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NVIDIA NCP-AII Practice Test 49

Question 480

During an NVIDIA AI factory acceptance test, engineers discover: A diskless compute node loses its boot filesystem when the image server's storage changes without approval. Which TWO complementary elements are needed: the correct technical action and the strongest independent diagnostic evidence? Select TWO answers.

  1. Inspect DHCP leases, PXE requests, image revisions, BCM node mappings and host boot traces.
  2. Inspect slurmd discovery, gres configuration, CUDA_VISIBLE_DEVICES and simultaneous job placement.
  3. Validate DHCP/PXE services, provisioned image and node identity mapping, then test clean node reboots.
  4. Define supported Slurm controller, compute nodes, partitions and authorized scheduling policies together.
  5. Assume that a host appearing in a rack inventory means it has booted the intended management-controlled system image.

Explanation

Correct Answers

A:

This is the direct operational evidence to investigate: Inspect DHCP leases, PXE requests, image revisions, BCM node mappings and host boot traces. Observed scenario: A diskless compute node loses its boot filesystem when the image server's storage changes without approval. The governing mechanism is: Managed worker bring-up depends on the boot image and correct network identity, not just physical server power.

C:

This is an appropriate correction for BCM image provisioning and PXE worker boot: Validate DHCP/PXE services, provisioned image and node identity mapping, then test clean node reboots. Observed scenario: A diskless compute node loses its boot filesystem when the image server's storage changes without approval. The governing mechanism is: Managed worker bring-up depends on the boot image and correct network identity, not just physical server power.

Incorrect Answers

B:

That option concerns Slurm GPU GRES enumeration and device mapping. Managed worker bring-up depends on the boot image and correct network identity, not just physical server power.

D:

This alternative is relevant to Slurm controller partition setup but does not directly resolve the current BCM image provisioning and PXE worker boot issue: Define supported Slurm controller, compute nodes, partitions and authorized scheduling policies together. Observed scenario: A diskless compute node loses its boot filesystem when the image server's storage changes without approval.

E:

This tempting but unsafe shortcut is not a sufficient remediation for BCM image provisioning and PXE worker boot: Assume that a host appearing in a rack inventory means it has booted the intended management-controlled system image. Observed scenario: A diskless compute node loses its boot filesystem when the image server's storage changes without approval. The governing mechanism is: Managed worker bring-up depends on the boot image and correct network identity, not just physical server power. The proportionate action is: Validate DHCP/PXE services, provisioned image and node identity mapping, then test clean node reboots. A direct check is: Inspect DHCP leases, PXE requests, image revisions, BCM node mappings and host boot traces. The acceptance condition is: The intended worker reliably reboots into the approved OS and image with the right management identity.

Question 481

A production GPU cluster review identifies this condition: A cluster OS update changes the kernel but leaves the NVIDIA module compiled only for its previous release. Which operational response is MOST appropriate to address the root issue? Select ONE best answer.

  1. Install the supported BCM head-node services and preserve configuration data before provisioning and accepting workers.
  2. Use the supported OS, kernel and package combination and validate driver modules on a representative node before rollout.
  3. Equate package installation success with a working signed GPU driver for any arbitrary Linux kernel.
  4. Define queue priority, reservations and preemption or checkpoint controls suited to workload importance.

Explanation

Correct Answer

B:

This is an appropriate correction for Linux operating system and kernel module support: Use the supported OS, kernel and package combination and validate driver modules on a representative node before rollout. Observed scenario: A cluster OS update changes the kernel but leaves the NVIDIA module compiled only for its previous release.

Incorrect Answers

A:

This alternative is relevant to Base Command Manager head-node installation but does not directly resolve the current Linux operating system and kernel module support issue: Install the supported BCM head-node services and preserve configuration data before provisioning and accepting workers. Observed scenario: A cluster OS update changes the kernel but leaves the NVIDIA module compiled only for its previous release.

C:

This tempting but unsafe shortcut is not a sufficient remediation for Linux operating system and kernel module support: Equate package installation success with a working signed GPU driver for any arbitrary Linux kernel.

D:

This alternative is relevant to Slurm scheduling time limits fairness and preemption but does not directly resolve the current Linux operating system and kernel module support issue: Define queue priority, reservations and preemption or checkpoint controls suited to workload importance. Observed scenario: A cluster OS update changes the kernel but leaves the NVIDIA module compiled only for its previous release.

