Includes questions types found on actual exam such as drag and drop, simulation, type in, and fill in the blank.
NCP-AI Infrastructure NCP-AII Practice Test 17
Question 160
An engineer claims the change 'validate and label each cable endpoint against discovered port inventory' restored readiness. Which measurable test result would substantiate that claim?
both ports report the intended speed and error-free operation
media inventory and port-mode diagnostics agree with the fabric design
traced links match both ends and every approved connection in the topology map
lane-level light and link-state diagnostics show correct end-to-end connectivity
Explanation
Correct Answer
C:
Correct. It specifically tests the outcome of the approved remediation. The failure mechanism was cabling topology documentation does not reconcile with physical port neighbors; the listed result demonstrates the expected behavior.
Incorrect Answers
A:
“both ports report the intended speed and error-free operation” addresses both endpoints lack compatible active Ethernet or InfiniBand speeds, but the current hardware or infrastructure issue is cabling topology documentation does not reconcile with physical port neighbors. The option “traced links match both ends and every approved connection in the topology map” is more directly tied to the required outcome.
B:
“media inventory and port-mode diagnostics agree with the fabric design” addresses physical connector similarity was mistaken for protocol support, but the current hardware or infrastructure issue is cabling topology documentation does not reconcile with physical port neighbors. The option “traced links match both ends and every approved connection in the topology map” is more directly tied to the required outcome.
D:
“lane-level light and link-state diagnostics show correct end-to-end connectivity” addresses fiber polarity mapping does not match transmit-receive lane expectations, but the current hardware or infrastructure issue is cabling topology documentation does not reconcile with physical port neighbors. The option “traced links match both ends and every approved connection in the topology map” is more directly tied to the required outcome.
Question 161
A validation report notes: a field technician removes an accelerator board while the GPU server is powered, contrary to the service manual. What is the MOST defensible next action?
use the qualified GPU slot and retention hardware specified for the chassis
complete chassis service closure with fans panels and diagnostic tests
power down and isolate the node following the qualified service procedure
use the platform-qualified board form factor and carrier assembly
Explanation
Correct Answer
C:
Correct. This directly resolves physical GPU servicing omitted safe shutdown and isolation prerequisites. A valid handover should also demonstrate approved service checklist shows power isolation before any board handling.
Incorrect Answers
A:
“use the qualified GPU slot and retention hardware specified for the chassis” addresses installation slot choice violates platform mechanical and electrical constraints, but the current hardware or infrastructure issue is physical GPU servicing omitted safe shutdown and isolation prerequisites. The option “power down and isolate the node following the qualified service procedure” is more directly tied to the required outcome.
B:
“complete chassis service closure with fans panels and diagnostic tests” addresses physical reassembly and cooling acceptance were skipped, but the current hardware or infrastructure issue is physical GPU servicing omitted safe shutdown and isolation prerequisites. The option “power down and isolate the node following the qualified service procedure” is more directly tied to the required outcome.
D:
“use the platform-qualified board form factor and carrier assembly” addresses physical compatibility and airflow clearance were not confirmed, but the current hardware or infrastructure issue is physical GPU servicing omitted safe shutdown and isolation prerequisites. The option “power down and isolate the node following the qualified service procedure” is more directly tied to the required outcome.
Question 162
The site has performed 'power down and isolate the node following the qualified service procedure'. Which direct result is needed to close this issue rather than merely check a configuration?
board power status is healthy and full-load draw stays within limits
chassis fit check and fan telemetry satisfy service specifications
discovered UUID and serial match the approved replacement record
approved service checklist shows power isolation before any board handling
Explanation
Correct Answer
D:
Correct. This is observable proof for the intended change, not just evidence that a command was issued. It establishes approved service checklist shows power isolation before any board handling, addressing physical GPU servicing omitted safe shutdown and isolation prerequisites.
Incorrect Answers
A:
“board power status is healthy and full-load draw stays within limits” addresses the GPU power connection and supply budget are incomplete, but the current hardware or infrastructure issue is physical GPU servicing omitted safe shutdown and isolation prerequisites. The option “approved service checklist shows power isolation before any board handling” is more directly tied to the required outcome.
