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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.

  1. Declare uncorrectable GPU memory faults harmless because the system still lists the accelerator in nvidia-smi.
  2. Quarantine and diagnose affected GPUs using ECC, row-remap and diagnostic evidence before authorized repair or return.
  3. Inspect fan tachometer and BMC sensors, GPU temperature, throttle reasons, inlet mapping and workload timing.
  4. Drain workloads and follow the vendor's approved component replacement, firmware and postrepair diagnostic runbook.
  5. 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.

  1. Profile representative file access, mount options, caches and pipeline parallelism before tuning or scaling storage.
  2. Declare uncorrectable GPU memory faults harmless because the system still lists the accelerator in nvidia-smi.
  3. Quarantine and diagnose affected GPUs using ECC, row-remap and diagnostic evidence before authorized repair or return.
  4. 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.

  1. GPU clock and performance stability depend on sufficient chassis cooling and supported thermal operating envelope.
  2. Server CPU socket topology, PCIe lane allocation and memory access shape the efficiency of host-to-GPU transfers.
  3. Declare uncorrectable GPU memory faults harmless because the system still lists the accelerator in nvidia-smi.
  4. 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.

  1. Inspect nvidia-smi ECC history, DCGM alerts, remapped rows, Xid logs and stress test results.
  2. Inspect array fault state, protection topology, rebuild progress, queue depth, and read-write benchmark trends.
  3. Inspect fan tachometer and BMC sensors, GPU temperature, throttle reasons, inlet mapping and workload timing.
  4. 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.

  1. The repaired node sustains approved clocks and performance with normal fan state under representative load.
  2. Intended GPU and NIC paths deliver stable accepted bandwidth and CPU overhead under sustained representative load.
  3. The device either passes approved health criteria under load or is replaced with traceable fault closure.
  4. 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.

  1. Declare uncorrectable GPU memory faults harmless because the system still lists the accelerator in nvidia-smi.
  2. Drain workloads and follow the vendor's approved component replacement, firmware and postrepair diagnostic runbook.
  3. Isolate the failed power path, verify redundancy budget and follow supported PSU replacement with monitoring.
  4. 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.

  1. GPU memory error handling can mask or retire damaged regions; recurring serious errors require reliability assessment.
  2. Power-supply redundancy protects uptime only when remaining units and external feeds support actual operating demand.
  3. GPU and switch field replacement changes hardware identity and fabric behavior and requires safety and validation steps.
  4. 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.

  1. Inspect PSU health LEDs or BMC alerts, output power, PDU branches, hot-swap procedure and failover event logs.
  2. Inspect nvidia-smi ECC history, DCGM alerts, remapped rows, Xid logs and stress test results.
  3. Inspect fan tachometer and BMC sensors, GPU temperature, throttle reasons, inlet mapping and workload timing.
  4. 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.

  1. The device either passes approved health criteria under load or is replaced with traceable fault closure.
  2. Declare uncorrectable GPU memory faults harmless because the system still lists the accelerator in nvidia-smi.
  3. The repaired path maintains intended negotiated performance with acceptable errors under repeated RDMA stress.
  4. 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.

  1. Quarantine and diagnose affected GPUs using ECC, row-remap and diagnostic evidence before authorized repair or return.
  2. Measure locality and CPU-memory traffic, then use approved AMD platform NUMA and affinity settings for the workload.
  3. Correlate specific Xid codes and timing with GPU, driver, application and fabric evidence before remediation.
  4. 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.

  1. Review kernel and NVIDIA Xid logs, driver version, concurrent workload, ECC state and vendor diagnostic guidance.
  2. Correlate specific Xid codes and timing with GPU, driver, application and fabric evidence before remediation.
  3. Treat every Xid log entry as a universal instruction to replace the GPU without consulting its code or context.
  4. Inspect nvidia-smi ECC history, DCGM alerts, remapped rows, Xid logs and stress test results.
  5. 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.

NCP-AI Infrastructure (NCP-AII) Practice Tests