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NCP-AII Questions & Answers
Exam Code: NCP-AII
Exam Name: NCP-AI Infrastructure
Certification Provider: NVIDIA
NCP-AII Premium File
170 Questions & Answers
Last Update: Nov 6, 2026
Includes questions types found on actual exam such as drag and drop, simulation, type in, and fill in the blank.
Verified by experts
NCP-AII Questions & Answers
Exam Code: NCP-AII
Exam Name: NCP-AI Infrastructure
Certification Provider: NVIDIA
NCP-AII Premium File
170 Questions & Answers
Last Update: Nov 6, 2026
Includes questions types found on actual exam such as drag and drop, simulation, type in, and fill in the blank.
$87.99
$79.99

NCP-AI Infrastructure NCP-AII Practice Test 58

Question 570

The site has performed 'perform extended qualified HPL burn-in under hardware monitoring'. Which direct result is needed to close this issue rather than merely check a configuration?

  1. result logs show the full planned active duration with no interruption
  2. clocks and FLOPS remain consistent after thermal equilibrium
  3. report contains compatible settings and reproduced performance within tolerance
  4. the full planned interval completes with valid residual and no reset

Explanation

Correct Answer

D:

Correct. This is observable proof for the intended change, not just evidence that a command was issued. It establishes the full planned interval completes with valid residual and no reset, addressing short HPL runs did not test sustained power thermal and memory stability.

Incorrect Answers

A:

“result logs show the full planned active duration with no interruption” addresses the validation run did not maintain uninterrupted stress for the required duration, but the current hardware or infrastructure issue is short HPL runs did not test sustained power thermal and memory stability. The option “the full planned interval completes with valid residual and no reset” is more directly tied to the required outcome.

B:

“clocks and FLOPS remain consistent after thermal equilibrium” addresses sustained matrix performance is limited by thermal throttling, but the current hardware or infrastructure issue is short HPL runs did not test sustained power thermal and memory stability. The option “the full planned interval completes with valid residual and no reset” is more directly tied to the required outcome.

C:

“report contains compatible settings and reproduced performance within tolerance” addresses power-policy differences prevent reliable comparison of sustained performance, but the current hardware or infrastructure issue is short HPL runs did not test sustained power thermal and memory stability. The option “the full planned interval completes with valid residual and no reset” is more directly tied to the required outcome.

Question 571

An operator reports that HPL burn-in passed although the matrix solution residual failed during later iterations. Which corrective action is MOST appropriate before commissioning can proceed?

  1. correlate full-cluster HPL burn-in with rack and feed measurements
  2. investigate node cooling and log steady-state GPU clock and temperature
  3. inspect accuracy checks and reject runs with invalid residual
  4. capture clock power and thermal settings alongside each burn-in record

Explanation

Correct Answer

C:

Correct. The underlying problem is numerical validity is a required condition throughout performance acceptance. This intervention targets that mechanism. Confirm completion through repeat extended HPL returns correct numerical solution at every required stage.

Incorrect Answers

A:

Useful for combined electrical headroom was not exercised under synchronized compute duty, but it does not remove the specific condition: numerical validity is a required condition throughout performance acceptance.

B:

“investigate node cooling and log steady-state GPU clock and temperature” addresses sustained matrix performance is limited by thermal throttling, but the current hardware or infrastructure issue is numerical validity is a required condition throughout performance acceptance. The option “inspect accuracy checks and reject runs with invalid residual” is more directly tied to the required outcome.

D:

“capture clock power and thermal settings alongside each burn-in record” addresses power-policy differences prevent reliable comparison of sustained performance, but the current hardware or infrastructure issue is numerical validity is a required condition throughout performance acceptance. The option “inspect accuracy checks and reject runs with invalid residual” is more directly tied to the required outcome.

Question 572

The implementation team reports that it has completed 'inspect accuracy checks and reject runs with invalid residual'. Which evidence should the acceptance reviewer request?

  1. completed replacement or remediation yields error-free full-duration HPL
  2. sustained multi-node HPL load stays below site power limits
  3. repeat extended HPL returns correct numerical solution at every required stage
  4. clocks and FLOPS remain consistent after thermal equilibrium

Explanation

Correct Answer

C:

Correct. It specifically tests the outcome of the approved remediation. The failure mechanism was numerical validity is a required condition throughout performance acceptance; the listed result demonstrates the expected behavior.