B:
“chassis fit check and fan telemetry satisfy service specifications” addresses physical compatibility and airflow clearance were not confirmed, but the current hardware or infrastructure issue is physical GPU servicing omitted safe shutdown and isolation prerequisites. The option “approved service checklist shows power isolation before any board handling” is more directly tied to the required outcome.
C:
“discovered UUID and serial match the approved replacement record” addresses hardware replacement identity and logical inventory were not reconciled, but the current hardware or infrastructure issue is physical GPU servicing omitted safe shutdown and isolation prerequisites. The option “approved service checklist shows power isolation before any board handling” is more directly tied to the required outcome.
Question 163
A replacement GPU is installed in a PCIe slot that lacks the expected lane width and airflow for the platform. Which corrective action is MOST appropriate before commissioning can proceed?
reseat the GPU using documented retention and torque procedures
power down and isolate the node following the qualified service procedure
use the platform-qualified board form factor and carrier assembly
use the qualified GPU slot and retention hardware specified for the chassis
Explanation
Correct Answer
D:
Correct. This is the corrective step for installation slot choice violates platform mechanical and electrical constraints; it addresses the failure at its source. The confirming observation is lspci reports expected link width and cooling sensors remain healthy.
Incorrect Answers
A:
Useful for card retention and connector seating were not completed to the platform standard, but it does not remove the specific condition: installation slot choice violates platform mechanical and electrical constraints.
B:
“power down and isolate the node following the qualified service procedure” addresses physical GPU servicing omitted safe shutdown and isolation prerequisites, but the current hardware or infrastructure issue is installation slot choice violates platform mechanical and electrical constraints. The option “use the qualified GPU slot and retention hardware specified for the chassis” is more directly tied to the required outcome.
C:
“use the platform-qualified board form factor and carrier assembly” addresses physical compatibility and airflow clearance were not confirmed, but the current hardware or infrastructure issue is installation slot choice violates platform mechanical and electrical constraints. The option “use the qualified GPU slot and retention hardware specified for the chassis” is more directly tied to the required outcome.
Question 164
The implementation team reports that it has completed 'use the qualified GPU slot and retention hardware specified for the chassis'. Which evidence should the acceptance reviewer request?
GPU temperature and clocks remain within limits under extended load
board power status is healthy and full-load draw stays within limits
repeated boot and stress testing shows stable GPU enumeration
lspci reports expected link width and cooling sensors remain healthy
Explanation
Correct Answer
D:
Correct. The test directly checks whether installation slot choice violates platform mechanical and electrical constraints has been remediated. That result supports operational acceptance rather than only configuration presence.
Incorrect Answers
A:
“GPU temperature and clocks remain within limits under extended load” addresses thermal interface material does not meet approved contact and resistance requirements, but the current hardware or infrastructure issue is installation slot choice violates platform mechanical and electrical constraints. The option “lspci reports expected link width and cooling sensors remain healthy” is more directly tied to the required outcome.
B:
“board power status is healthy and full-load draw stays within limits” addresses the GPU power connection and supply budget are incomplete, but the current hardware or infrastructure issue is installation slot choice violates platform mechanical and electrical constraints. The option “lspci reports expected link width and cooling sensors remain healthy” is more directly tied to the required outcome.
C:
“repeated boot and stress testing shows stable GPU enumeration” addresses card retention and connector seating were not completed to the platform standard, but the current hardware or infrastructure issue is installation slot choice violates platform mechanical and electrical constraints. The option “lspci reports expected link width and cooling sensors remain healthy” is more directly tied to the required outcome.
Question 165
An NVIDIA infrastructure team reports this operational finding: a GPU board seats loosely after a repair and intermittently disappears under vibration. Which action MOST directly addresses it?
use the qualified GPU slot and retention hardware specified for the chassis
use the platform-qualified board form factor and carrier assembly
reseat the GPU using documented retention and torque procedures
update asset mapping using GPU UUID bus ID and chassis slot
Explanation
Correct Answer
C:
Correct. This directly resolves card retention and connector seating were not completed to the platform standard. A valid handover should also demonstrate repeated boot and stress testing shows stable GPU enumeration.
Incorrect Answers
A:
“use the qualified GPU slot and retention hardware specified for the chassis” addresses installation slot choice violates platform mechanical and electrical constraints, but the current hardware or infrastructure issue is card retention and connector seating were not completed to the platform standard. The option “reseat the GPU using documented retention and torque procedures” is more directly tied to the required outcome.
