your Kubernetes cluster running on NVIDIA hardware provisioned through BCM. This application requires direct access to a persistent volume on a high-performance NVMe drive. Which of the following methods is MOST appropriate for providing this access while ensuring high performance and data consistency?
Answer: A
Explanation:
Local Persistent Volumes with 'WaitForFirstConsumer' and node affinity are designed for scenarios requiring direct access to local storage like NVMe drives. This approach provides the best performance and data consistency compared to network-based solutions like NFS or cloud-based block storage, or shared storage solutions such as Ceph. 'hostPath' is discouraged for production use because it bypasses Kubernetes volume management. Local PV ensures the PVC is bound to PV at time of first use rather than during cluster set up.
NEW QUESTION # 36
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