NVIDIA NCP-AII Practice Test 107
Question 1060
During an NVIDIA AI factory acceptance test, engineers discover: A DGX GPU reports increasing uncorrectable ECC events while training jobs still occasionally start. Which TWO complementary elements are needed: the correct technical action and the strongest independent diagnostic evidence? Select TWO answers.
- Declare uncorrectable GPU memory faults harmless because the system still lists the accelerator in nvidia-smi.
- Quarantine and diagnose affected GPUs using ECC, row-remap and diagnostic evidence before authorized repair or return.
- Inspect fan tachometer and BMC sensors, GPU temperature, throttle reasons, inlet mapping and workload timing.
- Drain workloads and follow the vendor's approved component replacement, firmware and postrepair diagnostic runbook.
- Inspect nvidia-smi ECC history, DCGM alerts, remapped rows, Xid logs and stress test results.
Explanation
Correct Answers
B:This is an appropriate correction for GPU ECC and memory reliability diagnosis: Quarantine and diagnose affected GPUs using ECC, row-remap and diagnostic evidence before authorized repair or return. Observed scenario: A DGX GPU reports increasing uncorrectable ECC events while training jobs still occasionally start. The governing mechanism is: GPU memory error handling can mask or retire damaged regions; recurring serious errors require reliability assessment.
E:This is the direct operational evidence to investigate: Inspect nvidia-smi ECC history, DCGM alerts, remapped rows, Xid logs and stress test results. Observed scenario: A DGX GPU reports increasing uncorrectable ECC events while training jobs still occasionally start. The governing mechanism is: GPU memory error handling can mask or retire damaged regions; recurring serious errors require reliability assessment.
Incorrect Answers
A:This tempting but unsafe shortcut is not a sufficient remediation for GPU ECC and memory reliability diagnosis: Declare uncorrectable GPU memory faults harmless because the system still lists the accelerator in nvidia-smi. A DGX GPU reports increasing uncorrectable ECC events while training jobs still occasionally start. GPU memory error handling can mask or retire damaged regions; recurring serious errors require reliability assessment.
C:This alternative is relevant to Fan faults and thermal throttling investigation but does not directly resolve the current GPU ECC and memory reliability diagnosis issue: Inspect fan tachometer and BMC sensors, GPU temperature, throttle reasons, inlet mapping and workload timing. Observed scenario: A DGX GPU reports increasing uncorrectable ECC events while training jobs still occasionally start.
D:This alternative is relevant to GPU and NVSwitch field replaceable component workflow but does not directly resolve the current GPU ECC and memory reliability diagnosis issue: Drain workloads and follow the vendor's approved component replacement, firmware and postrepair diagnostic runbook. Observed scenario: A DGX GPU reports increasing uncorrectable ECC events while training jobs still occasionally start.
Question 1061
A production GPU cluster review identifies this condition: A node is returned to service after repeated memory faults with no review of row-remapping or retired-page state. Which operational response is MOST appropriate to address the root issue? Select ONE best answer.
- Profile representative file access, mount options, caches and pipeline parallelism before tuning or scaling storage.
- Declare uncorrectable GPU memory faults harmless because the system still lists the accelerator in nvidia-smi.
- Quarantine and diagnose affected GPUs using ECC, row-remap and diagnostic evidence before authorized repair or return.
- Correlate specific Xid codes and timing with GPU, driver, application and fabric evidence before remediation.
Explanation
Correct Answer
C:This is an appropriate correction for GPU ECC and memory reliability diagnosis: Quarantine and diagnose affected GPUs using ECC, row-remap and diagnostic evidence before authorized repair or return. Observed scenario: A node is returned to service after repeated memory faults with no review of row-remapping or retired-page state.
Incorrect Answers
A:That option concerns Storage mounts latency and data pipeline tuning. GPU memory error handling can mask or retire damaged regions; recurring serious errors require reliability assessment.
B:This tempting but unsafe shortcut is not a sufficient remediation for GPU ECC and memory reliability diagnosis: Declare uncorrectable GPU memory faults harmless because the system still lists the accelerator in nvidia-smi. A node is returned to service after repeated memory faults with no review of row-remapping or retired-page state.
D:This alternative is relevant to NVIDIA GPU Xid event root cause isolation but does not directly resolve the current GPU ECC and memory reliability diagnosis issue: Correlate specific Xid codes and timing with GPU, driver, application and fabric evidence before remediation. Observed scenario: A node is returned to service after repeated memory faults with no review of row-remapping or retired-page state.