B:
“use the platform-qualified board form factor and carrier assembly” addresses physical compatibility and airflow clearance were not confirmed, but the current hardware or infrastructure issue is card retention and connector seating were not completed to the platform standard. The option “reseat the GPU using documented retention and torque procedures” is more directly tied to the required outcome.
D:
“update asset mapping using GPU UUID bus ID and chassis slot” addresses hardware replacement identity and logical inventory were not reconciled, but the current hardware or infrastructure issue is card retention and connector seating were not completed to the platform standard. The option “reseat the GPU using documented retention and torque procedures” is more directly tied to the required outcome.
Question 166
An engineer claims the change 'reseat the GPU using documented retention and torque procedures' restored readiness. Which measurable test result would substantiate that claim?
thermal stress run and hardware inspections meet post-service acceptance
repeated boot and stress testing shows stable GPU enumeration
chassis fit check and fan telemetry satisfy service specifications
discovered UUID and serial match the approved replacement record
Explanation
Correct Answer
B:
Correct. The test directly checks whether card retention and connector seating were not completed to the platform standard has been remediated. That result supports operational acceptance rather than only configuration presence.
Incorrect Answers
A:
“thermal stress run and hardware inspections meet post-service acceptance” addresses physical reassembly and cooling acceptance were skipped, but the current hardware or infrastructure issue is card retention and connector seating were not completed to the platform standard. The option “repeated boot and stress testing shows stable GPU enumeration” is more directly tied to the required outcome.
C:
“chassis fit check and fan telemetry satisfy service specifications” addresses physical compatibility and airflow clearance were not confirmed, but the current hardware or infrastructure issue is card retention and connector seating were not completed to the platform standard. The option “repeated boot and stress testing shows stable GPU enumeration” is more directly tied to the required outcome.
D:
“discovered UUID and serial match the approved replacement record” addresses hardware replacement identity and logical inventory were not reconciled, but the current hardware or infrastructure issue is card retention and connector seating were not completed to the platform standard. The option “repeated boot and stress testing shows stable GPU enumeration” is more directly tied to the required outcome.
Question 167
A validation report notes: a technician substitutes a generic thermal pad when reinstalling the GPU heatsink after service. What is the MOST defensible next action?
use the platform-qualified board form factor and carrier assembly
install the correct vendor-specified thermal interface components
reseat the GPU using documented retention and torque procedures
power down and isolate the node following the qualified service procedure
Explanation
Correct Answer
B:
Correct. The incident follows from thermal interface material does not meet approved contact and resistance requirements. This action changes the failing dependency, with GPU temperature and clocks remain within limits under extended load as a measurable success criterion.
Incorrect Answers
A:
Useful for physical compatibility and airflow clearance were not confirmed, but it does not remove the specific condition: thermal interface material does not meet approved contact and resistance requirements.
C:
“reseat the GPU using documented retention and torque procedures” addresses card retention and connector seating were not completed to the platform standard, but the current hardware or infrastructure issue is thermal interface material does not meet approved contact and resistance requirements. The option “install the correct vendor-specified thermal interface components” is more directly tied to the required outcome.
D:
“power down and isolate the node following the qualified service procedure” addresses physical GPU servicing omitted safe shutdown and isolation prerequisites, but the current hardware or infrastructure issue is thermal interface material does not meet approved contact and resistance requirements. The option “install the correct vendor-specified thermal interface components” is more directly tied to the required outcome.
Question 168
The site has performed 'install the correct vendor-specified thermal interface components'. Which direct result is needed to close this issue rather than merely check a configuration?
board power status is healthy and full-load draw stays within limits
lspci reports expected link width and cooling sensors remain healthy
GPU temperature and clocks remain within limits under extended load
chassis fit check and fan telemetry satisfy service specifications
Explanation
Correct Answer
C:
Correct. It specifically tests the outcome of the approved remediation. The failure mechanism was thermal interface material does not meet approved contact and resistance requirements; the listed result demonstrates the expected behavior.
Incorrect Answers
A:
“board power status is healthy and full-load draw stays within limits” addresses the GPU power connection and supply budget are incomplete, but the current hardware or infrastructure issue is thermal interface material does not meet approved contact and resistance requirements. The option “GPU temperature and clocks remain within limits under extended load” is more directly tied to the required outcome.