Question 482

In a professional AI infrastructure deployment, a technician observes: A cluster OS update changes the kernel but leaves the NVIDIA module compiled only for its previous release. Which underlying infrastructure principle BEST explains the issue? Select ONE best answer.

  1. Adding a second management host does not prove cluster-manager continuity unless state and advertised services fail over.
  2. Equate package installation success with a working signed GPU driver for any arbitrary Linux kernel.
  3. Host administration requires least privilege and credential lifecycle control independently of GPU job permissions.
  4. Accelerator and fabric software are kernel-dependent; a generic successful Linux boot does not establish full GPU readiness.

Explanation

Correct Answer

D:

This is the governing infrastructure principle: Accelerator and fabric software are kernel-dependent; a generic successful Linux boot does not establish full GPU readiness. Observed scenario: A cluster OS update changes the kernel but leaves the NVIDIA module compiled only for its previous release.

Incorrect Answers

A:

This alternative is relevant to BCM high availability and management failover but does not directly resolve the current Linux operating system and kernel module support issue: Adding a second management host does not prove cluster-manager continuity unless state and advertised services fail over. Observed scenario: A cluster OS update changes the kernel but leaves the NVIDIA module compiled only for its previous release.

B:

This tempting but unsafe shortcut is not a sufficient remediation for Linux operating system and kernel module support: Equate package installation success with a working signed GPU driver for any arbitrary Linux kernel. Accelerator and fabric software are kernel-dependent; a generic successful Linux boot does not establish full GPU readiness.

C:

This alternative is relevant to Host SSH certificates keys and OS access segregation but does not directly resolve the current Linux operating system and kernel module support issue: Host administration requires least privilege and credential lifecycle control independently of GPU job permissions. Observed scenario: A cluster OS update changes the kernel but leaves the NVIDIA module compiled only for its previous release.

Question 483

The cluster operations team needs to evaluate this situation: A cluster OS update changes the kernel but leaves the NVIDIA module compiled only for its previous release. Which diagnostic evidence should be obtained FIRST to substantiate the likely fault or configuration gap? Select ONE best answer.

  1. Inspect slurmd discovery, gres configuration, CUDA_VISIBLE_DEVICES and simultaneous job placement.
  2. Inspect kernel version, signed modules, driver logs, package provenance and canary compatibility tests.
  3. Equate package installation success with a working signed GPU driver for any arbitrary Linux kernel.
  4. Inspect category membership, inherited images, node overrides, resulting configuration and change impact.

Explanation

Correct Answer

B:

This is the direct operational evidence to investigate: Inspect kernel version, signed modules, driver logs, package provenance and canary compatibility tests. Observed scenario: A cluster OS update changes the kernel but leaves the NVIDIA module compiled only for its previous release.

Incorrect Answers

A:

This alternative is relevant to Slurm GPU GRES enumeration and device mapping but does not directly resolve the current Linux operating system and kernel module support issue: Inspect slurmd discovery, gres configuration, CUDA_VISIBLE_DEVICES and simultaneous job placement. Observed scenario: A cluster OS update changes the kernel but leaves the NVIDIA module compiled only for its previous release.

C:

This tempting but unsafe shortcut is not a sufficient remediation for Linux operating system and kernel module support: Equate package installation success with a working signed GPU driver for any arbitrary Linux kernel. A cluster OS update changes the kernel but leaves the NVIDIA module compiled only for its previous release.

D:

This alternative is relevant to BCM node categories and role inheritance but does not directly resolve the current Linux operating system and kernel module support issue: Inspect category membership, inherited images, node overrides, resulting configuration and change impact. Observed scenario: A cluster OS update changes the kernel but leaves the NVIDIA module compiled only for its previous release.

Question 484

At a multi-node AI infrastructure handoff, the team records: A cluster OS update changes the kernel but leaves the NVIDIA module compiled only for its previous release. After corrective work, which observable result BEST confirms that the requirement is met? Select ONE best answer.

  1. The requested test job enters the correct partition and runs on an eligible healthy GPU node.
  2. Jobs follow approved priority and maintenance tests do not unexpectedly preempt protected production work.
  3. New and restarted nodes load the intended GPU and fabric drivers and pass required cluster smoke tests.
  4. Equate package installation success with a working signed GPU driver for any arbitrary Linux kernel.

Explanation

Correct Answer

C:

This is an observable verified result, not merely a claimed configuration change: New and restarted nodes load the intended GPU and fabric drivers and pass required cluster smoke tests. Observed scenario: A cluster OS update changes the kernel but leaves the NVIDIA module compiled only for its previous release.

