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Exam Code: NCP-AII

Exam Name: NCP-AI Infrastructure

Certification Provider: NVIDIA

Questions & Answers

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"NCP-AI Infrastructure Exam", also known as NCP-AII exam, is a NVIDIA certification exam.

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NVIDIA NCP-AII Practice Test 6

Question 50

An infrastructure administrator receives the following incident: A contractor uses an all-powerful shared BMC account during a GPU rack installation, and later no one can determine who performed a remote power cycle. Which measured result most directly proves that this specific problem is resolved?

  1. The attestation log matches the expected firmware and boot chain, while an intentionally altered baseline is rejected or escalated.
  2. A test technician can execute only permitted BMC tasks and each administrative action is attributable to a distinct authorized principal.
  3. Disconnecting both host data uplinks still permits an authorized administrator to inspect hardware alerts through the OOB management network.
  4. Restoring a validated compatibility setting returns expected PCIe link width without replacing a healthy accelerator.

Explanation

Correct Answer

B:

This is the measurable acceptance result for the described case: A test technician can execute only permitted BMC tasks and each administrative action is attributable to a distinct authorized principal. It validates the corrective operation (Replace shared privileged access with named role-scoped identities and centralized authentication and audit logging where supported.) rather than a related but different system check.

Incorrect Answers

A:

This observation would help verify a different incident: An AI appliance is deployed with measured boot enabled but platform ownership and TPM-backed trust measurements were never recorded. It does not directly establish the required result for the current case: A test technician can execute only permitted BMC tasks and each administrative action is attributable to a distinct authorized principal.

C:

This observation would help verify a different incident: A rack has a functioning GPU data fabric but its remote operators cannot reach the BMC after a workload network outage. It does not directly establish the required result for the current case: A test technician can execute only permitted BMC tasks and each administrative action is attributable to a distinct authorized principal.

D:

This observation would help verify a different incident: A GPU server presents PCIe link-width degradation immediately after a platform firmware change, but technicians plan to replace the accelerator first. It does not directly establish the required result for the current case: A test technician can execute only permitted BMC tasks and each administrative action is attributable to a distinct authorized principal.

Question 51

An infrastructure administrator receives the following incident: A contractor uses an all-powerful shared BMC account during a GPU rack installation, and later no one can determine who performed a remote power cycle. Which root cause or infrastructure principle best explains the observed failure?

  1. Address collisions in the management network make remote recovery and diagnostic attribution unreliable.
  2. An out-of-band label is meaningless if management traffic depends on the same path as the failed data plane.
  3. Missing telemetry can reflect access or software integration gaps rather than healthy accelerator hardware.
  4. Unattributed shared management access undermines accountability over sensitive physical server functions.

Explanation

Correct Answer

D:

This technical mechanism explains the reported condition: Unattributed shared management access undermines accountability over sensitive physical server functions. The observed situation is: A contractor uses an all-powerful shared BMC account during a GPU rack installation, and later no one can determine who performed a remote power cycle. A requirement-aligned correction is: Replace shared privileged access with named role-scoped identities and centralized authentication and audit logging where supported.

Incorrect Answers

A:

This underlying cause is associated with another GPU platform incident: Two BMC controllers ship with duplicate static management addresses and the cluster monitoring system alternately attributes temperature alarms to the wrong chassis. The observed case instead concerns: Unattributed shared management access undermines accountability over sensitive physical server functions.

B:

This underlying cause is associated with another GPU platform incident: A rack has a functioning GPU data fabric but its remote operators cannot reach the BMC after a workload network outage. The observed case instead concerns: Unattributed shared management access undermines accountability over sensitive physical server functions.

C:

This underlying cause is associated with another GPU platform incident: A monitoring agent reports no GPU errors because its account cannot access the required driver interfaces, while local `nvidia-smi` output reveals active device faults. The observed case instead concerns: Unattributed shared management access undermines accountability over sensitive physical server functions.

Question 52

An infrastructure administrator receives the following incident: A contractor uses an all-powerful shared BMC account during a GPU rack installation, and later no one can determine who performed a remote power cycle. Which repeatable operational safeguard best prevents recurrence of this failure?

