NVIDIA NCP-AII Practice Test 59
Question 580
During an NVIDIA AI factory acceptance test, engineers discover: A CUDA example reports no GPU after an operator updates Linux headers but does not rebuild the NVIDIA module. Which TWO complementary elements are needed: the correct technical action and the strongest independent diagnostic evidence? Select TWO answers.
- Configure supported BCM HA peers, synchronized services and planned failover tests with clear recovery boundaries.
- Assume nvidia-smi can use a new unsupported kernel module just because the user-space command remains installed.
- Review authorized key and account policy, SSH server settings, firewall reachability and authentication logs.
- Install a supported NVIDIA driver branch, manage kernel-module compatibility and verify driver load and CUDA enumeration.
- Inspect module binding, driver versions, dmesg, Secure Boot signatures and a CUDA device-query test.
Explanation
Correct Answers
D:This is an appropriate correction for GPU driver modules and DKMS lifecycle: Install a supported NVIDIA driver branch, manage kernel-module compatibility and verify driver load and CUDA enumeration. Observed scenario: A CUDA example reports no GPU after an operator updates Linux headers but does not rebuild the NVIDIA module. The governing mechanism is: CUDA user-space tools require a functioning compatible kernel driver; package presence alone is insufficient.
E:This is the direct operational evidence to investigate: Inspect module binding, driver versions, dmesg, Secure Boot signatures and a CUDA device-query test. Observed scenario: A CUDA example reports no GPU after an operator updates Linux headers but does not rebuild the NVIDIA module. The governing mechanism is: CUDA user-space tools require a functioning compatible kernel driver; package presence alone is insufficient.
Incorrect Answers
A:That option concerns BCM high availability and management failover. CUDA user-space tools require a functioning compatible kernel driver; package presence alone is insufficient.
B:This tempting but unsafe shortcut is not a sufficient remediation for GPU driver modules and DKMS lifecycle: Assume nvidia-smi can use a new unsupported kernel module just because the user-space command remains installed. A CUDA example reports no GPU after an operator updates Linux headers but does not rebuild the NVIDIA module. CUDA user-space tools require a functioning compatible kernel driver; package presence alone is insufficient.
C:This alternative is relevant to Host SSH certificates keys and OS access segregation but does not directly resolve the current GPU driver modules and DKMS lifecycle issue: Review authorized key and account policy, SSH server settings, firewall reachability and authentication logs. Observed scenario: A CUDA example reports no GPU after an operator updates Linux headers but does not rebuild the NVIDIA module.
Question 581
A production GPU cluster review identifies this condition: A host has two incompatible GPU driver branches and its userspace library cannot talk to the kernel module. Which operational response is MOST appropriate to address the root issue? Select ONE best answer.
- Assume nvidia-smi can use a new unsupported kernel module just because the user-space command remains installed.
- Use approved Enroot images and versioned runtime dependencies with restricted mounts and a reproducible launch test.
- Install a supported NVIDIA driver branch, manage kernel-module compatibility and verify driver load and CUDA enumeration.
- Define explicit BCM node categories and managed overrides for shared hardware and service configuration.
Explanation
Correct Answer
C:This is an appropriate correction for GPU driver modules and DKMS lifecycle: Install a supported NVIDIA driver branch, manage kernel-module compatibility and verify driver load and CUDA enumeration. Observed scenario: A host has two incompatible GPU driver branches and its userspace library cannot talk to the kernel module.
Incorrect Answers
A:This tempting but unsafe shortcut is not a sufficient remediation for GPU driver modules and DKMS lifecycle: Assume nvidia-smi can use a new unsupported kernel module just because the user-space command remains installed. A host has two incompatible GPU driver branches and its userspace library cannot talk to the kernel module.
B:This alternative is relevant to Enroot container image and execution lifecycle but does not directly resolve the current GPU driver modules and DKMS lifecycle issue: Use approved Enroot images and versioned runtime dependencies with restricted mounts and a reproducible launch test. Observed scenario: A host has two incompatible GPU driver branches and its userspace library cannot talk to the kernel module.
D:This alternative is relevant to BCM node categories and role inheritance but does not directly resolve the current GPU driver modules and DKMS lifecycle issue: Define explicit BCM node categories and managed overrides for shared hardware and service configuration. Observed scenario: A host has two incompatible GPU driver branches and its userspace library cannot talk to the kernel module.
Question 582
In a professional AI infrastructure deployment, a technician observes: A host has two incompatible GPU driver branches and its userspace library cannot talk to the kernel module. Which underlying infrastructure principle BEST explains the issue? Select ONE best answer.