Incorrect Answers

A:

“completed replacement or remediation yields error-free full-duration HPL” addresses latent memory faults are surfacing during repeated compute and memory stress, but the current hardware or infrastructure issue is numerical validity is a required condition throughout performance acceptance. The option “repeat extended HPL returns correct numerical solution at every required stage” is more directly tied to the required outcome.

B:

“sustained multi-node HPL load stays below site power limits” addresses combined electrical headroom was not exercised under synchronized compute duty, but the current hardware or infrastructure issue is numerical validity is a required condition throughout performance acceptance. The option “repeat extended HPL returns correct numerical solution at every required stage” is more directly tied to the required outcome.

D:

“clocks and FLOPS remain consistent after thermal equilibrium” addresses sustained matrix performance is limited by thermal throttling, but the current hardware or infrastructure issue is numerical validity is a required condition throughout performance acceptance. The option “repeat extended HPL returns correct numerical solution at every required stage” is more directly tied to the required outcome.

Question 573

An NVIDIA infrastructure team reports this operational finding: a cluster-level HPL test fails only when all nodes draw peak power at once. Which action MOST directly addresses it?

  1. correlate full-cluster HPL burn-in with rack and feed measurements
  2. perform extended qualified HPL burn-in under hardware monitoring
  3. rerun the entire approved continuous HPL burn-in interval
  4. compare HPL.dat versions driver runtime and NUMA affinity across cohorts

Explanation

Correct Answer

A:

Correct. The underlying problem is combined electrical headroom was not exercised under synchronized compute duty. This intervention targets that mechanism. Confirm completion through sustained multi-node HPL load stays below site power limits.

Incorrect Answers

B:

“perform extended qualified HPL burn-in under hardware monitoring” addresses short HPL runs did not test sustained power thermal and memory stability, but the current hardware or infrastructure issue is combined electrical headroom was not exercised under synchronized compute duty. The option “correlate full-cluster HPL burn-in with rack and feed measurements” is more directly tied to the required outcome.

C:

Useful for the validation run did not maintain uninterrupted stress for the required duration, but it does not remove the specific condition: combined electrical headroom was not exercised under synchronized compute duty.

D:

“compare HPL.dat versions driver runtime and NUMA affinity across cohorts” addresses node software or affinity settings produce inconsistent compute efficiency, but the current hardware or infrastructure issue is combined electrical headroom was not exercised under synchronized compute duty. The option “correlate full-cluster HPL burn-in with rack and feed measurements” is more directly tied to the required outcome.

Question 574

An engineer claims the change 'correlate full-cluster HPL burn-in with rack and feed measurements' restored readiness. Which measurable test result would substantiate that claim?

  1. completed replacement or remediation yields error-free full-duration HPL
  2. sustained multi-node HPL load stays below site power limits
  3. repeat extended HPL returns correct numerical solution at every required stage
  4. normalized per-node results converge within approved performance variance

Explanation

Correct Answer

B:

Correct. The test directly checks whether combined electrical headroom was not exercised under synchronized compute duty has been remediated. That result supports operational acceptance rather than only configuration presence.

Incorrect Answers

A:

“completed replacement or remediation yields error-free full-duration HPL” addresses latent memory faults are surfacing during repeated compute and memory stress, but the current hardware or infrastructure issue is combined electrical headroom was not exercised under synchronized compute duty. The option “sustained multi-node HPL load stays below site power limits” is more directly tied to the required outcome.

C:

“repeat extended HPL returns correct numerical solution at every required stage” addresses numerical validity is a required condition throughout performance acceptance, but the current hardware or infrastructure issue is combined electrical headroom was not exercised under synchronized compute duty. The option “sustained multi-node HPL load stays below site power limits” is more directly tied to the required outcome.

D:

“normalized per-node results converge within approved performance variance” addresses node software or affinity settings produce inconsistent compute efficiency, but the current hardware or infrastructure issue is combined electrical headroom was not exercised under synchronized compute duty. The option “sustained multi-node HPL load stays below site power limits” is more directly tied to the required outcome.

Question 575

A validation report notes: an HPL burn-in run slows after its initial warm-up because GPU temperatures climb above qualified limits. What is the MOST defensible next action?

