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Exam Code: NCP-AII

Exam Name: NCP-AI Infrastructure

Certification Provider: NVIDIA

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NVIDIA NCP-AII Practice Test 20

Question 190

An infrastructure administrator receives the following incident: A cluster's BlueField-3 interfaces appear on the PCIe bus, but the DPU-side operating system has not been initialized and remote DOCA services fail. Which measured result most directly proves that this specific problem is resolved?

  1. A controlled denied flow is attributable to the intended DPU enforcement rule and an allowed tenant flow continues as designed.
  2. The approved DPU management interface responds and a supported DPU service test completes with host and embedded versions recorded.
  3. A controlled test shows the traffic follows the documented DPU enforcement path and host management and datapath visibility agree on the mode.
  4. A device inventory and representative job test show the intended MIG instances, resource quotas, and successful workload placement.

Explanation

Correct Answer

B:

This is the measurable acceptance result for the described case: The approved DPU management interface responds and a supported DPU service test completes with host and embedded versions recorded. It validates the corrective operation (Provision the supported BlueField software image and verify DPU-side network, firmware, and management readiness independently of host PCIe discovery.) rather than a related but different system check.

Incorrect Answers

A:

This observation would help verify a different incident: An AI cluster relies on BlueField offload for tenant isolation, but troubleshooting captures only host-side traffic and finds no explanation for dropped packets. It does not directly establish the required result for the current case: The approved DPU management interface responds and a supported DPU service test completes with host and embedded versions recorded.

C:

This observation would help verify a different incident: A GPU rack uses BlueField adapters with an unexpected embedded CPU management mode, and host traffic bypasses the data-plane policies administrators expected on the DPU. It does not directly establish the required result for the current case: The approved DPU management interface responds and a supported DPU service test completes with host and embedded versions recorded.

D:

This observation would help verify a different incident: Researchers enable Multi-Instance GPU on a supported accelerator but assume two slices share the same capacity and hardware topology as one full GPU. It does not directly establish the required result for the current case: The approved DPU management interface responds and a supported DPU service test completes with host and embedded versions recorded.

Question 191

An infrastructure administrator receives the following incident: A cluster's BlueField-3 interfaces appear on the PCIe bus, but the DPU-side operating system has not been initialized and remote DOCA services fail. Which root cause or infrastructure principle best explains the observed failure?

  1. Data-plane offload can move packet processing and filtering out of the host view, hiding the true drop location.
  2. BlueField operating modes change which processor owns network and infrastructure functions, so a physical adapter alone does not guarantee the intended services.
  3. Changing physical GPU partitioning can invalidate live device allocations even when the host driver remains installed.
  4. A visible PCIe device is not proof that the embedded DPU software environment has booted or is configured.

Explanation

Correct Answer

D:

This technical mechanism explains the reported condition: A visible PCIe device is not proof that the embedded DPU software environment has booted or is configured. The observed situation is: A cluster's BlueField-3 interfaces appear on the PCIe bus, but the DPU-side operating system has not been initialized and remote DOCA services fail. A requirement-aligned correction is: Provision the supported BlueField software image and verify DPU-side network, firmware, and management readiness independently of host PCIe discovery.

Incorrect Answers

A:

This underlying cause is associated with another GPU platform incident: An AI cluster relies on BlueField offload for tenant isolation, but troubleshooting captures only host-side traffic and finds no explanation for dropped packets. The observed case instead concerns: A visible PCIe device is not proof that the embedded DPU software environment has booted or is configured.

B:

This underlying cause is associated with another GPU platform incident: A GPU rack uses BlueField adapters with an unexpected embedded CPU management mode, and host traffic bypasses the data-plane policies administrators expected on the DPU. The observed case instead concerns: A visible PCIe device is not proof that the embedded DPU software environment has booted or is configured.

C:

This underlying cause is associated with another GPU platform incident: A team reconfigures MIG geometry while production GPU jobs are active, causing disruptive device recreation and lost workloads. The observed case instead concerns: A visible PCIe device is not proof that the embedded DPU software environment has booted or is configured.

Question 192

An infrastructure administrator receives the following incident: A cluster's BlueField-3 interfaces appear on the PCIe bus, but the DPU-side operating system has not been initialized and remote DOCA services fail. Which repeatable operational safeguard best prevents recurrence of this failure?

  1. Document per-layer host, BlueField, and switch observability paths for any offloaded networking feature.
  2. Record DPU operating mode, owner, management interface, and supported configuration baseline at server commissioning.
  3. Validate supported MIG geometry and workload sizing before offering shared accelerator partitions to tenants.
  4. Include independent BlueField OS and service readiness tests in physical network platform acceptance.