  1. Validate BMC addressing and device identity as an automated part of first-stage provisioning.
  2. Review BMC privileged roles and revoke temporary commissioning accounts when vendor handover closes.
  3. Require hardened BMC initialization with credential rotation and network isolation in the rack acceptance checklist.
  4. Validate part compatibility and power fault resilience during serialized hardware inventory acceptance.

Explanation

Correct Answer

B:

This preventive practice addresses the underlying failure (Unattributed shared management access undermines accountability over sensitive physical server functions.) and supports continued assurance through: A test technician can execute only permitted BMC tasks and each administrative action is attributable to a distinct authorized principal.

Incorrect Answers

A:

This prevention control targets another operational risk: Two BMC controllers ship with duplicate static management addresses and the cluster monitoring system alternately attributes temperature alarms to the wrong chassis. The currently reported mechanism remains: Unattributed shared management access undermines accountability over sensitive physical server functions.

C:

This prevention control targets another operational risk: A newly received DGX-class server has default BMC credentials and its management interface is reachable from the general campus network. The currently reported mechanism remains: Unattributed shared management access undermines accountability over sensitive physical server functions.

D:

This prevention control targets another operational risk: A recently delivered accelerator system has inconsistent PSU models across sibling nodes, and unexpected power alarms occur only during high utilization. The currently reported mechanism remains: Unattributed shared management access undermines accountability over sensitive physical server functions.

Question 53

An NVIDIA accelerator platform readiness review identifies this issue: Firmware is upgraded on only half of the HGX nodes, after which GPU fabric health alerts appear only when training jobs span both firmware cohorts. Which corrective deployment or operational action best addresses the stated problem?

  1. Collect BMC event logs, NVSM or equivalent platform health data, and firmware fault counters before resetting the suspect node.
  2. Obtain firmware through approved vendor channels and validate cryptographic integrity and applicability before flashing the platform.
  3. Configure unique BMC credentials, isolated out-of-band addressing, role-limited access, and an audited first-login process.
  4. Inventory the mixed firmware components and execute a compatibility-tested phased upgrade with coherent release baselines.

Explanation

Correct Answer

D:

For the stated NVIDIA AI infrastructure condition (Firmware is upgraded on only half of the HGX nodes, after which GPU fabric health alerts appear only when training jobs span both firmware cohorts.), this action addresses the concrete failure: Inventory the mixed firmware components and execute a compatibility-tested phased upgrade with coherent release baselines. The underlying mechanism is: Version drift across GPU, baseboard, and fabric components can create cluster-level faults absent on isolated nodes. Verification would require: Cross-cohort diagnostics match approved versions and a distributed collective test no longer reports firmware-associated communication instability.

Incorrect Answers

A:

This option could be appropriate for a different NVIDIA infrastructure problem (1.4: Perform firmware upgrades including on NVIDIA HGX and detect faults): A node intermittently disappears during large CUDA workloads, but the only retained evidence is the operating-system kernel log after it has rebooted. The present issue is more specifically caused by: Version drift across GPU, baseboard, and fabric components can create cluster-level faults absent on isolated nodes.

B:

This option could be appropriate for a different NVIDIA infrastructure problem (1.4: Perform firmware upgrades including on NVIDIA HGX and detect faults): An AI factory receives firmware packages from an emailed archive without checking their source or signature, exposing management processors to untrusted code. The present issue is more specifically caused by: Version drift across GPU, baseboard, and fabric components can create cluster-level faults absent on isolated nodes.

C:

This option could be appropriate for a different NVIDIA infrastructure problem (1.3: Perform initial configuration of BMC, out-of-band management, and TPM): A newly received DGX-class server has default BMC credentials and its management interface is reachable from the general campus network. The present issue is more specifically caused by: Version drift across GPU, baseboard, and fabric components can create cluster-level faults absent on isolated nodes.

Question 54

An NVIDIA accelerator platform readiness review identifies this issue: Firmware is upgraded on only half of the HGX nodes, after which GPU fabric health alerts appear only when training jobs span both firmware cohorts. Which measured result most directly proves that this specific problem is resolved?

  1. A repeated failure correlates a device or thermal event across independent management logs and host telemetry with preserved timestamps.
  2. An intentionally modified update package is rejected and the installed version is traceable to an approved artifact manifest.
  3. Cross-cohort diagnostics match approved versions and a distributed collective test no longer reports firmware-associated communication instability.
  4. An audit of randomly selected servers reconstructs delivery batch, firmware baseline, cabling check, and final approval without ambiguity.