Question 1062
In a professional AI infrastructure deployment, a technician observes: A node is returned to service after repeated memory faults with no review of row-remapping or retired-page state. Which underlying infrastructure principle BEST explains the issue? Select ONE best answer.
- GPU clock and performance stability depend on sufficient chassis cooling and supported thermal operating envelope.
- Server CPU socket topology, PCIe lane allocation and memory access shape the efficiency of host-to-GPU transfers.
- Declare uncorrectable GPU memory faults harmless because the system still lists the accelerator in nvidia-smi.
- GPU memory error handling can mask or retire damaged regions; recurring serious errors require reliability assessment.
Explanation
Correct Answer
D:This is the governing infrastructure principle: GPU memory error handling can mask or retire damaged regions; recurring serious errors require reliability assessment. Observed scenario: A node is returned to service after repeated memory faults with no review of row-remapping or retired-page state.
Incorrect Answers
A:This alternative is relevant to Fan faults and thermal throttling investigation but does not directly resolve the current GPU ECC and memory reliability diagnosis issue: GPU clock and performance stability depend on sufficient chassis cooling and supported thermal operating envelope. Observed scenario: A node is returned to service after repeated memory faults with no review of row-remapping or retired-page state.
B:This alternative is relevant to Intel host CPU PCIe placement and BIOS efficiency but does not directly resolve the current GPU ECC and memory reliability diagnosis issue: Server CPU socket topology, PCIe lane allocation and memory access shape the efficiency of host-to-GPU transfers. Observed scenario: A node is returned to service after repeated memory faults with no review of row-remapping or retired-page state.
C:This tempting but unsafe shortcut is not a sufficient remediation for GPU ECC and memory reliability diagnosis: Declare uncorrectable GPU memory faults harmless because the system still lists the accelerator in nvidia-smi. A node is returned to service after repeated memory faults with no review of row-remapping or retired-page state. GPU memory error handling can mask or retire damaged regions; recurring serious errors require reliability assessment.
Question 1063
The cluster operations team needs to evaluate this situation: A node is returned to service after repeated memory faults with no review of row-remapping or retired-page state. Which diagnostic evidence should be obtained FIRST to substantiate the likely fault or configuration gap? Select ONE best answer.
- Inspect nvidia-smi ECC history, DCGM alerts, remapped rows, Xid logs and stress test results.
- Inspect array fault state, protection topology, rebuild progress, queue depth, and read-write benchmark trends.
- Inspect fan tachometer and BMC sensors, GPU temperature, throttle reasons, inlet mapping and workload timing.
- Declare uncorrectable GPU memory faults harmless because the system still lists the accelerator in nvidia-smi.
Explanation
Correct Answer
A:This is the direct operational evidence to investigate: Inspect nvidia-smi ECC history, DCGM alerts, remapped rows, Xid logs and stress test results. Observed scenario: A node is returned to service after repeated memory faults with no review of row-remapping or retired-page state.
Incorrect Answers
B:That option concerns Storage array throughput and RAID or erasure recovery. GPU memory error handling can mask or retire damaged regions; recurring serious errors require reliability assessment.
C:This alternative is relevant to Fan faults and thermal throttling investigation but does not directly resolve the current GPU ECC and memory reliability diagnosis issue: Inspect fan tachometer and BMC sensors, GPU temperature, throttle reasons, inlet mapping and workload timing. Observed scenario: A node is returned to service after repeated memory faults with no review of row-remapping or retired-page state.
D:This tempting but unsafe shortcut is not a sufficient remediation for GPU ECC and memory reliability diagnosis: Declare uncorrectable GPU memory faults harmless because the system still lists the accelerator in nvidia-smi. Observed scenario: A node is returned to service after repeated memory faults with no review of row-remapping or retired-page state. The governing mechanism is: GPU memory error handling can mask or retire damaged regions; recurring serious errors require reliability assessment. The proportionate action is: Quarantine and diagnose affected GPUs using ECC, row-remap and diagnostic evidence before authorized repair or return.
Question 1064
At a multi-node AI infrastructure handoff, the team records: A node is returned to service after repeated memory faults with no review of row-remapping or retired-page state. 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.
- 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.
- Declare uncorrectable GPU memory faults harmless because the system still lists the accelerator in nvidia-smi.
Explanation
Correct Answer
C:This is an observable verified result, not merely a claimed configuration change: The device either passes approved health criteria under load or is replaced with traceable fault closure. Observed scenario: A node is returned to service after repeated memory faults with no review of row-remapping or retired-page state.
