NVIDIA NCP-AII Practice Test 113
Question 1120
During an NVIDIA AI factory acceptance test, engineers discover: An HGX tray reports one defective accelerator and a technician plans service without draining active training jobs. Which TWO complementary elements are needed: the correct technical action and the strongest independent diagnostic evidence? Select TWO answers.
- Review kernel and NVIDIA Xid logs, driver version, concurrent workload, ECC state and vendor diagnostic guidance.
- Assume any physically fitting GPU board can be hot-swapped into every running NVIDIA HGX system without validation.
- Validate Intel CPU, PCIe and NUMA placement with supported BIOS and stable sustained-power settings.
- Inspect asset identifiers, FRU service records, firmware compatibility, PCIe enumeration and NVLink or NCCL results.
- Drain workloads and follow the vendor's approved component replacement, firmware and postrepair diagnostic runbook.
Explanation
Correct Answers
D:This is the direct operational evidence to investigate: Inspect asset identifiers, FRU service records, firmware compatibility, PCIe enumeration and NVLink or NCCL results. Observed scenario: An HGX tray reports one defective accelerator and a technician plans service without draining active training jobs. The governing mechanism is: GPU and switch field replacement changes hardware identity and fabric behavior and requires safety and validation steps.
E:This is an appropriate correction for GPU and NVSwitch field replaceable component workflow: Drain workloads and follow the vendor's approved component replacement, firmware and postrepair diagnostic runbook. Observed scenario: An HGX tray reports one defective accelerator and a technician plans service without draining active training jobs. The governing mechanism is: GPU and switch field replacement changes hardware identity and fabric behavior and requires safety and validation steps.
Incorrect Answers
A:This alternative is relevant to NVIDIA GPU Xid event root cause isolation but does not directly resolve the current GPU and NVSwitch field replaceable component workflow issue: Review kernel and NVIDIA Xid logs, driver version, concurrent workload, ECC state and vendor diagnostic guidance. Observed scenario: An HGX tray reports one defective accelerator and a technician plans service without draining active training jobs.
B:This tempting but unsafe shortcut is not a sufficient remediation for GPU and NVSwitch field replaceable component workflow: Assume any physically fitting GPU board can be hot-swapped into every running NVIDIA HGX system without validation. An HGX tray reports one defective accelerator and a technician plans service without draining active training jobs. GPU and switch field replacement changes hardware identity and fabric behavior and requires safety and validation steps.
C:This alternative is relevant to Intel host CPU PCIe placement and BIOS efficiency but does not directly resolve the current GPU and NVSwitch field replaceable component workflow issue: Validate Intel CPU, PCIe and NUMA placement with supported BIOS and stable sustained-power settings. Observed scenario: An HGX tray reports one defective accelerator and a technician plans service without draining active training jobs.
Question 1121
A production GPU cluster review identifies this condition: A replaced GPU appears with different expected firmware and the NVLink connectivity test is skipped. Which operational response is MOST appropriate to address the root issue? Select ONE best answer.
- Assume any physically fitting GPU board can be hot-swapped into every running NVIDIA HGX system without validation.
- Drain workloads and follow the vendor's approved component replacement, firmware and postrepair diagnostic runbook.
- Evaluate protected storage layout, rebuild behavior, workload concurrency and sustained dataset throughput.
- Correlate specific Xid codes and timing with GPU, driver, application and fabric evidence before remediation.
Explanation
Correct Answer
B:This is an appropriate correction for GPU and NVSwitch field replaceable component workflow: Drain workloads and follow the vendor's approved component replacement, firmware and postrepair diagnostic runbook. Observed scenario: A replaced GPU appears with different expected firmware and the NVLink connectivity test is skipped.
Incorrect Answers
A:This tempting but unsafe shortcut is not a sufficient remediation for GPU and NVSwitch field replaceable component workflow: Assume any physically fitting GPU board can be hot-swapped into every running NVIDIA HGX system without validation. A replaced GPU appears with different expected firmware and the NVLink connectivity test is skipped.