- Cluster managers coordinate images, nodes, services and configuration; worker OS boot cannot replace control-plane readiness.
- CUDA user-space tools require a functioning compatible kernel driver; package presence alone is insufficient.
- Adding a second management host does not prove cluster-manager continuity unless state and advertised services fail over.
- Assume nvidia-smi can use a new unsupported kernel module just because the user-space command remains installed.
Explanation
Correct Answer
B:This is the governing infrastructure principle: CUDA user-space tools require a functioning compatible kernel driver; package presence alone is insufficient. Observed scenario: A host has two incompatible GPU driver branches and its userspace library cannot talk to the kernel module.
Incorrect Answers
A:That option concerns Base Command Manager head-node installation. The proportionate action is: Install a supported NVIDIA driver branch, manage kernel-module compatibility and verify driver load and CUDA enumeration.
C:This alternative is relevant to BCM high availability and management failover but does not directly resolve the current GPU driver modules and DKMS lifecycle issue: Adding a second management host does not prove cluster-manager continuity unless state and advertised services fail over. Observed scenario: A host has two incompatible GPU driver branches and its userspace library cannot talk to the kernel module.
D:This tempting but unsafe shortcut is not a sufficient remediation for GPU driver modules and DKMS lifecycle: Assume nvidia-smi can use a new unsupported kernel module just because the user-space command remains installed. A host has two incompatible GPU driver branches and its userspace library cannot talk to the kernel module. CUDA user-space tools require a functioning compatible kernel driver; package presence alone is insufficient.
Question 583
The cluster operations team needs to evaluate this situation: A host has two incompatible GPU driver branches and its userspace library cannot talk to the kernel module. Which diagnostic evidence should be obtained FIRST to substantiate the likely fault or configuration gap? Select ONE best answer.
- Assume nvidia-smi can use a new unsupported kernel module just because the user-space command remains installed.
- Inspect BCM service health, database backups, node discovery, management interfaces and provisioning records.
- Inspect image digests, Enroot startup logs, mounted directories, runtime libraries and test-job output.
- Inspect module binding, driver versions, dmesg, Secure Boot signatures and a CUDA device-query test.
Explanation
Correct Answer
D:This is the direct operational evidence to investigate: Inspect module binding, driver versions, dmesg, Secure Boot signatures and a CUDA device-query test. Observed scenario: A host has two incompatible GPU driver branches and its userspace library cannot talk to the kernel module.
Incorrect Answers
A:This tempting but unsafe shortcut is not a sufficient remediation for GPU driver modules and DKMS lifecycle: Assume nvidia-smi can use a new unsupported kernel module just because the user-space command remains installed. Observed scenario: A host has two incompatible GPU driver branches and its userspace library cannot talk to the kernel module. The governing mechanism is: CUDA user-space tools require a functioning compatible kernel driver; package presence alone is insufficient. The proportionate action is: Install a supported NVIDIA driver branch, manage kernel-module compatibility and verify driver load and CUDA enumeration.
B:This alternative is relevant to Base Command Manager head-node installation but does not directly resolve the current GPU driver modules and DKMS lifecycle issue: Inspect BCM service health, database backups, node discovery, management interfaces and provisioning records. Observed scenario: A host has two incompatible GPU driver branches and its userspace library cannot talk to the kernel module.
C:This alternative is relevant to Enroot container image and execution lifecycle but does not directly resolve the current GPU driver modules and DKMS lifecycle issue: Inspect image digests, Enroot startup logs, mounted directories, runtime libraries and test-job output. Observed scenario: A host has two incompatible GPU driver branches and its userspace library cannot talk to the kernel module.
Question 584
At a multi-node AI infrastructure handoff, the team records: A host has two incompatible GPU driver branches and its userspace library cannot talk to the kernel module. After corrective work, which observable result BEST confirms that the requirement is met? Select ONE best answer.
- The intended worker reliably reboots into the approved OS and image with the right management identity.
- Assume nvidia-smi can use a new unsupported kernel module just because the user-space command remains installed.
- Approved operators reach only assigned nodes and unauthorized sessions fail with traceable audit events.
- The host enumerates all supported GPUs through the intended driver after a reboot and kernel update.
Explanation
Correct Answer
D:This is an observable verified result, not merely a claimed configuration change: The host enumerates all supported GPUs through the intended driver after a reboot and kernel update. Observed scenario: A host has two incompatible GPU driver branches and its userspace library cannot talk to the kernel module.