Explanation

Correct Answer

C:

This is the measurable acceptance result for the described case: Cross-cohort diagnostics match approved versions and a distributed collective test no longer reports firmware-associated communication instability. It validates the corrective operation (Inventory the mixed firmware components and execute a compatibility-tested phased upgrade with coherent release baselines.) rather than a related but different system check.

Incorrect Answers

A:

This observation would help verify a different incident: A node intermittently disappears during large CUDA workloads, but the only retained evidence is the operating-system kernel log after it has rebooted. It does not directly establish the required result for the current case: Cross-cohort diagnostics match approved versions and a distributed collective test no longer reports firmware-associated communication instability.

B:

This observation would help verify a different incident: An AI factory receives firmware packages from an emailed archive without checking their source or signature, exposing management processors to untrusted code. It does not directly establish the required result for the current case: Cross-cohort diagnostics match approved versions and a distributed collective test no longer reports firmware-associated communication instability.

D:

This observation would help verify a different incident: A supplier delivers AI servers in two waves, but operators mix acceptance logs and cannot tell which batch received the corrective firmware update. It does not directly establish the required result for the current case: Cross-cohort diagnostics match approved versions and a distributed collective test no longer reports firmware-associated communication instability.

Question 55

An NVIDIA accelerator platform readiness review identifies this issue: Firmware is upgraded on only half of the HGX nodes, after which GPU fabric health alerts appear only when training jobs span both firmware cohorts. Which root cause or infrastructure principle best explains the observed failure?

  1. Version drift across GPU, baseboard, and fabric components can create cluster-level faults absent on isolated nodes.
  2. Parallel management-controller upgrades enlarge the blast radius of an otherwise localized firmware defect.
  3. Hardware-level errors may survive or precede OS logging and require out-of-band diagnostic evidence for root cause.
  4. A GPU can enumerate locally while its high-speed peer connections remain physically incomplete.

Explanation

Correct Answer

A:

This technical mechanism explains the reported condition: Version drift across GPU, baseboard, and fabric components can create cluster-level faults absent on isolated nodes. The observed situation is: Firmware is upgraded on only half of the HGX nodes, after which GPU fabric health alerts appear only when training jobs span both firmware cohorts. A requirement-aligned correction is: Inventory the mixed firmware components and execute a compatibility-tested phased upgrade with coherent release baselines.

Incorrect Answers

B:

This underlying cause is associated with another GPU platform incident: An operator initiates simultaneous BMC firmware updates on every host, eliminating the team's ability to recover remote power controls if the update fails. The observed case instead concerns: Version drift across GPU, baseboard, and fabric components can create cluster-level faults absent on isolated nodes.

C:

This underlying cause is associated with another GPU platform incident: A node intermittently disappears during large CUDA workloads, but the only retained evidence is the operating-system kernel log after it has rebooted. The observed case instead concerns: Version drift across GPU, baseboard, and fabric components can create cluster-level faults absent on isolated nodes.

D:

This underlying cause is associated with another GPU platform incident: A GPU tray is installed after maintenance but one high-speed interconnect bridge remains loose, causing cross-GPU collective tests to fail. The observed case instead concerns: Version drift across GPU, baseboard, and fabric components can create cluster-level faults absent on isolated nodes.

Question 56

An NVIDIA accelerator platform readiness review identifies this issue: Firmware is upgraded on only half of the HGX nodes, after which GPU fabric health alerts appear only when training jobs span both firmware cohorts. Which repeatable operational safeguard best prevents recurrence of this failure?

  1. Enforce signed firmware acquisition, change approval, and postflash version verification on all management platforms.
  2. Capture pre- and post-update slot, link, and device health baselines for every firmware rollout.
  3. Pin and validate a tested firmware matrix before scaling HGX infrastructure.
  4. Model collective communication patterns and validate oversubscription before approving an AI factory topology.

Explanation

Correct Answer

C:

This preventive practice addresses the underlying failure (Version drift across GPU, baseboard, and fabric components can create cluster-level faults absent on isolated nodes.) and supports continued assurance through: Cross-cohort diagnostics match approved versions and a distributed collective test no longer reports firmware-associated communication instability.

