Online Access Free NCP-AII Practice Test

A DGX H100 system shows intermittent "Link Down" errors on a 200G DAC cable. CVT reports "No Signal" despite physical connection. What is the first hardware check?

• A.Upgrade all leaf switches to support RS-FEC.
• B.Replace the switch's optical transceiver with a higher-wattage model.
• C.Verify cable compatibility via the ConnectX-7 firmware validated adapters list and inspect connectors for damage.
• D.Reconfigure the port for 100G speeds via NVIDIA MST.

During a multi-day NeMo burn-in, intermittent " GPU fell off bus " errors occur. Which diagnostic approach isolates hardware faults?

• A.Switch from BERT to GPT models for simpler computations.
• B.Reduce blocksize to 500MB to lower memory pressure.
• C.Run DCGM diagnostics alongside burn-in to monitor GPU health metrics.
• D.Enable HPL_USE_NVSHMEM for alternative memory sharing.

A company has a registered NGC account and their server has NGC CLI installed. What step should be taken first to gain access to NGC?

• A.ngc config set
• B.ngc config update
• C.ngc init
• D.ngc config get

An infrastructure engineer runs an NCCL burn-in on an eight-node GPU cluster. Over a 12-hour period, all GPUs are tested with repeated all-reduce collectives. Monitoring tools show the following observations:
Aggregate bandwidth remains within 5% of documented reference for the hardware on every run.
No errors or timeouts are reported in NCCL logs.
On three occasions, one GPU logged single-run bandwidth dips of 15-20% compared to its normal performance, but performance recovered on the next run and stayed stable afterward. System logs show no hardware or driver errors.
Two minor NCCL WARN-level messages about "unexpected latency spike" appear in system logs for separate nodes, but could not be reproduced.
Which conclusion is the best strategy before releasing the cluster to production?

• A.Proceed, since all bandwidth targets are met, issues were transient and self-resolved, and there are no persistent errors or timeouts across repeated burn-ins.
• B.Recommend proactive maintenance, because any bandwidth drop, even if transient and unreproducible, shows the burn-in failed; clusters must not show performance variance above 10% for any GPU even once.
• C.Approve for AI workload use, but flag affected nodes for manual exclusion from distributed training jobs, as nodes showing any anomaly should be isolated whenever possible.

A DGX server reports degraded performance and storage alerts. How would you use NVSM and nvidia-smi to troubleshoot both system and GPU issues?

• A.Start by issuing nvidia-smi -L to list GPUs, followed by nvsm --refresh to clear all alerts, and nvidia- smi -q to get detailed GPU information.
• B.Run nvsm reset to restore system health, then use nvidia-smi --fix for automatic GPU repairs and status recovery.
• C.Run nvsm collect-stats to gather logs, use lsblk to understand if there are storage problems, and nvidia- smi -q to get detailed GPU information.
• D.Use nvsm show health for a system health summary, nvsm show storage for storage issues, and nvidia- smi -q to get detailed GPU information.