Incorrect Answers
A:This alternative is relevant to BCM image provisioning and PXE worker boot but does not directly resolve the current GPU driver modules and DKMS lifecycle issue: The intended worker reliably reboots into the approved OS and image with the right management identity. Observed scenario: A host has two incompatible GPU driver branches and its userspace library cannot talk to the kernel module.
B:This tempting but unsafe shortcut is not a sufficient remediation for GPU driver modules and DKMS lifecycle: Assume nvidia-smi can use a new unsupported kernel module just because the user-space command remains installed. Observed scenario: A host has two incompatible GPU driver branches and its userspace library cannot talk to the kernel module. The governing mechanism is: CUDA user-space tools require a functioning compatible kernel driver; package presence alone is insufficient. The proportionate action is: Install a supported NVIDIA driver branch, manage kernel-module compatibility and verify driver load and CUDA enumeration. A direct check is: Inspect module binding, driver versions, dmesg, Secure Boot signatures and a CUDA device-query test. The acceptance condition is: The host enumerates all supported GPUs through the intended driver after a reboot and kernel update.
C:This alternative is relevant to Host SSH certificates keys and OS access segregation but does not directly resolve the current GPU driver modules and DKMS lifecycle issue: Approved operators reach only assigned nodes and unauthorized sessions fail with traceable audit events. Observed scenario: A host has two incompatible GPU driver branches and its userspace library cannot talk to the kernel module.
Question 585
During an NVIDIA AI factory acceptance test, engineers discover: Secure Boot rejects an unsigned driver after planned maintenance even though the package installer exited successfully. Which operational response is MOST appropriate to address the root issue? Select ONE best answer.
- Install the supported BCM head-node services and preserve configuration data before provisioning and accepting workers.
- Install a supported NVIDIA driver branch, manage kernel-module compatibility and verify driver load and CUDA enumeration.
- Assume nvidia-smi can use a new unsupported kernel module just because the user-space command remains installed.
- Define explicit BCM node categories and managed overrides for shared hardware and service configuration.
Explanation
Correct Answer
B:This is an appropriate correction for GPU driver modules and DKMS lifecycle: Install a supported NVIDIA driver branch, manage kernel-module compatibility and verify driver load and CUDA enumeration. Observed scenario: Secure Boot rejects an unsigned driver after planned maintenance even though the package installer exited successfully.
Incorrect Answers
A:This alternative is relevant to Base Command Manager head-node installation but does not directly resolve the current GPU driver modules and DKMS lifecycle issue: Install the supported BCM head-node services and preserve configuration data before provisioning and accepting workers. Observed scenario: Secure Boot rejects an unsigned driver after planned maintenance even though the package installer exited successfully.
C:This tempting but unsafe shortcut is not a sufficient remediation for GPU driver modules and DKMS lifecycle: Assume nvidia-smi can use a new unsupported kernel module just because the user-space command remains installed. Secure Boot rejects an unsigned driver after planned maintenance even though the package installer exited successfully.
D:This alternative is relevant to BCM node categories and role inheritance but does not directly resolve the current GPU driver modules and DKMS lifecycle issue: Define explicit BCM node categories and managed overrides for shared hardware and service configuration. Observed scenario: Secure Boot rejects an unsigned driver after planned maintenance even though the package installer exited successfully.
Question 586
A production GPU cluster review identifies this condition: Secure Boot rejects an unsigned driver after planned maintenance even though the package installer exited successfully. Which underlying infrastructure principle BEST explains the issue? Select ONE best answer.
- IP connectivity does not prove correct RDMA capability, link aggregation or loss and congestion treatment.
- Assume nvidia-smi can use a new unsupported kernel module just because the user-space command remains installed.
- CUDA user-space tools require a functioning compatible kernel driver; package presence alone is insufficient.
- Adding a second management host does not prove cluster-manager continuity unless state and advertised services fail over.
Explanation
Correct Answer
C:This is the governing infrastructure principle: CUDA user-space tools require a functioning compatible kernel driver; package presence alone is insufficient. Observed scenario: Secure Boot rejects an unsigned driver after planned maintenance even though the package installer exited successfully.
Incorrect Answers
A:That option concerns Compute fabric interface bonding and RDMA prerequisites. The proportionate action is: Install a supported NVIDIA driver branch, manage kernel-module compatibility and verify driver load and CUDA enumeration.
