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| Certification Vendor: | NVIDIA |
|---|---|
| Exam Name: | NVIDIA-Certified Professional AI Infrastructure Exam |
| Exam Number: | NCP-AII |
| Exam Format: | Multiple-choice questions, Scenario-based items |
| Passing Score: | Pass/Fail only, no numerical score |
| Certificate Validity Period: | 2 years |
| Real Exam Qty: | 60-70 |
| Related Certifications: | NVIDIA-Certified Associate AI Infrastructure and Operations (NCA-AIIO) NVIDIA-Certified Professional AI Operations (NCP-AIO) NVIDIA-Certified Professional AI Networking (NCP-AIN) |
| Exam Duration: | 120 minutes |
| Available Languages: | English |
| Exam Price: | $400 USD |
| Recommended Training: | NVIDIA AI Infrastructure Training |
| Exam Registration: | NVIDIA Certification Portal |
| Sample Questions: | NVIDIA NCP-AII Sample Questions |
| Exam Way: | Online remote proctored or onsite at authorized test centers |
| Pre Condition: | No mandatory prerequisites; recommended 2โ3 years of experience in data center infrastructure, Linux administration, and NVIDIA hardware/software environments |
| Official Syllabus URL: | https://www.nvidia.com/en-us/learn/certification/ai-infrastructure-professional/ |
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NEW QUESTION # 163
When verifying network cable signal integrity during cluster deployment, which measurement result most strongly indicates a cable signal problem?
Answer: C
Explanation:
The strongest indicator of a cable signal problem is repeated CRC errors combined with intermittent port flapping. CRC errors indicate corrupted frames at the link layer, often caused by poor signal integrity, damaged cables, bad transceivers, dirty optical connectors, excessive bend radius, marginal DAC quality, or unsupported media. Intermittent port flapping means the link repeatedly transitions down and back up, which strongly suggests a physical-layer instability rather than a higher-level application issue. Seeing the expected link speed in ifconfig is not enough to prove signal quality; a link can negotiate at the correct speed while still accumulating errors under load. Successful pings under 2 ms also do not validate high-speed fabric quality because ICMP traffic is lightweight and does not stress the link like RDMA, NCCL, or storage traffic. In NVIDIA AI clusters, physical-layer faults can severely affect distributed training because retransmissions, packet drops, and link resets create stragglers in collective communication. Cable validation should include switch counters, BER or FEC data where available, port stability, transceiver telemetry, and sustained workload or fabric testing.
NEW QUESTION # 164
The system administrator plans to use Multi-Instance GPU profiles. What command should be used to verify that the GPU has this mode enabled?
Answer: C
Explanation:
The correct command is nvidia-smi. Multi-Instance GPU, or MIG, is managed and verified through NVIDIA System Management Interface utilities. On supported GPUs such as NVIDIA A100 and H100, nvidia-smi can be used to check whether MIG mode is enabled, list available GPU instances, and confirm how the GPU is partitioned. For example, administrators commonly use commands such as nvidia-smi, nvidia-smi -L, or nvidia-smi -i < GPU_ID > -q to inspect GPU state and MIG information. The options nvidia-mode, nvidia- mig, and nvidia-enable are not standard NVIDIA commands for verifying MIG mode. This is an important server bring-up step because MIG profiles must be confirmed before workloads are scheduled through Kubernetes, Slurm, NVIDIA GPU Operator, or other cluster management tools. If MIG is not enabled or profiles are not created correctly, users may not see the expected GPU slices, and AI inference or multi-tenant workloads can fail placement or run with incorrect resource isolation.
NEW QUESTION # 165
After Spectrum-X fabric deployment, NCCL tests show intermittent latency spikes. Which network condition most severely impacts East-West bandwidth?
Answer: A
Explanation:
Packet loss is the most severe condition because NCCL collective communication depends on predictable, reliable East-West data movement between GPUs. In Spectrum-X Ethernet fabrics, AI workloads rely on RoCE, congestion control, proper QoS, and low-loss behavior to keep GPU communication pipelines moving.
Even small amounts of packet loss can cause retransmissions, stalled collectives, increased tail latency, and reduced effective bandwidth. NCCL all-reduce and related collectives are synchronized operations, so one delayed flow or rank can slow the entire job. Transceiver firmware mismatches are serious and can contribute to instability, but the direct condition most damaging to bandwidth is actual packet loss. A 400G port running at 70% utilization is not automatically a problem if traffic is balanced and lossless behavior is maintained.
Jitter below 5 ps with consistent latency is not a severe issue; it suggests stable timing behavior. In post- deployment troubleshooting, engineers should inspect switch counters, RoCE congestion statistics, ECN/PFC behavior, retransmissions, packet drops, and NCCL logs to determine whether the fabric is causing the observed latency spikes.
NEW QUESTION # 166
You are troubleshooting performance issues in an A1 training clusten You suspect network congestion. Which of the following network monitoring tools would be MOST helpful in identifying the source of the congestion?
Answer: D,E
Explanation:
iPerf/Netperf can measure network bandwidth and latency between nodes, allowing you to quantify congestion. tcpdump/Wireshark can capture and analyze network packets, providing detailed insights into traffic patterns and potential bottlenecks. Ping and Traceroute are useful for basic connectivity testing but not for detailed congestion analysis. netstat shows network statistics but doesn't capture packet-level details.
NEW QUESTION # 167
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?
Answer: E
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 # 168
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