C:This alternative is relevant to Storage array throughput and RAID or erasure recovery but does not directly resolve the current GPU and NVSwitch field replaceable component workflow issue: Evaluate protected storage layout, rebuild behavior, workload concurrency and sustained dataset throughput. Observed scenario: A replaced GPU appears with different expected firmware and the NVLink connectivity test is skipped.
D:This alternative is relevant to NVIDIA GPU Xid event root cause isolation but does not directly resolve the current GPU and NVSwitch field replaceable component workflow issue: Correlate specific Xid codes and timing with GPU, driver, application and fabric evidence before remediation. Observed scenario: A replaced GPU appears with different expected firmware and the NVLink connectivity test is skipped.
Question 1122
In a professional AI infrastructure deployment, a technician observes: A replaced GPU appears with different expected firmware and the NVLink connectivity test is skipped. Which underlying infrastructure principle BEST explains the issue? Select ONE best answer.
- GPU and switch field replacement changes hardware identity and fabric behavior and requires safety and validation steps.
- NVIDIA Xid messages signal GPU-related errors with varying causes and severity; the exact code and context matter.
- A high-speed fabric fault may originate in cable, transceiver, adapter, driver or host slot rather than the GPU.
- Assume any physically fitting GPU board can be hot-swapped into every running NVIDIA HGX system without validation.
Explanation
Correct Answer
A:This is the governing infrastructure principle: GPU and switch field replacement changes hardware identity and fabric behavior and requires safety and validation steps. Observed scenario: A replaced GPU appears with different expected firmware and the NVLink connectivity test is skipped.
Incorrect Answers
B:This alternative is relevant to NVIDIA GPU Xid event root cause isolation but does not directly resolve the current GPU and NVSwitch field replaceable component workflow issue: NVIDIA Xid messages signal GPU-related errors with varying causes and severity; the exact code and context matter. Observed scenario: A replaced GPU appears with different expected firmware and the NVLink connectivity test is skipped.
C:That option concerns Failed ConnectX HCA or port fault isolation. A direct check is: Inspect asset identifiers, FRU service records, firmware compatibility, PCIe enumeration and NVLink or NCCL results.
D:This tempting but unsafe shortcut is not a sufficient remediation for GPU and NVSwitch field replaceable component workflow: Assume any physically fitting GPU board can be hot-swapped into every running NVIDIA HGX system without validation. A replaced GPU appears with different expected firmware and the NVLink connectivity test is skipped. GPU and switch field replacement changes hardware identity and fabric behavior and requires safety and validation steps.
Question 1123
The cluster operations team needs to evaluate this situation: A replaced GPU appears with different expected firmware and the NVLink connectivity test is skipped. Which diagnostic evidence should be obtained FIRST to substantiate the likely fault or configuration gap? Select ONE best answer.
- Inspect asset identifiers, FRU service records, firmware compatibility, PCIe enumeration and NVLink or NCCL results.
- Assume any physically fitting GPU board can be hot-swapped into every running NVIDIA HGX system without validation.
- Inspect array fault state, protection topology, rebuild progress, queue depth, and read-write benchmark trends.
- Inspect lscpu NUMA topology, numactl placement, memory bandwidth, CPU affinity and GPU data-feed stalls.
Explanation
Correct Answer
A:This is the direct operational evidence to investigate: Inspect asset identifiers, FRU service records, firmware compatibility, PCIe enumeration and NVLink or NCCL results. Observed scenario: A replaced GPU appears with different expected firmware and the NVLink connectivity test is skipped.
Incorrect Answers
B:This tempting but unsafe shortcut is not a sufficient remediation for GPU and NVSwitch field replaceable component workflow: Assume any physically fitting GPU board can be hot-swapped into every running NVIDIA HGX system without validation. Observed scenario: A replaced GPU appears with different expected firmware and the NVLink connectivity test is skipped. The governing mechanism is: GPU and switch field replacement changes hardware identity and fabric behavior and requires safety and validation steps. The proportionate action is: Drain workloads and follow the vendor's approved component replacement, firmware and postrepair diagnostic runbook.
