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| Section | Weight | Objectives |
|---|
| Troubleshoot and Optimize | 12% | - Fault detection and remediation
- 1. Replacement of faulty hardware components
- 2. GPU, fan, network card fault identification
- Performance optimization
- 1. Server performance tuning (Intel/AMD platforms)
- 2. Storage optimization
|
| Control Plane Installation and Configuration | 19% | - Infrastructure software stack deployment
- 1. Operating system installation
- 2. Base Command Manager (BCM) installation and HA configuration
- 3. Cluster setup (Slurm, Enroot, Pyxis)
- GPU utilization in containers
- 1. Docker GPU usage validation
- Drivers and toolkits
- 1. NVIDIA GPU and DOCA drivers installation/update
- 2. NVIDIA container toolkit installation
- 3. NGC CLI deployment
|
| System and Server Bring-up | 31% | - Physical infrastructure validation
- 1. Power and cooling validation
- 2. Cable and transceiver types validation
- 3. Storage parameter initialization
- Deployment and validation lifecycle
- 1. Sequence of deployment and validation events
- 2. Network topologies for AI factories
- Hardware initialization and configuration
- 1. BMC, OOB, and TPM initial configuration
- 2. GPU server installation and validation
- 3. Firmware upgrades including HGX and fault detection
- 4. Hardware validation for workloads
|
| Physical Layer Management | 5% | - Networking and GPU partitioning
- 1. BlueField network platform configuration
- 2. MIG (Multi-Instance GPU) configuration
|
| Cluster Test and Verification | 33% | - Network and hardware validation
- 1. Firmware validation (switches, transceivers, BlueField)
- 2. NVLink validation
- 3. Cabling and signal verification
- Cluster diagnostics
- 1. ClusterKit multi-node assessment
- 2. Storage testing
- Performance and stress testing
- 1. HPL (High-Performance Linpack) benchmarking
- 2. Cluster burn-in tests (HPL, NCCL, NeMo)
- 3. Single-node stress testing
- 4. NCCL communication testing
|
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NVIDIA AI Infrastructure Sample Questions (Q33-Q38):
NEW QUESTION # 33
You are troubleshooting a network performance issue in your NVIDIA Spectrum-X based A1 cluster. You suspect that the Equal-Cost Multi-Path (ECMP) hashing algorithm is not distributing traffic evenly across available paths, leading to congestion on some links. Which of the following methods would be MOST effective for verifying and addressing this issue?
- A. Disable ECMP entirely and rely solely on static routing.
- B. Use 'ping' or 'traceroute' to analyze the paths taken by packets between the affected nodes. If they always take the same path, ECMP is likely not working correctly.
- C. Use switch telemetry tools (e.g., NVIDIA What's Up Gold, Mellanox NEO, or similar) to monitor link utilization across all available paths between the nodes. Look for significant imbalances in traffic volume.
- D. Reduce the TCP window size.
- E. Restart the switches to force the ECMP hashing algorithm to recalculate paths.
Answer: C
Explanation:
Switch telemetry tools provide the most direct and comprehensive way to monitor link utilization and identify imbalances in traffic distribution caused by ECMP. While 'ping' and 'traceroute' can provide path information, they don't give insight into traffic volume. Restarting the switches might temporarily alleviate the issue but doesn't address the underlying problem with the ECMP hashing. Disabling ECMP is a last resort and can reduce overall bandwidth.
NEW QUESTION # 34
What command is needed to measure BER (Bit Error Rate)?
- A. ethtool -S <device>
- B. mlxlink -d <device> -c -e
- C. mstflint -d <device> q full
- D. mlxconfig -d <device> q
Answer: B
Explanation:
In NVIDIA networking environments, specifically those utilizing InfiniBand or high-speed Ethernet via ConnectX adapters, monitoring the physical link quality is critical for preventing packet loss and RDMA retransmissions. The mlxlink tool is part of the NVIDIA Firmware Tools (MFT) package and is the primary utility for checking the status and health of the physical link. Using the -d flag specifies the device (e.g., /dev
/mst/mt4123_pciconf0), while the -c (counters) and -e (error counters/BER) flags provide a detailed readout of the link's performance. Bit Error Rate (BER) is a fundamental metric for signal integrity. NVIDIA systems typically distinguish between "Raw BER" (errors before Forward Error Correction) and "Effective BER" (errors remaining after FEC). A high BER often points to a failing transceiver, a dirty fiber connector, or a marginal DAC cable. While ethtool can show general statistics in Ethernet mode, mlxlink is the verified method for granular BER measurement across InfiniBand and high-speed fabrics, allowing engineers to determine if a link meets the "Error-Free" operation standards required for large-scale AI collective communications like NCCL.
NEW QUESTION # 35
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. Install the SPDK packages using the DPU's package manager (e.g., 'apt install spdk').
- C. Configure the network interfaces on the DPIJ to support RDMA or NVMe-oF, depending on the desired storage protocol.
- D. Configure the Huge Pages settings in the DPU's kernel to allocate sufficient memory for SPDK.
- E. Download and compile the SPDK source code directly on the DPU.
Answer: B,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 # 36
Refer to the exhibit. What is the maximum bandwidth supported by Direct Attach Copper (DAC) LinkX cables?

- A. 100 Gbps
- B. 400 Gbps
- C. 50 Gbps
- D. 200 Gbps
Answer: B
Explanation:
NVIDIA LinkX Direct Attach Copper cables support high-speed Ethernet and InfiniBand connectivity up to 400 Gbps, making them suitable for dense GPU cluster interconnects and short-reach data center links.
NEW QUESTION # 37
An infrastructure engineer in an AI factory has successfully replaced a power supply unit on an NVIDIA DGX H100. After installation, both the IN and OUT LEDs on the new power supply illuminate solid green. Which NVSM CLI command should the engineer use to quickly verify the overall system status and ensure it is operating as expected?
- A. nvsm show powermode
- B. nvsm show alerts
- C. nvsm show health
- D. nvsm show power
Answer: C
Explanation:
nvsm show health provides a quick overall health summary for the DGX system after hardware replacement. It is the appropriate command to confirm that the system is operating normally and that no health issues remain after the PSU installation.
NEW QUESTION # 38
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