Incorrect Answers

A:

This alternative is relevant to Slurm controller partition setup but does not directly resolve the current Linux operating system and kernel module support issue: The requested test job enters the correct partition and runs on an eligible healthy GPU node. Observed scenario: A cluster OS update changes the kernel but leaves the NVIDIA module compiled only for its previous release.

B:

This alternative is relevant to Slurm scheduling time limits fairness and preemption but does not directly resolve the current Linux operating system and kernel module support issue: Jobs follow approved priority and maintenance tests do not unexpectedly preempt protected production work. Observed scenario: A cluster OS update changes the kernel but leaves the NVIDIA module compiled only for its previous release.

D:

This tempting but unsafe shortcut is not a sufficient remediation for Linux operating system and kernel module support: Equate package installation success with a working signed GPU driver for any arbitrary Linux kernel. A cluster OS update changes the kernel but leaves the NVIDIA module compiled only for its previous release. Accelerator and fabric software are kernel-dependent; a generic successful Linux boot does not establish full GPU readiness.

Question 485

During an NVIDIA AI factory acceptance test, engineers discover: A new DGX derivative uses packages intended for a different distribution and its GPU management utilities fail. Which operational response is MOST appropriate to address the root issue? Select ONE best answer.

  1. Define queue priority, reservations and preemption or checkpoint controls suited to workload importance.
  2. Equate package installation success with a working signed GPU driver for any arbitrary Linux kernel.
  3. Use the supported OS, kernel and package combination and validate driver modules on a representative node before rollout.
  4. Configure supported BCM HA peers, synchronized services and planned failover tests with clear recovery boundaries.

Explanation

Correct Answer

C:

This is an appropriate correction for Linux operating system and kernel module support: Use the supported OS, kernel and package combination and validate driver modules on a representative node before rollout. Observed scenario: A new DGX derivative uses packages intended for a different distribution and its GPU management utilities fail.

Incorrect Answers

A:

This alternative is relevant to Slurm scheduling time limits fairness and preemption but does not directly resolve the current Linux operating system and kernel module support issue: Define queue priority, reservations and preemption or checkpoint controls suited to workload importance. Observed scenario: A new DGX derivative uses packages intended for a different distribution and its GPU management utilities fail.

B:

This tempting but unsafe shortcut is not a sufficient remediation for Linux operating system and kernel module support: Equate package installation success with a working signed GPU driver for any arbitrary Linux kernel. A new DGX derivative uses packages intended for a different distribution and its GPU management utilities fail.

D:

This alternative is relevant to BCM high availability and management failover but does not directly resolve the current Linux operating system and kernel module support issue: Configure supported BCM HA peers, synchronized services and planned failover tests with clear recovery boundaries. Observed scenario: A new DGX derivative uses packages intended for a different distribution and its GPU management utilities fail.

Question 486

A production GPU cluster review identifies this condition: A new DGX derivative uses packages intended for a different distribution and its GPU management utilities fail. Which underlying infrastructure principle BEST explains the issue? Select ONE best answer.

  1. Accelerator and fabric software are kernel-dependent; a generic successful Linux boot does not establish full GPU readiness.
  2. A working Slurm daemon is not enough; partitions determine which nodes and resources can serve jobs.
  3. Equate package installation success with a working signed GPU driver for any arbitrary Linux kernel.
  4. Adding a second management host does not prove cluster-manager continuity unless state and advertised services fail over.

Explanation

Correct Answer

A:

This is the governing infrastructure principle: Accelerator and fabric software are kernel-dependent; a generic successful Linux boot does not establish full GPU readiness. Observed scenario: A new DGX derivative uses packages intended for a different distribution and its GPU management utilities fail.

Incorrect Answers

B:

This alternative is relevant to Slurm controller partition setup but does not directly resolve the current Linux operating system and kernel module support issue: A working Slurm daemon is not enough; partitions determine which nodes and resources can serve jobs. Observed scenario: A new DGX derivative uses packages intended for a different distribution and its GPU management utilities fail.

C:

This tempting but unsafe shortcut is not a sufficient remediation for Linux operating system and kernel module support: Equate package installation success with a working signed GPU driver for any arbitrary Linux kernel. A new DGX derivative uses packages intended for a different distribution and its GPU management utilities fail. Accelerator and fabric software are kernel-dependent; a generic successful Linux boot does not establish full GPU readiness.