B:This tempting but unsafe shortcut is not a sufficient remediation for GPU driver modules and DKMS lifecycle: Assume nvidia-smi can use a new unsupported kernel module just because the user-space command remains installed. Secure Boot rejects an unsigned driver after planned maintenance even though the package installer exited successfully. CUDA user-space tools require a functioning compatible kernel driver; package presence alone is insufficient.
D:This alternative is relevant to BCM high availability and management failover but does not directly resolve the current GPU driver modules and DKMS lifecycle issue: Adding a second management host does not prove cluster-manager continuity unless state and advertised services fail over. Observed scenario: Secure Boot rejects an unsigned driver after planned maintenance even though the package installer exited successfully.
Question 587
In a professional AI infrastructure deployment, a technician observes: Secure Boot rejects an unsigned driver after planned maintenance even though the package installer exited successfully. Which diagnostic evidence should be obtained FIRST to substantiate the likely fault or configuration gap? Select ONE best answer.
- Inspect DHCP leases, PXE requests, image revisions, BCM node mappings and host boot traces.
- Inspect BCM service health, database backups, node discovery, management interfaces and provisioning records.
- Assume nvidia-smi can use a new unsupported kernel module just because the user-space command remains installed.
- Inspect module binding, driver versions, dmesg, Secure Boot signatures and a CUDA device-query test.
Explanation
Correct Answer
D:This is the direct operational evidence to investigate: Inspect module binding, driver versions, dmesg, Secure Boot signatures and a CUDA device-query test. Observed scenario: Secure Boot rejects an unsigned driver after planned maintenance even though the package installer exited successfully.
Incorrect Answers
A:This alternative is relevant to BCM image provisioning and PXE worker boot but does not directly resolve the current GPU driver modules and DKMS lifecycle issue: Inspect DHCP leases, PXE requests, image revisions, BCM node mappings and host boot traces. Observed scenario: Secure Boot rejects an unsigned driver after planned maintenance even though the package installer exited successfully.
B:This alternative is relevant to Base Command Manager head-node installation but does not directly resolve the current GPU driver modules and DKMS lifecycle issue: Inspect BCM service health, database backups, node discovery, management interfaces and provisioning records. Observed scenario: Secure Boot rejects an unsigned driver after planned maintenance even though the package installer exited successfully.
C:This tempting but unsafe shortcut is not a sufficient remediation for GPU driver modules and DKMS lifecycle: Assume nvidia-smi can use a new unsupported kernel module just because the user-space command remains installed. Observed scenario: Secure Boot rejects an unsigned driver after planned maintenance even though the package installer exited successfully. The governing mechanism is: CUDA user-space tools require a functioning compatible kernel driver; package presence alone is insufficient. The proportionate action is: Install a supported NVIDIA driver branch, manage kernel-module compatibility and verify driver load and CUDA enumeration.
Question 588
The cluster operations team needs to evaluate this situation: Secure Boot rejects an unsigned driver after planned maintenance even though the package installer exited successfully. After corrective work, which observable result BEST confirms that the requirement is met? Select ONE best answer.
- The host enumerates all supported GPUs through the intended driver after a reboot and kernel update.
- Assume nvidia-smi can use a new unsupported kernel module just because the user-space command remains installed.
- Required RDMA and DOCA capabilities operate on canary and production nodes without incompatible modules.
- The management node reports correct cluster state and consistently deploys an approved image to intended nodes.
Explanation
Correct Answer
A:This is an observable verified result, not merely a claimed configuration change: The host enumerates all supported GPUs through the intended driver after a reboot and kernel update. Observed scenario: Secure Boot rejects an unsigned driver after planned maintenance even though the package installer exited successfully.
Incorrect Answers
B:This tempting but unsafe shortcut is not a sufficient remediation for GPU driver modules and DKMS lifecycle: Assume nvidia-smi can use a new unsupported kernel module just because the user-space command remains installed. Observed scenario: Secure Boot rejects an unsigned driver after planned maintenance even though the package installer exited successfully. The governing mechanism is: CUDA user-space tools require a functioning compatible kernel driver; package presence alone is insufficient. The proportionate action is: Install a supported NVIDIA driver branch, manage kernel-module compatibility and verify driver load and CUDA enumeration. A direct check is: Inspect module binding, driver versions, dmesg, Secure Boot signatures and a CUDA device-query test. The acceptance condition is: The host enumerates all supported GPUs through the intended driver after a reboot and kernel update.