C:This alternative is relevant to Storage array throughput and RAID or erasure recovery but does not directly resolve the current GPU and NVSwitch field replaceable component workflow issue: Inspect array fault state, protection topology, rebuild progress, queue depth, and read-write benchmark trends. Observed scenario: A replaced GPU appears with different expected firmware and the NVLink connectivity test is skipped.
D:This alternative is relevant to AMD host CPU NUMA and memory tuning but does not directly resolve the current GPU and NVSwitch field replaceable component workflow issue: Inspect lscpu NUMA topology, numactl placement, memory bandwidth, CPU affinity and GPU data-feed stalls. Observed scenario: A replaced GPU appears with different expected firmware and the NVLink connectivity test is skipped.
Question 1124
At a multi-node AI infrastructure handoff, the team records: A replaced GPU appears with different expected firmware and the NVLink connectivity test is skipped. After corrective work, which observable result BEST confirms that the requirement is met? Select ONE best answer.
- The repaired node sustains approved clocks and performance with normal fan state under representative load.
- The repaired path maintains intended negotiated performance with acceptable errors under repeated RDMA stress.
- Assume any physically fitting GPU board can be hot-swapped into every running NVIDIA HGX system without validation.
- The new component is correctly inventoried and passes supported compute and interconnect tests before rescheduling.
Explanation
Correct Answer
D:This is an observable verified result, not merely a claimed configuration change: The new component is correctly inventoried and passes supported compute and interconnect tests before rescheduling. Observed scenario: A replaced GPU appears with different expected firmware and the NVLink connectivity test is skipped.
Incorrect Answers
A:This alternative is relevant to Fan faults and thermal throttling investigation but does not directly resolve the current GPU and NVSwitch field replaceable component workflow issue: The repaired node sustains approved clocks and performance with normal fan state under representative load. Observed scenario: A replaced GPU appears with different expected firmware and the NVLink connectivity test is skipped.
B:That option concerns Failed ConnectX HCA or port fault isolation. GPU and switch field replacement changes hardware identity and fabric behavior and requires safety and validation steps.
C:This tempting but unsafe shortcut is not a sufficient remediation for GPU and NVSwitch field replaceable component workflow: Assume any physically fitting GPU board can be hot-swapped into every running NVIDIA HGX system without validation. Observed scenario: A replaced GPU appears with different expected firmware and the NVLink connectivity test is skipped. The governing mechanism is: GPU and switch field replacement changes hardware identity and fabric behavior and requires safety and validation steps. The proportionate action is: Drain workloads and follow the vendor's approved component replacement, firmware and postrepair diagnostic runbook. A direct check is: Inspect asset identifiers, FRU service records, firmware compatibility, PCIe enumeration and NVLink or NCCL results. The acceptance condition is: The new component is correctly inventoried and passes supported compute and interconnect tests before rescheduling.
Question 1125
During an NVIDIA AI factory acceptance test, engineers discover: An operator opens a restricted chassis without following model-specific safety and supported FRU procedures. Which operational response is MOST appropriate to address the root issue? Select ONE best answer.
- Evaluate protected storage layout, rebuild behavior, workload concurrency and sustained dataset throughput.
- Assume any physically fitting GPU board can be hot-swapped into every running NVIDIA HGX system without validation.
- Correlate cooling airflow, fan health, ambient inlet and clock-throttle reasons; repair root cause safely.
- Drain workloads and follow the vendor's approved component replacement, firmware and postrepair diagnostic runbook.
Explanation
Correct Answer
D:This is an appropriate correction for GPU and NVSwitch field replaceable component workflow: Drain workloads and follow the vendor's approved component replacement, firmware and postrepair diagnostic runbook. Observed scenario: An operator opens a restricted chassis without following model-specific safety and supported FRU procedures.