Explanation

Correct Answer

D:

This preventive practice addresses the underlying failure (A visible PCIe device is not proof that the embedded DPU software environment has booted or is configured.) and supports continued assurance through: The approved DPU management interface responds and a supported DPU service test completes with host and embedded versions recorded.

Incorrect Answers

A:

This prevention control targets another operational risk: An AI cluster relies on BlueField offload for tenant isolation, but troubleshooting captures only host-side traffic and finds no explanation for dropped packets. The currently reported mechanism remains: A visible PCIe device is not proof that the embedded DPU software environment has booted or is configured.

B:

This prevention control targets another operational risk: A GPU rack uses BlueField adapters with an unexpected embedded CPU management mode, and host traffic bypasses the data-plane policies administrators expected on the DPU. The currently reported mechanism remains: A visible PCIe device is not proof that the embedded DPU software environment has booted or is configured.

C:

This prevention control targets another operational risk: Researchers enable Multi-Instance GPU on a supported accelerator but assume two slices share the same capacity and hardware topology as one full GPU. The currently reported mechanism remains: A visible PCIe device is not proof that the embedded DPU software environment has booted or is configured.

Question 193

An NVIDIA accelerator platform readiness review identifies this issue: A security team changes BlueField firmware on all AI servers but does not retain a recovery image, and one canary device fails to complete boot. Which corrective deployment or operational action best addresses the stated problem?

  1. Stop the rollout and recover the canary using vendor-supported boot image and management procedures before proceeding in bounded groups.
  2. Collect approved DPU-side interface counters and policy logs alongside host and switch telemetry before changing host firewall rules.
  3. Provision the supported BlueField software image and verify DPU-side network, firmware, and management readiness independently of host PCIe discovery.
  4. Drain affected workloads and use the documented enable/disable and instance creation sequence before returning capacity to service.

Explanation

Correct Answer

A:

For the stated NVIDIA AI infrastructure condition (A security team changes BlueField firmware on all AI servers but does not retain a recovery image, and one canary device fails to complete boot.), this action addresses the concrete failure: Stop the rollout and recover the canary using vendor-supported boot image and management procedures before proceeding in bounded groups. The underlying mechanism is: DPU firmware upgrades affect privileged embedded systems whose recovery and compatibility requirements differ from ordinary host software updates. Verification would require: The repaired DPU returns to the approved firmware and operating mode, and unaffected production nodes remain manageable throughout the recovery.

Incorrect Answers

B:

This option could be appropriate for a different NVIDIA infrastructure problem (2.1: Configure and manage a BlueField network platform): An AI cluster relies on BlueField offload for tenant isolation, but troubleshooting captures only host-side traffic and finds no explanation for dropped packets. The present issue is more specifically caused by: DPU firmware upgrades affect privileged embedded systems whose recovery and compatibility requirements differ from ordinary host software updates.

C:

This option could be appropriate for a different NVIDIA infrastructure problem (2.1: Configure and manage a BlueField network platform): A cluster's BlueField-3 interfaces appear on the PCIe bus, but the DPU-side operating system has not been initialized and remote DOCA services fail. The present issue is more specifically caused by: DPU firmware upgrades affect privileged embedded systems whose recovery and compatibility requirements differ from ordinary host software updates.

D:

This option could be appropriate for a different NVIDIA infrastructure problem (2.2: Configure Multi-Instance GPU (MIG) for AI and HPC): A team reconfigures MIG geometry while production GPU jobs are active, causing disruptive device recreation and lost workloads. The present issue is more specifically caused by: DPU firmware upgrades affect privileged embedded systems whose recovery and compatibility requirements differ from ordinary host software updates.

Question 194

An NVIDIA accelerator platform readiness review identifies this issue: A security team changes BlueField firmware on all AI servers but does not retain a recovery image, and one canary device fails to complete boot. Which measured result most directly proves that this specific problem is resolved?

  1. The repaired DPU returns to the approved firmware and operating mode, and unaffected production nodes remain manageable throughout the recovery.
  2. A controlled test shows the traffic follows the documented DPU enforcement path and host management and datapath visibility agree on the mode.
  3. The approved DPU management interface responds and a supported DPU service test completes with host and embedded versions recorded.
  4. A staged reconfiguration returns the target MIG profile set, and no protected job experiences an unplanned partition reset.