D:

This alternative is relevant to BCM high availability and management failover but does not directly resolve the current Linux operating system and kernel module support issue: Adding a second management host does not prove cluster-manager continuity unless state and advertised services fail over. Observed scenario: A new DGX derivative uses packages intended for a different distribution and its GPU management utilities fail.

Question 487

In a professional AI infrastructure deployment, a technician observes: A new DGX derivative uses packages intended for a different distribution and its GPU management utilities fail. Which diagnostic evidence should be obtained FIRST to substantiate the likely fault or configuration gap? Select ONE best answer.

  1. Inspect DHCP leases, PXE requests, image revisions, BCM node mappings and host boot traces.
  2. Inspect kernel version, signed modules, driver logs, package provenance and canary compatibility tests.
  3. Equate package installation success with a working signed GPU driver for any arbitrary Linux kernel.
  4. Inspect category membership, inherited images, node overrides, resulting configuration and change impact.

Explanation

Correct Answer

B:

This is the direct operational evidence to investigate: Inspect kernel version, signed modules, driver logs, package provenance and canary compatibility tests. Observed scenario: A new DGX derivative uses packages intended for a different distribution and its GPU management utilities fail.

Incorrect Answers

A:

This alternative is relevant to BCM image provisioning and PXE worker boot but does not directly resolve the current Linux operating system and kernel module support issue: Inspect DHCP leases, PXE requests, image revisions, BCM node mappings and host boot traces. Observed scenario: A new DGX derivative uses packages intended for a different distribution and its GPU management utilities fail.

C:

This tempting but unsafe shortcut is not a sufficient remediation for Linux operating system and kernel module support: Equate package installation success with a working signed GPU driver for any arbitrary Linux kernel. Observed scenario: A new DGX derivative uses packages intended for a different distribution and its GPU management utilities fail. The governing mechanism is: Accelerator and fabric software are kernel-dependent; a generic successful Linux boot does not establish full GPU readiness. The proportionate action is: Use the supported OS, kernel and package combination and validate driver modules on a representative node before rollout.

D:

This alternative is relevant to BCM node categories and role inheritance but does not directly resolve the current Linux operating system and kernel module support issue: Inspect category membership, inherited images, node overrides, resulting configuration and change impact. Observed scenario: A new DGX derivative uses packages intended for a different distribution and its GPU management utilities fail.

Question 488

The cluster operations team needs to evaluate this situation: A new DGX derivative uses packages intended for a different distribution and its GPU management utilities fail. After corrective work, which observable result BEST confirms that the requirement is met? Select ONE best answer.

  1. The management node reports correct cluster state and consistently deploys an approved image to intended nodes.
  2. New and restarted nodes load the intended GPU and fabric drivers and pass required cluster smoke tests.
  3. Equate package installation success with a working signed GPU driver for any arbitrary Linux kernel.
  4. Approved operators reach only assigned nodes and unauthorized sessions fail with traceable audit events.

Explanation

Correct Answer

B:

This is an observable verified result, not merely a claimed configuration change: New and restarted nodes load the intended GPU and fabric drivers and pass required cluster smoke tests. Observed scenario: A new DGX derivative uses packages intended for a different distribution and its GPU management utilities fail.

Incorrect Answers

A:

This alternative is relevant to Base Command Manager head-node installation but does not directly resolve the current Linux operating system and kernel module support issue: The management node reports correct cluster state and consistently deploys an approved image to intended nodes. Observed scenario: A new DGX derivative uses packages intended for a different distribution and its GPU management utilities fail.

C:

This tempting but unsafe shortcut is not a sufficient remediation for Linux operating system and kernel module support: Equate package installation success with a working signed GPU driver for any arbitrary Linux kernel. Observed scenario: A new DGX derivative uses packages intended for a different distribution and its GPU management utilities fail. The governing mechanism is: Accelerator and fabric software are kernel-dependent; a generic successful Linux boot does not establish full GPU readiness. The proportionate action is: Use the supported OS, kernel and package combination and validate driver modules on a representative node before rollout. A direct check is: Inspect kernel version, signed modules, driver logs, package provenance and canary compatibility tests. The acceptance condition is: New and restarted nodes load the intended GPU and fabric drivers and pass required cluster smoke tests.