Incorrect Answers

A:

This prevention control targets another operational risk: An AI factory receives firmware packages from an emailed archive without checking their source or signature, exposing management processors to untrusted code. The currently reported mechanism remains: Version drift across GPU, baseboard, and fabric components can create cluster-level faults absent on isolated nodes.

B:

This prevention control targets another operational risk: A GPU server presents PCIe link-width degradation immediately after a platform firmware change, but technicians plan to replace the accelerator first. The currently reported mechanism remains: Version drift across GPU, baseboard, and fabric components can create cluster-level faults absent on isolated nodes.

D:

This prevention control targets another operational risk: A training farm connects every GPU node through one oversubscribed top-of-rack switch even though collective jobs exchange large volumes of east-west gradients. The currently reported mechanism remains: Version drift across GPU, baseboard, and fabric components can create cluster-level faults absent on isolated nodes.

Question 57

During a GPU datacenter maintenance window, an engineer discovers: An operator initiates simultaneous BMC firmware updates on every host, eliminating the team's ability to recover remote power controls if the update fails. Which corrective deployment or operational action best addresses the stated problem?

  1. Deploy firmware in canary batches with out-of-band rollback and physical access plans for controllers that fail to restart.
  2. Compare hardware inventory and PCIe training telemetry with the known-good firmware baseline before approving component replacement.
  3. Obtain firmware through approved vendor channels and validate cryptographic integrity and applicability before flashing the platform.
  4. Compare physical slot and cable seating with PCIe enumeration and NVIDIA SMI device identifiers before running training.

Explanation

Correct Answer

A:

For the stated NVIDIA AI infrastructure condition (An operator initiates simultaneous BMC firmware updates on every host, eliminating the team's ability to recover remote power controls if the update fails.), this action addresses the concrete failure: Deploy firmware in canary batches with out-of-band rollback and physical access plans for controllers that fail to restart. The underlying mechanism is: Parallel management-controller upgrades enlarge the blast radius of an otherwise localized firmware defect. Verification would require: A deliberately interrupted canary is recovered without losing management of the remaining production nodes.

Incorrect Answers

B:

This option could be appropriate for a different NVIDIA infrastructure problem (1.4: Perform firmware upgrades including on NVIDIA HGX and detect faults): A GPU server presents PCIe link-width degradation immediately after a platform firmware change, but technicians plan to replace the accelerator first. The present issue is more specifically caused by: Parallel management-controller upgrades enlarge the blast radius of an otherwise localized firmware defect.

C:

This option could be appropriate for a different NVIDIA infrastructure problem (1.4: Perform firmware upgrades including on NVIDIA HGX and detect faults): An AI factory receives firmware packages from an emailed archive without checking their source or signature, exposing management processors to untrusted code. The present issue is more specifically caused by: Parallel management-controller upgrades enlarge the blast radius of an otherwise localized firmware defect.

D:

This option could be appropriate for a different NVIDIA infrastructure problem (1.6: Install GPU-based servers and use NVIDIA SMI): A server inventory says eight GPUs should be installed, but one accelerator intermittently disappears only after the chassis is moved between racks. The present issue is more specifically caused by: Parallel management-controller upgrades enlarge the blast radius of an otherwise localized firmware defect.

Question 58

During a GPU datacenter maintenance window, an engineer discovers: An operator initiates simultaneous BMC firmware updates on every host, eliminating the team's ability to recover remote power controls if the update fails. Which measured result most directly proves that this specific problem is resolved?

  1. A deliberately interrupted canary is recovered without losing management of the remaining production nodes.
  2. An intentionally modified update package is rejected and the installed version is traceable to an approved artifact manifest.
  3. A repeated failure correlates a device or thermal event across independent management logs and host telemetry with preserved timestamps.
  4. A controlled removal of either designated supply path preserves protected host operation and a documented power alarm is raised.

Explanation

Correct Answer

A:

This is the measurable acceptance result for the described case: A deliberately interrupted canary is recovered without losing management of the remaining production nodes. It validates the corrective operation (Deploy firmware in canary batches with out-of-band rollback and physical access plans for controllers that fail to restart.) rather than a related but different system check.

Incorrect Answers

B:

This observation would help verify a different incident: An AI factory receives firmware packages from an emailed archive without checking their source or signature, exposing management processors to untrusted code. It does not directly establish the required result for the current case: A deliberately interrupted canary is recovered without losing management of the remaining production nodes.