B:
“lspci reports expected link width and cooling sensors remain healthy” addresses installation slot choice violates platform mechanical and electrical constraints, but the current hardware or infrastructure issue is thermal interface material does not meet approved contact and resistance requirements. The option “GPU temperature and clocks remain within limits under extended load” is more directly tied to the required outcome.
D:
“chassis fit check and fan telemetry satisfy service specifications” addresses physical compatibility and airflow clearance were not confirmed, but the current hardware or infrastructure issue is thermal interface material does not meet approved contact and resistance requirements. The option “GPU temperature and clocks remain within limits under extended load” is more directly tied to the required outcome.
Question 169
A server receives a high-power accelerator but the auxiliary power connectors are not attached. Which corrective action is MOST appropriate before commissioning can proceed?
power down and isolate the node following the qualified service procedure
connect approved auxiliary power harnesses and validate PSU headroom
reinstall and validate the specified GPU interconnect hardware
reseat the GPU using documented retention and torque procedures
Explanation
Correct Answer
B:
Correct. This is the corrective step for the GPU power connection and supply budget are incomplete; it addresses the failure at its source. The confirming observation is board power status is healthy and full-load draw stays within limits.
Incorrect Answers
A:
“power down and isolate the node following the qualified service procedure” addresses physical GPU servicing omitted safe shutdown and isolation prerequisites, but the current hardware or infrastructure issue is the GPU power connection and supply budget are incomplete. The option “connect approved auxiliary power harnesses and validate PSU headroom” is more directly tied to the required outcome.
C:
Useful for high-speed intra-node GPU cabling was omitted during hardware assembly, but it does not remove the specific condition: the GPU power connection and supply budget are incomplete.
D:
“reseat the GPU using documented retention and torque procedures” addresses card retention and connector seating were not completed to the platform standard, but the current hardware or infrastructure issue is the GPU power connection and supply budget are incomplete. The option “connect approved auxiliary power harnesses and validate PSU headroom” is more directly tied to the required outcome.
Question 170
The implementation team reports that it has completed 'connect approved auxiliary power harnesses and validate PSU headroom'. Which evidence should the acceptance reviewer request?
GPU temperature and clocks remain within limits under extended load
board power status is healthy and full-load draw stays within limits
approved service checklist shows power isolation before any board handling
lspci reports expected link width and cooling sensors remain healthy
Explanation
Correct Answer
B:
Correct. The test directly checks whether the GPU power connection and supply budget are incomplete has been remediated. That result supports operational acceptance rather than only configuration presence.
Incorrect Answers
A:
“GPU temperature and clocks remain within limits under extended load” addresses thermal interface material does not meet approved contact and resistance requirements, but the current hardware or infrastructure issue is the GPU power connection and supply budget are incomplete. The option “board power status is healthy and full-load draw stays within limits” is more directly tied to the required outcome.
C:
“approved service checklist shows power isolation before any board handling” addresses physical GPU servicing omitted safe shutdown and isolation prerequisites, but the current hardware or infrastructure issue is the GPU power connection and supply budget are incomplete. The option “board power status is healthy and full-load draw stays within limits” is more directly tied to the required outcome.
D:
“lspci reports expected link width and cooling sensors remain healthy” addresses installation slot choice violates platform mechanical and electrical constraints, but the current hardware or infrastructure issue is the GPU power connection and supply budget are incomplete. The option “board power status is healthy and full-load draw stays within limits” is more directly tied to the required outcome.
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NVIDIA NCP-AII Practice Test Questions, NVIDIA NCP-AII Exam Practice Test Questions
Looking to pass your tests the first time. You can study with NVIDIA NCP-AII certification practice test questions and answers, study guide, training courses. With Exam-Labs VCE files you can prepare with NVIDIA NCP-AII NCP-AI Infrastructure exam practice test questions and answers. The most complete solution for passing with NVIDIA certification NCP-AII exam practice test questions and answers, study guide, training course.