  1. capture clock power and thermal settings alongside each burn-in record
  2. inspect accuracy checks and reject runs with invalid residual
  3. investigate node cooling and log steady-state GPU clock and temperature
  4. check GPU ECC events and isolate the suspected memory device

Explanation

Correct Answer

C:

Correct. The underlying problem is sustained matrix performance is limited by thermal throttling. This intervention targets that mechanism. Confirm completion through clocks and FLOPS remain consistent after thermal equilibrium.

Incorrect Answers

A:

Useful for power-policy differences prevent reliable comparison of sustained performance, but it does not remove the specific condition: sustained matrix performance is limited by thermal throttling.

B:

“inspect accuracy checks and reject runs with invalid residual” addresses numerical validity is a required condition throughout performance acceptance, but the current hardware or infrastructure issue is sustained matrix performance is limited by thermal throttling. The option “investigate node cooling and log steady-state GPU clock and temperature” is more directly tied to the required outcome.

D:

“check GPU ECC events and isolate the suspected memory device” addresses latent memory faults are surfacing during repeated compute and memory stress, but the current hardware or infrastructure issue is sustained matrix performance is limited by thermal throttling. The option “investigate node cooling and log steady-state GPU clock and temperature” is more directly tied to the required outcome.

Question 576

The site has performed 'investigate node cooling and log steady-state GPU clock and temperature'. Which direct result is needed to close this issue rather than merely check a configuration?

  1. report contains compatible settings and reproduced performance within tolerance
  2. the full planned interval completes with valid residual and no reset
  3. repeat extended HPL returns correct numerical solution at every required stage
  4. clocks and FLOPS remain consistent after thermal equilibrium

Explanation

Correct Answer

D:

Correct. The test directly checks whether sustained matrix performance is limited by thermal throttling has been remediated. That result supports operational acceptance rather than only configuration presence.

Incorrect Answers

A:

“report contains compatible settings and reproduced performance within tolerance” addresses power-policy differences prevent reliable comparison of sustained performance, but the current hardware or infrastructure issue is sustained matrix performance is limited by thermal throttling. The option “clocks and FLOPS remain consistent after thermal equilibrium” is more directly tied to the required outcome.

B:

“the full planned interval completes with valid residual and no reset” addresses short HPL runs did not test sustained power thermal and memory stability, but the current hardware or infrastructure issue is sustained matrix performance is limited by thermal throttling. The option “clocks and FLOPS remain consistent after thermal equilibrium” is more directly tied to the required outcome.

C:

“repeat extended HPL returns correct numerical solution at every required stage” addresses numerical validity is a required condition throughout performance acceptance, but the current hardware or infrastructure issue is sustained matrix performance is limited by thermal throttling. The option “clocks and FLOPS remain consistent after thermal equilibrium” is more directly tied to the required outcome.

Question 577

Different node groups report widely varying HPL burn-in performance with identical nominal GPU counts. Which corrective action is MOST appropriate before commissioning can proceed?

  1. correlate full-cluster HPL burn-in with rack and feed measurements
  2. check GPU ECC events and isolate the suspected memory device
  3. investigate node cooling and log steady-state GPU clock and temperature
  4. compare HPL.dat versions driver runtime and NUMA affinity across cohorts

Explanation

Correct Answer

D:

Correct. The incident follows from node software or affinity settings produce inconsistent compute efficiency. This action changes the failing dependency, with normalized per-node results converge within approved performance variance as a measurable success criterion.

Incorrect Answers

A:

“correlate full-cluster HPL burn-in with rack and feed measurements” addresses combined electrical headroom was not exercised under synchronized compute duty, but the current hardware or infrastructure issue is node software or affinity settings produce inconsistent compute efficiency. The option “compare HPL.dat versions driver runtime and NUMA affinity across cohorts” is more directly tied to the required outcome.

B:

“check GPU ECC events and isolate the suspected memory device” addresses latent memory faults are surfacing during repeated compute and memory stress, but the current hardware or infrastructure issue is node software or affinity settings produce inconsistent compute efficiency. The option “compare HPL.dat versions driver runtime and NUMA affinity across cohorts” is more directly tied to the required outcome.

C:

Useful for sustained matrix performance is limited by thermal throttling, but it does not remove the specific condition: node software or affinity settings produce inconsistent compute efficiency.

Question 578

The implementation team reports that it has completed 'compare HPL.dat versions driver runtime and NUMA affinity across cohorts'. Which evidence should the acceptance reviewer request?