C:

This observation would help verify a different incident: A node intermittently disappears during large CUDA workloads, but the only retained evidence is the operating-system kernel log after it has rebooted. It does not directly establish the required result for the current case: A deliberately interrupted canary is recovered without losing management of the remaining production nodes.

D:

This observation would help verify a different incident: Dual PSU GPU nodes are wired to separate cords that both terminate on the same upstream electrical breaker, and a maintenance event shuts down the pod. It does not directly establish the required result for the current case: A deliberately interrupted canary is recovered without losing management of the remaining production nodes.

Question 59

During a GPU datacenter maintenance window, an engineer discovers: An operator initiates simultaneous BMC firmware updates on every host, eliminating the team's ability to recover remote power controls if the update fails. Which root cause or infrastructure principle best explains the observed failure?

  1. Version drift across GPU, baseboard, and fabric components can create cluster-level faults absent on isolated nodes.
  2. Firmware and platform configuration can produce hardware-like symptoms that do not prove physical GPU failure.
  3. Parallel management-controller upgrades enlarge the blast radius of an otherwise localized firmware defect.
  4. Available rack space does not guarantee sufficient peak electrical capacity for accelerator workloads.

Explanation

Correct Answer

C:

This technical mechanism explains the reported condition: Parallel management-controller upgrades enlarge the blast radius of an otherwise localized firmware defect. The observed situation is: An operator initiates simultaneous BMC firmware updates on every host, eliminating the team's ability to recover remote power controls if the update fails. A requirement-aligned correction is: Deploy firmware in canary batches with out-of-band rollback and physical access plans for controllers that fail to restart.

Incorrect Answers

A:

This underlying cause is associated with another GPU platform incident: Firmware is upgraded on only half of the HGX nodes, after which GPU fabric health alerts appear only when training jobs span both firmware cohorts. The observed case instead concerns: Parallel management-controller upgrades enlarge the blast radius of an otherwise localized firmware defect.

B:

This underlying cause is associated with another GPU platform incident: A GPU server presents PCIe link-width degradation immediately after a platform firmware change, but technicians plan to replace the accelerator first. The observed case instead concerns: Parallel management-controller upgrades enlarge the blast radius of an otherwise localized firmware defect.

D:

This underlying cause is associated with another GPU platform incident: An operator adds eight GPU servers to a rack because empty units are available, but a simultaneous training load trips the rack's PDU current limit. The observed case instead concerns: Parallel management-controller upgrades enlarge the blast radius of an otherwise localized firmware defect.

Question 60

During a GPU datacenter maintenance window, an engineer discovers: An operator initiates simultaneous BMC firmware updates on every host, eliminating the team's ability to recover remote power controls if the update fails. Which repeatable operational safeguard best prevents recurrence of this failure?

  1. Use staged firmware maintenance, image integrity checks, and verified recovery procedures for BMC updates.
  2. Capture pre- and post-update slot, link, and device health baselines for every firmware rollout.
  3. Continuously retain synchronized management-controller fault logs and automate export before host remediation.
  4. Treat BIOS/UEFI configuration as versioned hardware acceptance evidence along with component inventory.

Explanation

Correct Answer

A:

This preventive practice addresses the underlying failure (Parallel management-controller upgrades enlarge the blast radius of an otherwise localized firmware defect.) and supports continued assurance through: A deliberately interrupted canary is recovered without losing management of the remaining production nodes.

Incorrect Answers

B:

This prevention control targets another operational risk: A GPU server presents PCIe link-width degradation immediately after a platform firmware change, but technicians plan to replace the accelerator first. The currently reported mechanism remains: Parallel management-controller upgrades enlarge the blast radius of an otherwise localized firmware defect.

C:

This prevention control targets another operational risk: A node intermittently disappears during large CUDA workloads, but the only retained evidence is the operating-system kernel log after it has rebooted. The currently reported mechanism remains: Parallel management-controller upgrades enlarge the blast radius of an otherwise localized firmware defect.

D:

This prevention control targets another operational risk: A provisioning script accepts a data center node after disk health checks, but the BIOS is configured to hide required PCIe slots and GPUs are unavailable. The currently reported mechanism remains: Parallel management-controller upgrades enlarge the blast radius of an otherwise localized firmware defect.

NCP-AI Infrastructure (NCP-AII) Practice Tests