Incorrect Answers
A:This alternative is relevant to Fan faults and thermal throttling investigation but does not directly resolve the current GPU ECC and memory reliability diagnosis issue: The repaired node sustains approved clocks and performance with normal fan state under representative load. Observed scenario: A node is returned to service after repeated memory faults with no review of row-remapping or retired-page state.
B:This alternative is relevant to Intel host CPU PCIe placement and BIOS efficiency but does not directly resolve the current GPU ECC and memory reliability diagnosis issue: Intended GPU and NIC paths deliver stable accepted bandwidth and CPU overhead under sustained representative load. Observed scenario: A node is returned to service after repeated memory faults with no review of row-remapping or retired-page state.
D:This tempting but unsafe shortcut is not a sufficient remediation for GPU ECC and memory reliability diagnosis: Declare uncorrectable GPU memory faults harmless because the system still lists the accelerator in nvidia-smi. Observed scenario: A node is returned to service after repeated memory faults with no review of row-remapping or retired-page state. The governing mechanism is: GPU memory error handling can mask or retire damaged regions; recurring serious errors require reliability assessment. The proportionate action is: Quarantine and diagnose affected GPUs using ECC, row-remap and diagnostic evidence before authorized repair or return. A direct check is: Inspect nvidia-smi ECC history, DCGM alerts, remapped rows, Xid logs and stress test results. The acceptance condition is: The device either passes approved health criteria under load or is replaced with traceable fault closure.
Question 1065
During an NVIDIA AI factory acceptance test, engineers discover: An engineer clears error counters without collecting the history of a suspected failing accelerator. Which operational response is MOST appropriate to address the root issue? Select ONE best answer.
- Declare uncorrectable GPU memory faults harmless because the system still lists the accelerator in nvidia-smi.
- Drain workloads and follow the vendor's approved component replacement, firmware and postrepair diagnostic runbook.
- Isolate the failed power path, verify redundancy budget and follow supported PSU replacement with monitoring.
- Quarantine and diagnose affected GPUs using ECC, row-remap and diagnostic evidence before authorized repair or return.
Explanation
Correct Answer
D:This is an appropriate correction for GPU ECC and memory reliability diagnosis: Quarantine and diagnose affected GPUs using ECC, row-remap and diagnostic evidence before authorized repair or return. Observed scenario: An engineer clears error counters without collecting the history of a suspected failing accelerator.
Incorrect Answers
A:This tempting but unsafe shortcut is not a sufficient remediation for GPU ECC and memory reliability diagnosis: Declare uncorrectable GPU memory faults harmless because the system still lists the accelerator in nvidia-smi. An engineer clears error counters without collecting the history of a suspected failing accelerator.
B:This alternative is relevant to GPU and NVSwitch field replaceable component workflow but does not directly resolve the current GPU ECC and memory reliability diagnosis issue: Drain workloads and follow the vendor's approved component replacement, firmware and postrepair diagnostic runbook. Observed scenario: An engineer clears error counters without collecting the history of a suspected failing accelerator.
C:This alternative is relevant to Redundant PSU and power path failure replacement but does not directly resolve the current GPU ECC and memory reliability diagnosis issue: Isolate the failed power path, verify redundancy budget and follow supported PSU replacement with monitoring. Observed scenario: An engineer clears error counters without collecting the history of a suspected failing accelerator.
Question 1066
A production GPU cluster review identifies this condition: An engineer clears error counters without collecting the history of a suspected failing accelerator. Which underlying infrastructure principle BEST explains the issue? Select ONE best answer.
- GPU memory error handling can mask or retire damaged regions; recurring serious errors require reliability assessment.
- Power-supply redundancy protects uptime only when remaining units and external feeds support actual operating demand.
- GPU and switch field replacement changes hardware identity and fabric behavior and requires safety and validation steps.
- Declare uncorrectable GPU memory faults harmless because the system still lists the accelerator in nvidia-smi.
Explanation
Correct Answer
A:This is the governing infrastructure principle: GPU memory error handling can mask or retire damaged regions; recurring serious errors require reliability assessment. Observed scenario: An engineer clears error counters without collecting the history of a suspected failing accelerator.
Incorrect Answers
B:This alternative is relevant to Redundant PSU and power path failure replacement but does not directly resolve the current GPU ECC and memory reliability diagnosis issue: Power-supply redundancy protects uptime only when remaining units and external feeds support actual operating demand. Observed scenario: An engineer clears error counters without collecting the history of a suspected failing accelerator.
