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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Deployment and Configuration | 25-30% | - Network configuration - System installation and setup - Cluster configuration - Software deployment |
| Topic 2: Security and Best Practices | 10-15% | - Compliance considerations - Security fundamentals - Operational best practices |
| Topic 3: Monitoring and Management | 15-20% | - Troubleshooting basics - Resource utilization - Performance monitoring - NVIDIA management tools |
| Topic 4: AI Infrastructure Fundamentals | 15-20% | - NVIDIA software stack overview - Data center infrastructure requirements - AI and Deep Learning concepts - GPU architecture basics |
| Topic 5: NVIDIA AI Infrastructure Components | 25-30% | - NVIDIA DGX systems - Storage solutions for AI workloads - NVIDIA AI Enterprise software - NVIDIA networking solutions (Mellanox) |
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NEW QUESTION # 104
During multi-node HPL burn-in, GPUs show uneven utilization. Which configuration ensures balanced workload distribution?
Answer: C
Explanation:
Uneven GPU utilization in a multi-node cluster is a classic symptom ofPCIe/NUMA imbalance. In a DGX H100, each set of GPUs is physically closer to a specific CPU socket and a specific set of high-speed NICs. If the workload (HPL) is launched without strict affinity, an MPI rank running on a CPU core attached to Socket
0 might attempt to control a GPU attached to Socket 1. This forces data to cross the inter-processor links (UPI
/QPI), which have significantly higher latency and lower bandwidth than a direct PCIe path. This
"bottlenecking" causes some GPUs to wait for data longer than others, leading to the uneven utilization observed. The verified solution is to use an orchestration script or flags that enforceAffinity. By setting --gpu- affinity and --cpu-affinity, the administrator ensures that each GPU is managed by a CPU core on its local NUMA node. This alignment minimizes latency and ensures that every GPU in the cluster receives data at the same rate, resulting in the flat, high-utilization profile required for a successful HPL burn-in record.
NEW QUESTION # 105
Which of the following commands correctly configures the NGC CLI to use a specific API key stored in an environment variable named 'NGC API KEY'?
Answer: C
Explanation:
The 'ngc config set' command uses '-apikey' to specify the API key directly. The correct syntax is 'ngc config set - to ensure the environment variable is properly expanded and passed as a string.
NEW QUESTION # 106
A cluster administrator is preparing to update the firmware on a DGX H100 system, including the GPU tray (baseboard). What is the correct sequence of steps to perform a safe and successful firmware upgrade?
Answer: D
NEW QUESTION # 107
You are a network administrator responsible for configuring an East-West (E/W) Spectrum-X fabric using SuperNIC. The Bluefield-3 devices in your network should be set to NIC mode with RoCE enabled to optimize data flow between servers. You have access to the Spectrum-X management tools and the necessary documentation. You need to use specific configuration commands to achieve this setup. Which of the following steps and commands are necessary to configure the Bluefield-3 devices in NIC mode for the E/W Spectrum-X fabric using SuperNIC? (Pick the 2 correct responses below)
Answer: A,B
Explanation:
NVIDIA Spectrum-X is the world's first high-performance Ethernet fabric designed specifically for AI, combining Spectrum-4 switches with BlueField-3 SuperNICs. To achieve the high-throughput, low-latency requirements of East-West (server-to-server) AI traffic, the BlueField-3 hardware must be correctly provisioned. The first requirement is ensuring the physical ports are operating in Ethernet mode; LINK_TYPE_P1=2 (and P2=2 for the second port) toggles the hardware from InfiniBand to Ethernet mode.
Secondly, the BlueField-3 can operate in several "modes." While "DPU mode" (Option D) offloads the entire OS to the ARM cores, "NIC mode" (or SuperNIC mode) allows the host to manage the networking while leveraging theInternal CPU Offload Engine. Setting INTERNAL_CPU_OFFLOAD_ENGINE=1 is a specific configuration step for Spectrum-X that allows the SuperNIC to handle RoCE (RDMA over Converged Ethernet) and Congestion Control (CC) algorithms more efficiently at 400G speeds. This setup is vital for AI workloads like LLM training, where consistent latency and zero-packet-loss are non-negotiable for collective communications.
NEW QUESTION # 108
What is the primary purpose of running a NCCL burn-in test on a new GPU cluster?
Answer: B
Explanation:
NCCL burn-in stresses GPU-to-GPU communication paths across NVLink, PCIe, and the network fabric. Its main purpose is to expose hardware, cabling, fabric, GPUDirect RDMA, or interconnect stability issues before the cluster is released for production workloads.
NEW QUESTION # 109
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