D:

This alternative is relevant to Host SSH certificates keys and OS access segregation but does not directly resolve the current Linux operating system and kernel module support issue: Approved operators reach only assigned nodes and unauthorized sessions fail with traceable audit events. Observed scenario: A new DGX derivative uses packages intended for a different distribution and its GPU management utilities fail.

Question 489

At a multi-node AI infrastructure handoff, the team records: A security team forces an emergency kernel update without testing network RDMA and GPU support on a canary. Which operational response is MOST appropriate to address the root issue? Select ONE best answer.

  1. Synchronize Slurm GRES inventory with hardware and MIG state and validate per-job device isolation.
  2. Configure supported BCM HA peers, synchronized services and planned failover tests with clear recovery boundaries.
  3. Equate package installation success with a working signed GPU driver for any arbitrary Linux kernel.
  4. Use the supported OS, kernel and package combination and validate driver modules on a representative node before rollout.

Explanation

Correct Answer

D:

This is an appropriate correction for Linux operating system and kernel module support: Use the supported OS, kernel and package combination and validate driver modules on a representative node before rollout. Observed scenario: A security team forces an emergency kernel update without testing network RDMA and GPU support on a canary.

Incorrect Answers

A:

This alternative is relevant to Slurm GPU GRES enumeration and device mapping but does not directly resolve the current Linux operating system and kernel module support issue: Synchronize Slurm GRES inventory with hardware and MIG state and validate per-job device isolation. Observed scenario: A security team forces an emergency kernel update without testing network RDMA and GPU support on a canary.

B:

This alternative is relevant to BCM high availability and management failover but does not directly resolve the current Linux operating system and kernel module support issue: Configure supported BCM HA peers, synchronized services and planned failover tests with clear recovery boundaries. Observed scenario: A security team forces an emergency kernel update without testing network RDMA and GPU support on a canary.

C:

This tempting but unsafe shortcut is not a sufficient remediation for Linux operating system and kernel module support: Equate package installation success with a working signed GPU driver for any arbitrary Linux kernel. A security team forces an emergency kernel update without testing network RDMA and GPU support on a canary.

Question 490

During an NVIDIA AI factory acceptance test, engineers discover: A security team forces an emergency kernel update without testing network RDMA and GPU support on a canary. Which TWO complementary elements are needed: the correct technical action and the strongest independent diagnostic evidence? Select TWO answers.

  1. Check HA roles, sync status, virtual management endpoint, database replication and isolation tests.
  2. Equate package installation success with a working signed GPU driver for any arbitrary Linux kernel.
  3. Use the supported OS, kernel and package combination and validate driver modules on a representative node before rollout.
  4. Enforce individual authenticated host access, network restrictions and tested key rotation with accountable emergency recovery.
  5. Inspect kernel version, signed modules, driver logs, package provenance and canary compatibility tests.

Explanation

Correct Answers

C:

This is an appropriate correction for Linux operating system and kernel module support: Use the supported OS, kernel and package combination and validate driver modules on a representative node before rollout. Observed scenario: A security team forces an emergency kernel update without testing network RDMA and GPU support on a canary. The governing mechanism is: Accelerator and fabric software are kernel-dependent; a generic successful Linux boot does not establish full GPU readiness.

E:

This is the direct operational evidence to investigate: Inspect kernel version, signed modules, driver logs, package provenance and canary compatibility tests. Observed scenario: A security team forces an emergency kernel update without testing network RDMA and GPU support on a canary.

Incorrect Answers

A:

This alternative is relevant to BCM high availability and management failover but does not directly resolve the current Linux operating system and kernel module support issue: Check HA roles, sync status, virtual management endpoint, database replication and isolation tests. Observed scenario: A security team forces an emergency kernel update without testing network RDMA and GPU support on a canary.

B:

This tempting but unsafe shortcut is not a sufficient remediation for Linux operating system and kernel module support: Equate package installation success with a working signed GPU driver for any arbitrary Linux kernel. A security team forces an emergency kernel update without testing network RDMA and GPU support on a canary. Accelerator and fabric software are kernel-dependent; a generic successful Linux boot does not establish full GPU readiness.

D:

This alternative is relevant to Host SSH certificates keys and OS access segregation but does not directly resolve the current Linux operating system and kernel module support issue: Enforce individual authenticated host access, network restrictions and tested key rotation with accountable emergency recovery. Observed scenario: A security team forces an emergency kernel update without testing network RDMA and GPU support on a canary.

NCP-AI Infrastructure (NCP-AII) Practice Tests