C:This alternative is relevant to GPU and NVSwitch field replaceable component workflow but does not directly resolve the current GPU ECC and memory reliability diagnosis issue: GPU and switch field replacement changes hardware identity and fabric behavior and requires safety and validation steps. Observed scenario: An engineer clears error counters without collecting the history of a suspected failing accelerator.
D:This tempting but unsafe shortcut is not a sufficient remediation for GPU ECC and memory reliability diagnosis: Declare uncorrectable GPU memory faults harmless because the system still lists the accelerator in nvidia-smi. An engineer clears error counters without collecting the history of a suspected failing accelerator. GPU memory error handling can mask or retire damaged regions; recurring serious errors require reliability assessment.
Question 1067
In a professional AI infrastructure deployment, a technician observes: An engineer clears error counters without collecting the history of a suspected failing accelerator. Which diagnostic evidence should be obtained FIRST to substantiate the likely fault or configuration gap? Select ONE best answer.
- Inspect PSU health LEDs or BMC alerts, output power, PDU branches, hot-swap procedure and failover event logs.
- Inspect nvidia-smi ECC history, DCGM alerts, remapped rows, Xid logs and stress test results.
- Inspect fan tachometer and BMC sensors, GPU temperature, throttle reasons, inlet mapping and workload timing.
- Declare uncorrectable GPU memory faults harmless because the system still lists the accelerator in nvidia-smi.
Explanation
Correct Answer
B:This is the direct operational evidence to investigate: Inspect nvidia-smi ECC history, DCGM alerts, remapped rows, Xid logs and stress test results. Observed scenario: An engineer clears error counters without collecting the history of a suspected failing accelerator.
Incorrect Answers
A:This alternative is relevant to Redundant PSU and power path failure replacement but does not directly resolve the current GPU ECC and memory reliability diagnosis issue: Inspect PSU health LEDs or BMC alerts, output power, PDU branches, hot-swap procedure and failover event logs. Observed scenario: An engineer clears error counters without collecting the history of a suspected failing accelerator.
C:This alternative is relevant to Fan faults and thermal throttling investigation but does not directly resolve the current GPU ECC and memory reliability diagnosis issue: Inspect fan tachometer and BMC sensors, GPU temperature, throttle reasons, inlet mapping and workload timing. Observed scenario: An engineer clears error counters without collecting the history of a suspected failing accelerator.
D:This tempting but unsafe shortcut is not a sufficient remediation for GPU ECC and memory reliability diagnosis: Declare uncorrectable GPU memory faults harmless because the system still lists the accelerator in nvidia-smi. Observed scenario: An engineer clears error counters without collecting the history of a suspected failing accelerator. The governing mechanism is: GPU memory error handling can mask or retire damaged regions; recurring serious errors require reliability assessment. The proportionate action is: Quarantine and diagnose affected GPUs using ECC, row-remap and diagnostic evidence before authorized repair or return.
Question 1068
The cluster operations team needs to evaluate this situation: An engineer clears error counters without collecting the history of a suspected failing accelerator. After corrective work, which observable result BEST confirms that the requirement is met? Select ONE best answer.
- The device either passes approved health criteria under load or is replaced with traceable fault closure.
- Declare uncorrectable GPU memory faults harmless because the system still lists the accelerator in nvidia-smi.
- The repaired path maintains intended negotiated performance with acceptable errors under repeated RDMA stress.
- The new component is correctly inventoried and passes supported compute and interconnect tests before rescheduling.
Explanation
Correct Answer
A:This is an observable verified result, not merely a claimed configuration change: The device either passes approved health criteria under load or is replaced with traceable fault closure. Observed scenario: An engineer clears error counters without collecting the history of a suspected failing accelerator.
Incorrect Answers
B:This tempting but unsafe shortcut is not a sufficient remediation for GPU ECC and memory reliability diagnosis: Declare uncorrectable GPU memory faults harmless because the system still lists the accelerator in nvidia-smi. Observed scenario: An engineer clears error counters without collecting the history of a suspected failing accelerator. The governing mechanism is: GPU memory error handling can mask or retire damaged regions; recurring serious errors require reliability assessment. The proportionate action is: Quarantine and diagnose affected GPUs using ECC, row-remap and diagnostic evidence before authorized repair or return. A direct check is: Inspect nvidia-smi ECC history, DCGM alerts, remapped rows, Xid logs and stress test results. The acceptance condition is: The device either passes approved health criteria under load or is replaced with traceable fault closure.