Incorrect Answers
A:This alternative is relevant to Storage array throughput and RAID or erasure recovery but does not directly resolve the current GPU and NVSwitch field replaceable component workflow issue: Evaluate protected storage layout, rebuild behavior, workload concurrency and sustained dataset throughput. Observed scenario: An operator opens a restricted chassis without following model-specific safety and supported FRU procedures.
B:This tempting but unsafe shortcut is not a sufficient remediation for GPU and NVSwitch field replaceable component workflow: Assume any physically fitting GPU board can be hot-swapped into every running NVIDIA HGX system without validation. An operator opens a restricted chassis without following model-specific safety and supported FRU procedures.
C:This alternative is relevant to Fan faults and thermal throttling investigation but does not directly resolve the current GPU and NVSwitch field replaceable component workflow issue: Correlate cooling airflow, fan health, ambient inlet and clock-throttle reasons; repair root cause safely. Observed scenario: An operator opens a restricted chassis without following model-specific safety and supported FRU procedures.
Question 1126
A production GPU cluster review identifies this condition: An operator opens a restricted chassis without following model-specific safety and supported FRU procedures. Which underlying infrastructure principle BEST explains the issue? Select ONE best answer.
- NVIDIA Xid messages signal GPU-related errors with varying causes and severity; the exact code and context matter.
- GPU and switch field replacement changes hardware identity and fabric behavior and requires safety and validation steps.
- Assume any physically fitting GPU board can be hot-swapped into every running NVIDIA HGX system without validation.
- GPU memory error handling can mask or retire damaged regions; recurring serious errors require reliability assessment.
Explanation
Correct Answer
B:This is the governing infrastructure principle: GPU and switch field replacement changes hardware identity and fabric behavior and requires safety and validation steps. Observed scenario: An operator opens a restricted chassis without following model-specific safety and supported FRU procedures.
Incorrect Answers
A:This alternative is relevant to NVIDIA GPU Xid event root cause isolation but does not directly resolve the current GPU and NVSwitch field replaceable component workflow issue: NVIDIA Xid messages signal GPU-related errors with varying causes and severity; the exact code and context matter. Observed scenario: An operator opens a restricted chassis without following model-specific safety and supported FRU procedures.
C:This tempting but unsafe shortcut is not a sufficient remediation for GPU and NVSwitch field replaceable component workflow: Assume any physically fitting GPU board can be hot-swapped into every running NVIDIA HGX system without validation. An operator opens a restricted chassis without following model-specific safety and supported FRU procedures. GPU and switch field replacement changes hardware identity and fabric behavior and requires safety and validation steps.
D:That option concerns GPU ECC and memory reliability diagnosis. A direct check is: Inspect asset identifiers, FRU service records, firmware compatibility, PCIe enumeration and NVLink or NCCL results.
Question 1127
In a professional AI infrastructure deployment, a technician observes: An operator opens a restricted chassis without following model-specific safety and supported FRU procedures. Which diagnostic evidence should be obtained FIRST to substantiate the likely fault or configuration gap? Select ONE best answer.
- Assume any physically fitting GPU board can be hot-swapped into every running NVIDIA HGX system without validation.
- Review kernel and NVIDIA Xid logs, driver version, concurrent workload, ECC state and vendor diagnostic guidance.
- Inspect asset identifiers, FRU service records, firmware compatibility, PCIe enumeration and NVLink or NCCL results.
- Inspect fan tachometer and BMC sensors, GPU temperature, throttle reasons, inlet mapping and workload timing.
Explanation
Correct Answer
C:This is the direct operational evidence to investigate: Inspect asset identifiers, FRU service records, firmware compatibility, PCIe enumeration and NVLink or NCCL results. Observed scenario: An operator opens a restricted chassis without following model-specific safety and supported FRU procedures.