NCP-AII: NVIDIA AI Infrastructure Professional
NCP-AII is NVIDIA’s professional certification for deploying, configuring, and validating advanced AI infrastructure. The current exam is remotely proctored, lasts 120 minutes, and lists roughly 70–75 questions. NVIDIA recommends two to three years of operational data-center experience with NVIDIA hardware solutions, which is a useful indicator of the expected depth: this is a deployment credential for practitioners, not an introduction to GPU terminology.
The blueprint is heavily weighted toward hands-on infrastructure outcomes. System and Server Bring-up accounts for 31 percent, Physical Layer Management 5 percent, Control Plane Installation and Configuration 19 percent, and Cluster Test and Verification 33 percent, with the remaining objectives focused on troubleshooting and related operational tasks. Candidates need to understand how an AI platform is assembled, proven healthy, and made ready for workloads.
The natural foundation is NCA-AIIO, which explains the broader AI infrastructure model. NCP-AII then goes deeper into implementation. It is complementary to NCP-AIN for the network fabric and NCP-AIO for ongoing cluster operations.
Professional-level infrastructure work starts with controlled server bring-up
The largest implementation domain begins before an operating system is useful. Candidates need to understand deployment sequencing, BMC and out-of-band management, TPM-related setup, firmware, fault detection, power and cooling validation, GPU installation, cable and transceiver checks, and the initial proof that hardware behaves as expected. Each step is a dependency for the next one.
The important habit is to treat bring-up as a validation process rather than an installation checklist. A server that powers on may still have the wrong firmware, an unhealthy accelerator, a cabling problem, or a thermal condition that appears only under load. Professional engineers establish a known baseline before adding cluster software so later failures can be traced to the correct layer.
Bring-up also has a documentation dimension. Serial numbers, component inventory, firmware baselines, cable maps, management addresses, and test results should be captured as the system is built. That record becomes the reference for warranty work, replacement hardware, future expansion, and incident comparison. In a large cluster, undocumented differences between nodes can become operational debt very quickly.
AI factory topology makes physical connectivity part of system design
NVIDIA’s blueprint expects candidates to understand network topologies for AI factories and to validate the physical links that support them. Accelerator clusters depend on predictable east-west communication, and small cabling or transceiver errors can produce large performance effects when collective operations span many nodes.
The networking concepts in Ethernet switching are still relevant, but an AI fabric also introduces high-speed interconnect choices, rail-oriented layouts, RDMA behavior, and strict performance expectations. NCP-AII candidates do not need to replace a specialist network engineer, yet they must know enough to verify that the infrastructure handed to the cluster is suitable.
Control-plane installation creates the software environment that makes hardware usable
The control-plane domain includes installing Base Command Manager, configuring high availability, installing operating systems, building the cluster, configuring interfaces, and installing components such as Slurm, Enroot, Pyxis, GPU drivers, DOCA drivers, the NVIDIA Container Toolkit, and NGC tooling. The challenge is the dependency graph among those components.
Version compatibility is critical. Drivers, firmware, container runtimes, orchestration tools, and workload libraries can all constrain one another. A professional candidate should understand how to consult support matrices, stage an update, validate the result, and avoid creating a cluster where each component is individually installed but the whole stack is unsupported.
Base Command Manager and related control-plane tooling should be understood in terms of function rather than screen location. Candidates need to know how node categories, images, interfaces, provisioning, software distribution, and high-availability controls contribute to consistent cluster state. If one node differs from its peers, the engineer should be able to determine whether the drift came from provisioning, a failed update, or a deliberate exception.
Containers and schedulers connect infrastructure to real AI workloads
Modern AI environments commonly use containers to package software and schedulers to allocate scarce accelerator resources. The exam includes using NVIDIA GPUs with Docker and preparing cluster components such as Slurm and container integrations. Candidates should understand why containers improve reproducibility while still depending on the host driver, runtime configuration, device exposure, networking, and storage.
The broader distinction between containers and virtualized environments helps frame the design choices. A container is not a hardware abstraction that removes every host dependency. For GPU workloads, the relationship among the host, driver, runtime, image, and scheduler has to remain visible during troubleshooting.
Schedulers also expose infrastructure policy. Slurm partitions, resource requests, priorities, and job placement influence which workloads reach which accelerators. Even when NCP-AII is focused on deployment, the engineer must verify that the installed scheduler can see the hardware correctly and that a representative workload can be placed and executed without hidden device or topology problems.