C:This alternative is relevant to Failed ConnectX HCA or port fault isolation but does not directly resolve the current GPU ECC and memory reliability diagnosis issue: The repaired path maintains intended negotiated performance with acceptable errors under repeated RDMA stress. Observed scenario: An engineer clears error counters without collecting the history of a suspected failing accelerator.
D:This alternative is relevant to GPU and NVSwitch field replaceable component workflow but does not directly resolve the current GPU ECC and memory reliability diagnosis issue: The new component is correctly inventoried and passes supported compute and interconnect tests before rescheduling. Observed scenario: An engineer clears error counters without collecting the history of a suspected failing accelerator.
Question 1069
At a multi-node AI infrastructure handoff, the team records: A distributed job crashes and the kernel log records a GPU Xid but the team changes storage permissions randomly. Which operational response is MOST appropriate to address the root issue? Select ONE best answer.
- Quarantine and diagnose affected GPUs using ECC, row-remap and diagnostic evidence before authorized repair or return.
- Measure locality and CPU-memory traffic, then use approved AMD platform NUMA and affinity settings for the workload.
- Correlate specific Xid codes and timing with GPU, driver, application and fabric evidence before remediation.
- Treat every Xid log entry as a universal instruction to replace the GPU without consulting its code or context.
Explanation
Correct Answer
C:This is an appropriate correction for NVIDIA GPU Xid event root cause isolation: Correlate specific Xid codes and timing with GPU, driver, application and fabric evidence before remediation. Observed scenario: A distributed job crashes and the kernel log records a GPU Xid but the team changes storage permissions randomly.
Incorrect Answers
A:This alternative is relevant to GPU ECC and memory reliability diagnosis but does not directly resolve the current NVIDIA GPU Xid event root cause isolation issue: Quarantine and diagnose affected GPUs using ECC, row-remap and diagnostic evidence before authorized repair or return. Observed scenario: A distributed job crashes and the kernel log records a GPU Xid but the team changes storage permissions randomly.
B:That option concerns AMD host CPU NUMA and memory tuning. NVIDIA Xid messages signal GPU-related errors with varying causes and severity; the exact code and context matter.
D:This tempting but unsafe shortcut is not a sufficient remediation for NVIDIA GPU Xid event root cause isolation: Treat every Xid log entry as a universal instruction to replace the GPU without consulting its code or context.
Question 1070
During an NVIDIA AI factory acceptance test, engineers discover: A distributed job crashes and the kernel log records a GPU Xid but the team changes storage permissions randomly. 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.
- Correlate specific Xid codes and timing with GPU, driver, application and fabric evidence before remediation.
- Treat every Xid log entry as a universal instruction to replace the GPU without consulting its code or context.
- Inspect nvidia-smi ECC history, DCGM alerts, remapped rows, Xid logs and stress test results.
- Evaluate protected storage layout, rebuild behavior, workload concurrency and sustained dataset throughput.
Explanation
Correct Answers
A:This is the direct operational evidence to investigate: Review kernel and NVIDIA Xid logs, driver version, concurrent workload, ECC state and vendor diagnostic guidance. Observed scenario: A distributed job crashes and the kernel log records a GPU Xid but the team changes storage permissions randomly.
B:This is an appropriate correction for NVIDIA GPU Xid event root cause isolation: Correlate specific Xid codes and timing with GPU, driver, application and fabric evidence before remediation. Observed scenario: A distributed job crashes and the kernel log records a GPU Xid but the team changes storage permissions randomly. The governing mechanism is: NVIDIA Xid messages signal GPU-related errors with varying causes and severity; the exact code and context matter.
Incorrect Answers
C:This tempting but unsafe shortcut is not a sufficient remediation for NVIDIA GPU Xid event root cause isolation: Treat every Xid log entry as a universal instruction to replace the GPU without consulting its code or context. NVIDIA Xid messages signal GPU-related errors with varying causes and severity; the exact code and context matter.
D:This alternative is relevant to GPU ECC and memory reliability diagnosis but does not directly resolve the current NVIDIA GPU Xid event root cause isolation issue: Inspect nvidia-smi ECC history, DCGM alerts, remapped rows, Xid logs and stress test results. Observed scenario: A distributed job crashes and the kernel log records a GPU Xid but the team changes storage permissions randomly.
E:This alternative is relevant to Storage array throughput and RAID or erasure recovery but does not directly resolve the current NVIDIA GPU Xid event root cause isolation issue: Evaluate protected storage layout, rebuild behavior, workload concurrency and sustained dataset throughput. Observed scenario: A distributed job crashes and the kernel log records a GPU Xid but the team changes storage permissions randomly.