Explanation

Correct Answer

A:

This is the measurable acceptance result for the described case: The repaired DPU returns to the approved firmware and operating mode, and unaffected production nodes remain manageable throughout the recovery. It validates the corrective operation (Stop the rollout and recover the canary using vendor-supported boot image and management procedures before proceeding in bounded groups.) rather than a related but different system check.

Incorrect Answers

B:

This observation would help verify a different incident: A GPU rack uses BlueField adapters with an unexpected embedded CPU management mode, and host traffic bypasses the data-plane policies administrators expected on the DPU. It does not directly establish the required result for the current case: The repaired DPU returns to the approved firmware and operating mode, and unaffected production nodes remain manageable throughout the recovery.

C:

This observation would help verify a different incident: A cluster's BlueField-3 interfaces appear on the PCIe bus, but the DPU-side operating system has not been initialized and remote DOCA services fail. It does not directly establish the required result for the current case: The repaired DPU returns to the approved firmware and operating mode, and unaffected production nodes remain manageable throughout the recovery.

D:

This observation would help verify a different incident: A team reconfigures MIG geometry while production GPU jobs are active, causing disruptive device recreation and lost workloads. It does not directly establish the required result for the current case: The repaired DPU returns to the approved firmware and operating mode, and unaffected production nodes remain manageable throughout the recovery.

Question 195

An NVIDIA accelerator platform readiness review identifies this issue: A security team changes BlueField firmware on all AI servers but does not retain a recovery image, and one canary device fails to complete boot. Which root cause or infrastructure principle best explains the observed failure?

  1. A visible PCIe device is not proof that the embedded DPU software environment has booted or is configured.
  2. BlueField operating modes change which processor owns network and infrastructure functions, so a physical adapter alone does not guarantee the intended services.
  3. DPU firmware upgrades affect privileged embedded systems whose recovery and compatibility requirements differ from ordinary host software updates.
  4. Changing physical GPU partitioning can invalidate live device allocations even when the host driver remains installed.

Explanation

Correct Answer

C:

This technical mechanism explains the reported condition: DPU firmware upgrades affect privileged embedded systems whose recovery and compatibility requirements differ from ordinary host software updates. The observed situation is: A security team changes BlueField firmware on all AI servers but does not retain a recovery image, and one canary device fails to complete boot. A requirement-aligned correction is: Stop the rollout and recover the canary using vendor-supported boot image and management procedures before proceeding in bounded groups.

Incorrect Answers

A:

This underlying cause is associated with another GPU platform incident: A cluster's BlueField-3 interfaces appear on the PCIe bus, but the DPU-side operating system has not been initialized and remote DOCA services fail. The observed case instead concerns: DPU firmware upgrades affect privileged embedded systems whose recovery and compatibility requirements differ from ordinary host software updates.

B:

This underlying cause is associated with another GPU platform incident: A GPU rack uses BlueField adapters with an unexpected embedded CPU management mode, and host traffic bypasses the data-plane policies administrators expected on the DPU. The observed case instead concerns: DPU firmware upgrades affect privileged embedded systems whose recovery and compatibility requirements differ from ordinary host software updates.

D:

This underlying cause is associated with another GPU platform incident: A team reconfigures MIG geometry while production GPU jobs are active, causing disruptive device recreation and lost workloads. The observed case instead concerns: DPU firmware upgrades affect privileged embedded systems whose recovery and compatibility requirements differ from ordinary host software updates.

Question 196

An NVIDIA accelerator platform readiness review identifies this issue: A security team changes BlueField firmware on all AI servers but does not retain a recovery image, and one canary device fails to complete boot. Which repeatable operational safeguard best prevents recurrence of this failure?

  1. Gate DPU firmware rollout on signed images, mode compatibility, canary validation, and a tested recovery path.
  2. Include independent BlueField OS and service readiness tests in physical network platform acceptance.
  3. Record DPU operating mode, owner, management interface, and supported configuration baseline at server commissioning.
  4. Enforce maintenance windows, scheduler cordoning, and before/after MIG inventory checks for every layout change.

Explanation

Correct Answer

A:

This preventive practice addresses the underlying failure (DPU firmware upgrades affect privileged embedded systems whose recovery and compatibility requirements differ from ordinary host software updates.) and supports continued assurance through: The repaired DPU returns to the approved firmware and operating mode, and unaffected production nodes remain manageable throughout the recovery.