Incorrect Answers
A:This tempting but unsafe shortcut is not a sufficient remediation for GPU and NVSwitch field replaceable component workflow: Assume any physically fitting GPU board can be hot-swapped into every running NVIDIA HGX system without validation. Observed scenario: An operator opens a restricted chassis without following model-specific safety and supported FRU procedures. The governing mechanism is: GPU and switch field replacement changes hardware identity and fabric behavior and requires safety and validation steps. The proportionate action is: Drain workloads and follow the vendor's approved component replacement, firmware and postrepair diagnostic runbook.
B:This alternative is relevant to NVIDIA GPU Xid event root cause isolation but does not directly resolve the current GPU and NVSwitch field replaceable component workflow issue: Review kernel and NVIDIA Xid logs, driver version, concurrent workload, ECC state and vendor diagnostic guidance. Observed scenario: An operator opens a restricted chassis without following model-specific safety and supported FRU procedures.
D:This alternative is relevant to Fan faults and thermal throttling investigation but does not directly resolve the current GPU and NVSwitch field replaceable component workflow issue: Inspect fan tachometer and BMC sensors, GPU temperature, throttle reasons, inlet mapping and workload timing. Observed scenario: An operator opens a restricted chassis without following model-specific safety and supported FRU procedures.
Question 1128
The cluster operations team needs to evaluate this situation: An operator opens a restricted chassis without following model-specific safety and supported FRU procedures. After corrective work, which observable result BEST confirms that the requirement is met? Select ONE best answer.
- The new component is correctly inventoried and passes supported compute and interconnect tests before rescheduling.
- Intended GPU and NIC paths deliver stable accepted bandwidth and CPU overhead under sustained representative load.
- The device either passes approved health criteria under load or is replaced with traceable fault closure.
- Assume any physically fitting GPU board can be hot-swapped into every running NVIDIA HGX system without validation.
Explanation
Correct Answer
A:This is an observable verified result, not merely a claimed configuration change: The new component is correctly inventoried and passes supported compute and interconnect tests before rescheduling. Observed scenario: An operator opens a restricted chassis without following model-specific safety and supported FRU procedures.
Incorrect Answers
B:This alternative is relevant to Intel host CPU PCIe placement and BIOS efficiency but does not directly resolve the current GPU and NVSwitch field replaceable component workflow issue: Intended GPU and NIC paths deliver stable accepted bandwidth and CPU overhead under sustained representative load. Observed scenario: An operator opens a restricted chassis without following model-specific safety and supported FRU procedures.
C:That option concerns GPU ECC and memory reliability diagnosis. GPU and switch field replacement changes hardware identity and fabric behavior and requires safety and validation steps.
D:This tempting but unsafe shortcut is not a sufficient remediation for GPU and NVSwitch field replaceable component workflow: Assume any physically fitting GPU board can be hot-swapped into every running NVIDIA HGX system without validation. Observed scenario: An operator opens a restricted chassis without following model-specific safety and supported FRU procedures. The governing mechanism is: GPU and switch field replacement changes hardware identity and fabric behavior and requires safety and validation steps. The proportionate action is: Drain workloads and follow the vendor's approved component replacement, firmware and postrepair diagnostic runbook. A direct check is: Inspect asset identifiers, FRU service records, firmware compatibility, PCIe enumeration and NVLink or NCCL results. The acceptance condition is: The new component is correctly inventoried and passes supported compute and interconnect tests before rescheduling.
Question 1129
At a multi-node AI infrastructure handoff, the team records: A GPU server with AMD EPYC CPUs feeds remote socket memory to local accelerators and preprocessing throughput falls. Which operational response is MOST appropriate to address the root issue? Select ONE best answer.
- Treat all CPU cores and DRAM channels as equal-latency to every GPU because the system uses accelerated computing.
- Measure locality and CPU-memory traffic, then use approved AMD platform NUMA and affinity settings for the workload.
- Profile representative file access, mount options, caches and pipeline parallelism before tuning or scaling storage.