  1. report contains compatible settings and reproduced performance within tolerance
  2. sustained multi-node HPL load stays below site power limits
  3. completed replacement or remediation yields error-free full-duration HPL
  4. normalized per-node results converge within approved performance variance

Explanation

Correct Answer

D:

Correct. This is observable proof for the intended change, not just evidence that a command was issued. It establishes normalized per-node results converge within approved performance variance, addressing node software or affinity settings produce inconsistent compute efficiency.

Incorrect Answers

A:

“report contains compatible settings and reproduced performance within tolerance” addresses power-policy differences prevent reliable comparison of sustained performance, but the current hardware or infrastructure issue is node software or affinity settings produce inconsistent compute efficiency. The option “normalized per-node results converge within approved performance variance” is more directly tied to the required outcome.

B:

“sustained multi-node HPL load stays below site power limits” addresses combined electrical headroom was not exercised under synchronized compute duty, but the current hardware or infrastructure issue is node software or affinity settings produce inconsistent compute efficiency. The option “normalized per-node results converge within approved performance variance” is more directly tied to the required outcome.

C:

“completed replacement or remediation yields error-free full-duration HPL” addresses latent memory faults are surfacing during repeated compute and memory stress, but the current hardware or infrastructure issue is node software or affinity settings produce inconsistent compute efficiency. The option “normalized per-node results converge within approved performance variance” is more directly tied to the required outcome.

Question 579

An NVIDIA infrastructure team reports this operational finding: an HPL loop is interrupted by a scheduled OS reboot but operators count elapsed wall time as completed burn-in. Which action MOST directly addresses it?

  1. perform extended qualified HPL burn-in under hardware monitoring
  2. correlate full-cluster HPL burn-in with rack and feed measurements
  3. rerun the entire approved continuous HPL burn-in interval
  4. check GPU ECC events and isolate the suspected memory device

Explanation

Correct Answer

C:

Correct. The underlying problem is the validation run did not maintain uninterrupted stress for the required duration. This intervention targets that mechanism. Confirm completion through result logs show the full planned active duration with no interruption.

Incorrect Answers

A:

Useful for short HPL runs did not test sustained power thermal and memory stability, but it does not remove the specific condition: the validation run did not maintain uninterrupted stress for the required duration.

B:

“correlate full-cluster HPL burn-in with rack and feed measurements” addresses combined electrical headroom was not exercised under synchronized compute duty, but the current hardware or infrastructure issue is the validation run did not maintain uninterrupted stress for the required duration. The option “rerun the entire approved continuous HPL burn-in interval” is more directly tied to the required outcome.

D:

“check GPU ECC events and isolate the suspected memory device” addresses latent memory faults are surfacing during repeated compute and memory stress, but the current hardware or infrastructure issue is the validation run did not maintain uninterrupted stress for the required duration. The option “rerun the entire approved continuous HPL burn-in interval” is more directly tied to the required outcome.

Question 580

An engineer claims the change 'rerun the entire approved continuous HPL burn-in interval' restored readiness. Which measurable test result would substantiate that claim?

  1. the full planned interval completes with valid residual and no reset
  2. result logs show the full planned active duration with no interruption
  3. repeat extended HPL returns correct numerical solution at every required stage
  4. sustained multi-node HPL load stays below site power limits

Explanation

Correct Answer

B:

Correct. This is observable proof for the intended change, not just evidence that a command was issued. It establishes result logs show the full planned active duration with no interruption, addressing the validation run did not maintain uninterrupted stress for the required duration.

Incorrect Answers

A:

“the full planned interval completes with valid residual and no reset” addresses short HPL runs did not test sustained power thermal and memory stability, but the current hardware or infrastructure issue is the validation run did not maintain uninterrupted stress for the required duration. The option “result logs show the full planned active duration with no interruption” is more directly tied to the required outcome.

C:

“repeat extended HPL returns correct numerical solution at every required stage” addresses numerical validity is a required condition throughout performance acceptance, but the current hardware or infrastructure issue is the validation run did not maintain uninterrupted stress for the required duration. The option “result logs show the full planned active duration with no interruption” is more directly tied to the required outcome.

D:

“sustained multi-node HPL load stays below site power limits” addresses combined electrical headroom was not exercised under synchronized compute duty, but the current hardware or infrastructure issue is the validation run did not maintain uninterrupted stress for the required duration. The option “result logs show the full planned active duration with no interruption” is more directly tied to the required outcome.

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