Incorrect Answers

B:

This prevention control targets another operational risk: A cluster's BlueField-3 interfaces appear on the PCIe bus, but the DPU-side operating system has not been initialized and remote DOCA services fail. The currently reported mechanism remains: DPU firmware upgrades affect privileged embedded systems whose recovery and compatibility requirements differ from ordinary host software updates.

C:

This prevention control targets another operational risk: A GPU rack uses BlueField adapters with an unexpected embedded CPU management mode, and host traffic bypasses the data-plane policies administrators expected on the DPU. The currently reported mechanism remains: DPU firmware upgrades affect privileged embedded systems whose recovery and compatibility requirements differ from ordinary host software updates.

D:

This prevention control targets another operational risk: A team reconfigures MIG geometry while production GPU jobs are active, causing disruptive device recreation and lost workloads. The currently reported mechanism remains: DPU firmware upgrades affect privileged embedded systems whose recovery and compatibility requirements differ from ordinary host software updates.

Question 197

During a GPU datacenter maintenance window, an engineer discovers: An AI cluster relies on BlueField offload for tenant isolation, but troubleshooting captures only host-side traffic and finds no explanation for dropped packets. Which corrective deployment or operational action best addresses the stated problem?

  1. Stop the rollout and recover the canary using vendor-supported boot image and management procedures before proceeding in bounded groups.
  2. Collect approved DPU-side interface counters and policy logs alongside host and switch telemetry before changing host firewall rules.
  3. Confirm the supported BlueField mode and deploy the intended host/DPU ownership and network acceleration configuration through approved utilities.
  4. Drain affected workloads and use the documented enable/disable and instance creation sequence before returning capacity to service.

Explanation

Correct Answer

B:

For the stated NVIDIA AI infrastructure condition (An AI cluster relies on BlueField offload for tenant isolation, but troubleshooting captures only host-side traffic and finds no explanation for dropped packets.), this action addresses the concrete failure: Collect approved DPU-side interface counters and policy logs alongside host and switch telemetry before changing host firewall rules. The underlying mechanism is: Data-plane offload can move packet processing and filtering out of the host view, hiding the true drop location. Verification would require: A controlled denied flow is attributable to the intended DPU enforcement rule and an allowed tenant flow continues as designed.

Incorrect Answers

A:

This option could be appropriate for a different NVIDIA infrastructure problem (2.1: Configure and manage a BlueField network platform): A security team changes BlueField firmware on all AI servers but does not retain a recovery image, and one canary device fails to complete boot. The present issue is more specifically caused by: Data-plane offload can move packet processing and filtering out of the host view, hiding the true drop location.

C:

This option could be appropriate for a different NVIDIA infrastructure problem (2.1: Configure and manage a BlueField network platform): A GPU rack uses BlueField adapters with an unexpected embedded CPU management mode, and host traffic bypasses the data-plane policies administrators expected on the DPU. The present issue is more specifically caused by: Data-plane offload can move packet processing and filtering out of the host view, hiding the true drop location.

D:

This option could be appropriate for a different NVIDIA infrastructure problem (2.2: Configure Multi-Instance GPU (MIG) for AI and HPC): A team reconfigures MIG geometry while production GPU jobs are active, causing disruptive device recreation and lost workloads. The present issue is more specifically caused by: Data-plane offload can move packet processing and filtering out of the host view, hiding the true drop location.

Question 198

During a GPU datacenter maintenance window, an engineer discovers: An AI cluster relies on BlueField offload for tenant isolation, but troubleshooting captures only host-side traffic and finds no explanation for dropped packets. Which measured result most directly proves that this specific problem is resolved?

  1. A controlled test shows the traffic follows the documented DPU enforcement path and host management and datapath visibility agree on the mode.
  2. The repaired DPU returns to the approved firmware and operating mode, and unaffected production nodes remain manageable throughout the recovery.
  3. A controlled denied flow is attributable to the intended DPU enforcement rule and an allowed tenant flow continues as designed.
  4. A staged reconfiguration returns the target MIG profile set, and no protected job experiences an unplanned partition reset.

Explanation

Correct Answer

C:

This is the measurable acceptance result for the described case: A controlled denied flow is attributable to the intended DPU enforcement rule and an allowed tenant flow continues as designed. It validates the corrective operation (Collect approved DPU-side interface counters and policy logs alongside host and switch telemetry before changing host firewall rules.) rather than a related but different system check.

Incorrect Answers

A:

This observation would help verify a different incident: A GPU rack uses BlueField adapters with an unexpected embedded CPU management mode, and host traffic bypasses the data-plane policies administrators expected on the DPU. It does not directly establish the required result for the current case: A controlled denied flow is attributable to the intended DPU enforcement rule and an allowed tenant flow continues as designed.