- Correlate cooling airflow, fan health, ambient inlet and clock-throttle reasons; repair root cause safely.
Explanation
Correct Answer
B:This is an appropriate correction for AMD host CPU NUMA and memory tuning: Measure locality and CPU-memory traffic, then use approved AMD platform NUMA and affinity settings for the workload. Observed scenario: A GPU server with AMD EPYC CPUs feeds remote socket memory to local accelerators and preprocessing throughput falls.
Incorrect Answers
A:This tempting but unsafe shortcut is not a sufficient remediation for AMD host CPU NUMA and memory tuning: Treat all CPU cores and DRAM channels as equal-latency to every GPU because the system uses accelerated computing.
C:That option concerns Storage mounts latency and data pipeline tuning. Multi-socket host data movement can limit accelerator utilization even when GPU kernels themselves are efficient.
D:This alternative is relevant to Fan faults and thermal throttling investigation but does not directly resolve the current AMD host CPU NUMA and memory tuning issue: Correlate cooling airflow, fan health, ambient inlet and clock-throttle reasons; repair root cause safely. Observed scenario: A GPU server with AMD EPYC CPUs feeds remote socket memory to local accelerators and preprocessing throughput falls.
Question 1130
During an NVIDIA AI factory acceptance test, engineers discover: A GPU server with AMD EPYC CPUs feeds remote socket memory to local accelerators and preprocessing throughput falls. Which TWO complementary elements are needed: the correct technical action and the strongest independent diagnostic evidence? Select TWO answers.
- Treat all CPU cores and DRAM channels as equal-latency to every GPU because the system uses accelerated computing.
- Review kernel and NVIDIA Xid logs, driver version, concurrent workload, ECC state and vendor diagnostic guidance.
- Measure locality and CPU-memory traffic, then use approved AMD platform NUMA and affinity settings for the workload.
- Evaluate protected storage layout, rebuild behavior, workload concurrency and sustained dataset throughput.
- Inspect lscpu NUMA topology, numactl placement, memory bandwidth, CPU affinity and GPU data-feed stalls.
Explanation
Correct Answers
C:This is an appropriate correction for AMD host CPU NUMA and memory tuning: Measure locality and CPU-memory traffic, then use approved AMD platform NUMA and affinity settings for the workload. Observed scenario: A GPU server with AMD EPYC CPUs feeds remote socket memory to local accelerators and preprocessing throughput falls. The governing mechanism is: Multi-socket host data movement can limit accelerator utilization even when GPU kernels themselves are efficient.
E:This is the direct operational evidence to investigate: Inspect lscpu NUMA topology, numactl placement, memory bandwidth, CPU affinity and GPU data-feed stalls. Observed scenario: A GPU server with AMD EPYC CPUs feeds remote socket memory to local accelerators and preprocessing throughput falls.
Incorrect Answers
A:This tempting but unsafe shortcut is not a sufficient remediation for AMD host CPU NUMA and memory tuning: Treat all CPU cores and DRAM channels as equal-latency to every GPU because the system uses accelerated computing. Multi-socket host data movement can limit accelerator utilization even when GPU kernels themselves are efficient.
B:This alternative is relevant to NVIDIA GPU Xid event root cause isolation but does not directly resolve the current AMD host CPU NUMA and memory tuning issue: Review kernel and NVIDIA Xid logs, driver version, concurrent workload, ECC state and vendor diagnostic guidance. Observed scenario: A GPU server with AMD EPYC CPUs feeds remote socket memory to local accelerators and preprocessing throughput falls.
D:This alternative is relevant to Storage array throughput and RAID or erasure recovery but does not directly resolve the current AMD host CPU NUMA and memory tuning issue: Evaluate protected storage layout, rebuild behavior, workload concurrency and sustained dataset throughput. Observed scenario: A GPU server with AMD EPYC CPUs feeds remote socket memory to local accelerators and preprocessing throughput falls.