C:This alternative is relevant to DOCA host networking and RDMA driver stack but does not directly resolve the current GPU driver modules and DKMS lifecycle issue: Required RDMA and DOCA capabilities operate on canary and production nodes without incompatible modules. Observed scenario: Secure Boot rejects an unsigned driver after planned maintenance even though the package installer exited successfully.
D:This alternative is relevant to Base Command Manager head-node installation but does not directly resolve the current GPU driver modules and DKMS lifecycle issue: The management node reports correct cluster state and consistently deploys an approved image to intended nodes. Observed scenario: Secure Boot rejects an unsigned driver after planned maintenance even though the package installer exited successfully.
Question 589
At a multi-node AI infrastructure handoff, the team records: A BlueField-equipped worker runs a new DOCA package but older host networking modules prevent offload setup. Which operational response is MOST appropriate to address the root issue? Select ONE best answer.
- Use NVIDIA-supported OFED or DOCA-host and driver packages and verify host-DPU compatibility before promotion.
- Treat the successful installation of a DOCA package as conclusive proof that every network and offload function works.
- Define supported Slurm controller, compute nodes, partitions and authorized scheduling policies together.
- Configure supported BCM HA peers, synchronized services and planned failover tests with clear recovery boundaries.
Explanation
Correct Answer
A:This is an appropriate correction for DOCA host networking and RDMA driver stack: Use NVIDIA-supported OFED or DOCA-host and driver packages and verify host-DPU compatibility before promotion. Observed scenario: A BlueField-equipped worker runs a new DOCA package but older host networking modules prevent offload setup.
Incorrect Answers
B:This tempting but unsafe shortcut is not a sufficient remediation for DOCA host networking and RDMA driver stack: Treat the successful installation of a DOCA package as conclusive proof that every network and offload function works.
C:This alternative is relevant to Slurm controller partition setup but does not directly resolve the current DOCA host networking and RDMA driver stack issue: Define supported Slurm controller, compute nodes, partitions and authorized scheduling policies together. Observed scenario: A BlueField-equipped worker runs a new DOCA package but older host networking modules prevent offload setup.
D:This alternative is relevant to BCM high availability and management failover but does not directly resolve the current DOCA host networking and RDMA driver stack issue: Configure supported BCM HA peers, synchronized services and planned failover tests with clear recovery boundaries. Observed scenario: A BlueField-equipped worker runs a new DOCA package but older host networking modules prevent offload setup.
Question 590
During an NVIDIA AI factory acceptance test, engineers discover: A BlueField-equipped worker runs a new DOCA package but older host networking modules prevent offload setup. Which TWO complementary elements are needed: the correct technical action and the strongest independent diagnostic evidence? Select TWO answers.
- Align supported interface or bond configuration, RDMA stack and fabric QoS with the cluster topology.
- Use NVIDIA-supported OFED or DOCA-host and driver packages and verify host-DPU compatibility before promotion.
- Treat the successful installation of a DOCA package as conclusive proof that every network and offload function works.
- Review driver package versions, RDMA verbs devices, BlueField firmware, module logs and network tests.
- Inspect module binding, driver versions, dmesg, Secure Boot signatures and a CUDA device-query test.
Explanation
Correct Answers
B:This is an appropriate correction for DOCA host networking and RDMA driver stack: Use NVIDIA-supported OFED or DOCA-host and driver packages and verify host-DPU compatibility before promotion. Observed scenario: A BlueField-equipped worker runs a new DOCA package but older host networking modules prevent offload setup. The governing mechanism is: High-speed host networking requires matching kernel, firmware, provider libraries and DPU service interfaces.
D:This is the direct operational evidence to investigate: Review driver package versions, RDMA verbs devices, BlueField firmware, module logs and network tests. Observed scenario: A BlueField-equipped worker runs a new DOCA package but older host networking modules prevent offload setup.
Incorrect Answers
A:That option concerns Compute fabric interface bonding and RDMA prerequisites. High-speed host networking requires matching kernel, firmware, provider libraries and DPU service interfaces.
C:This tempting but unsafe shortcut is not a sufficient remediation for DOCA host networking and RDMA driver stack: Treat the successful installation of a DOCA package as conclusive proof that every network and offload function works. High-speed host networking requires matching kernel, firmware, provider libraries and DPU service interfaces.
E:This alternative is relevant to GPU driver modules and DKMS lifecycle but does not directly resolve the current DOCA host networking and RDMA driver stack issue: Inspect module binding, driver versions, dmesg, Secure Boot signatures and a CUDA device-query test. Observed scenario: A BlueField-equipped worker runs a new DOCA package but older host networking modules prevent offload setup.