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NVIDIA NCA-AIIO Practice Exam Questions
NVIDIA-Certified Associate AI Infrastructure and Operations
Total Questions : 71
Update Date : August 15, 2026
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NVIDIA NCA-AIIO Sample Question Answers
Question # 1What is the maximum number of MIG instances that an H100 GPU provides?
A. 7
B. 8
C. 4
Question # 2
Which NVIDIA technology provides the broadest ecosystem for parallel computation across languages?
A. cuGraph
B. OpenCL
C. Triton Inference Server
D. CUDA
Question # 3
A simul-ation is bottlenecked by memory transfer speeds. Which GPU architectural feature addresses this?
A. Large shared memory and high-bandwidth buses.
B. Direct wiring of GPUs as main disk controllers.
C. Increase number of I/O ports for PCIe devices.
D. Dedicated and proprietary inference ASICs.
Question # 4
Which protocol is most critical for low-latency GPU-to-GPU transfers in large AI clusters using Ethernet?
A. DCTCP with ECN-based congestion control.
B. PFC-only lossless Ethernet without RDMA.
C. RDMA over Converged Ethernet, or RoCE.
D. iWARP, RDMA on TCP over Ethernet.
Question # 5
Which of the following is a best practice for addressing model drift in AI operations?
A. Increase hardware resources when accuracy drops.
B. Monitor deployed models regularly and retrain with fresh data.
C. Permit changes in input data distributions over time.
D. Allow the model to generalize to any data.
Question # 6
What distinguishes an edge AI deployment from cloud-based deployments?
A. Eliminates need for network management.
B. Processes data close to the source.
C. Relies solely on CPU for all computation.
D. Requires higher-capacity GPUs at every site.
Question # 7
Engineers are troubleshooting slow step time and poor scaling efficiency in a multi-rack distributed AI training cluster. Which infrastructure change is MOST likely to improve endto-end training performance?
A. Migrate inter-node communication to a secured Wi-Fi 6 mesh to reduce cabling complexity in the data center.
B. Deploy a lossless InfiniBand or RoCE-based high-bandwidth, low-latency fabric and tune it for all-reduce traffic.
C. Insert stateful firewalls with deep-packet inspection between training nodes to better control east-west traffic flows.
D. Increase the number of top-of-rack switch ports while keeping the same oversubscribed Layer 3 Ethernet design.
Question # 8
Which NVIDIA product is used for data preparation in an AI workflow?
A. DOCA
B. RAPIDS
C. DLSS
Question # 9
Which architecture, training or inference, requires more data storage?
A. Inference architecture requires more data storage.
B. Training architecture requires more data storage.
C. Training and inference architecture require the same amount of data storage.
Question # 10
In a large enterprise cluster, frequent out-of-memory errors occur mid-experiment. What operational feature resolves this?
A. Deploy and monitor containers to boost GPU memory.
B. Resource reservation and usage monitoring in the workload manager.
C. Increase cluster node count automatically.
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