B:

This observation would help verify a different incident: A security team changes BlueField firmware on all AI servers but does not retain a recovery image, and one canary device fails to complete boot. It does not directly establish the required result for the current case: A controlled denied flow is attributable to the intended DPU enforcement rule and an allowed tenant flow continues as designed.

D:

This observation would help verify a different incident: A team reconfigures MIG geometry while production GPU jobs are active, causing disruptive device recreation and lost workloads. It does not directly establish the required result for the current case: A controlled denied flow is attributable to the intended DPU enforcement rule and an allowed tenant flow continues as designed.

Question 199

During a GPU datacenter maintenance window, an engineer discovers: An AI cluster relies on BlueField offload for tenant isolation, but troubleshooting captures only host-side traffic and finds no explanation for dropped packets. Which root cause or infrastructure principle best explains the observed failure?

  1. Data-plane offload can move packet processing and filtering out of the host view, hiding the true drop location.
  2. A visible PCIe device is not proof that the embedded DPU software environment has booted or is configured.
  3. DPU firmware upgrades affect privileged embedded systems whose recovery and compatibility requirements differ from ordinary host software updates.
  4. MIG topology changes can invalidate ephemeral index-based device placement and monitoring assumptions.

Explanation

Correct Answer

A:

This technical mechanism explains the reported condition: Data-plane offload can move packet processing and filtering out of the host view, hiding the true drop location. The observed situation is: An AI cluster relies on BlueField offload for tenant isolation, but troubleshooting captures only host-side traffic and finds no explanation for dropped packets. A requirement-aligned correction is: Collect approved DPU-side interface counters and policy logs alongside host and switch telemetry before changing host firewall rules.

Incorrect Answers

B:

This underlying cause is associated with another GPU platform incident: A cluster's BlueField-3 interfaces appear on the PCIe bus, but the DPU-side operating system has not been initialized and remote DOCA services fail. The observed case instead concerns: Data-plane offload can move packet processing and filtering out of the host view, hiding the true drop location.

C:

This underlying cause is associated with another GPU platform incident: A security team changes BlueField firmware on all AI servers but does not retain a recovery image, and one canary device fails to complete boot. The observed case instead concerns: Data-plane offload can move packet processing and filtering out of the host view, hiding the true drop location.

D:

This underlying cause is associated with another GPU platform incident: A scheduler assigns a training container to a MIG instance by a temporary index, and reconfiguration leaves the container using the wrong partition. The observed case instead concerns: Data-plane offload can move packet processing and filtering out of the host view, hiding the true drop location.

Question 200

During a GPU datacenter maintenance window, an engineer discovers: An AI cluster relies on BlueField offload for tenant isolation, but troubleshooting captures only host-side traffic and finds no explanation for dropped packets. Which repeatable operational safeguard best prevents recurrence of this failure?

  1. Gate DPU firmware rollout on signed images, mode compatibility, canary validation, and a tested recovery path.
  2. Document per-layer host, BlueField, and switch observability paths for any offloaded networking feature.
  3. Record DPU operating mode, owner, management interface, and supported configuration baseline at server commissioning.
  4. Require device rediscovery, allocation reconciliation, and job-drain checks whenever MIG partitions are reconfigured.

Explanation

Correct Answer

B:

This preventive practice addresses the underlying failure (Data-plane offload can move packet processing and filtering out of the host view, hiding the true drop location.) and supports continued assurance through: A controlled denied flow is attributable to the intended DPU enforcement rule and an allowed tenant flow continues as designed.

Incorrect Answers

A:

This prevention control targets another operational risk: A security team changes BlueField firmware on all AI servers but does not retain a recovery image, and one canary device fails to complete boot. The currently reported mechanism remains: Data-plane offload can move packet processing and filtering out of the host view, hiding the true drop location.

C:

This prevention control targets another operational risk: A GPU rack uses BlueField adapters with an unexpected embedded CPU management mode, and host traffic bypasses the data-plane policies administrators expected on the DPU. The currently reported mechanism remains: Data-plane offload can move packet processing and filtering out of the host view, hiding the true drop location.

D:

This prevention control targets another operational risk: A scheduler assigns a training container to a MIG instance by a temporary index, and reconfiguration leaves the container using the wrong partition. The currently reported mechanism remains: Data-plane offload can move packet processing and filtering out of the host view, hiding the true drop location.

NCP-AI Infrastructure (NCP-AII) Practice Tests