Cluster verification is a performance proof, not a green status light
NVIDIA assigns 33 percent of the blueprint to cluster test and verification. Objectives include single-node stress tests, HPL, NCCL, signal-quality checks, firmware confirmation on switches and BlueField components, ClusterKit assessments, fabric-bandwidth verification, and burn-in testing. This reflects a fundamental services principle: a cluster is not ready merely because it formed successfully.
Candidates should understand what each test proves. HPL stresses floating-point compute and broader system behavior, while NCCL exercises GPU communication paths and can reveal fabric or topology problems. A signal-quality or cable test answers a different question from a software health check. The professional skill is selecting the right test for the failure hypothesis and interpreting the result in context.
Burn-in should be planned so that it stresses the system without obscuring the cause of a failure. Running every possible test simultaneously may produce impressive load while making diagnosis difficult. A better validation sequence establishes single-node health, then intra-node GPU communication, then inter-node fabric behavior, and finally sustained cluster-scale tests. The sequence narrows the point at which a defect appears.
Acceptance testing should also compare the assembled cluster with a declared baseline. The point is not merely to produce one fast benchmark run; it is to prove that nodes behave consistently enough to enter service. Outliers in GPU health, interconnect throughput, thermals, firmware, or storage access deserve investigation even when the aggregate result looks acceptable. A professional handoff should therefore include expected ranges, failed or deferred tests, remediation notes, and a clear statement of which evidence demonstrates that the infrastructure is ready for production workloads.
Power, cooling, and hardware validation remain relevant under sustained load
AI systems can pass an idle inspection and fail during sustained work if power delivery, thermal headroom, or cooling is inadequate. The bring-up objectives therefore include validating facility parameters before burn-in. Candidates should be able to explain why load testing belongs after physical and firmware checks and before declaring the system production-ready.
This is where general data-center design becomes operational. Rack power, airflow, cooling strategy, service clearances, and monitoring all influence the reliability of expensive accelerator systems. Infrastructure teams need a common language with facilities teams because neither side can validate the deployment alone.
Troubleshooting should preserve evidence across hardware and software layers
Professional AI infrastructure failures rarely announce which layer is responsible. A workload error can originate in a GPU, transceiver, switch, firmware mismatch, driver, container runtime, scheduler, storage system, or application. NCP-AII preparation should therefore practice evidence collection from the lowest physical layer through the control plane before making changes.
A disciplined process begins with scope and recent change. Compare affected and healthy nodes, inspect hardware telemetry, verify versions, test the fabric, reproduce the failure with a known workload, and make one controlled correction. If the problem is escalated, the collected evidence should allow another engineer to continue from the same point rather than restart diagnosis.
Storage deserves explicit attention because training and validation tools can themselves create heavy I/O. If compute and fabric tests pass but workloads stall while loading datasets or writing checkpoints, the storage path may be the limiting layer. Candidates should know how to distinguish a compute-bound test from an I/O-bound workload before concluding that the GPUs or network are underperforming.
A useful isolation technique is to change one dimension at a time. If the same workload fails only on one node, compare that node with a healthy peer before changing cluster-wide configuration. If several nodes fail across the same fabric path, shift attention toward switching, cabling, transceivers, or collective-communication behavior. If failures begin immediately after a driver or image change, test the version boundary before replacing hardware. This controlled comparison prevents expensive component swaps from becoming substitutes for diagnosis and makes the final root-cause record defensible.
Study should culminate in a documented build-and-validate runbook
A good NCP-AII lab starts with a blank or reset environment and ends with a cluster that has passed defined acceptance tests. Record BMC settings, firmware, network interfaces, driver versions, container runtime, scheduler configuration, and validation results. Then deliberately break one dependency and demonstrate that the runbook helps locate the problem.
Use NVIDIA documentation and the current exam blueprint as the authority for supported procedures. The strongest preparation does not merely memorize the names of HPL, NCCL, BCM, or NGC; it explains why each belongs in the deployment lifecycle, what evidence it produces, and what decision an engineer can make from that evidence.
For final review, walk through the build in dependency order and state the acceptance criterion for each layer. If you cannot say what “good” looks like for firmware, cabling, drivers, fabric, scheduler, and stress testing, the corresponding section deserves another lab pass.
Candidates should also rehearse the handoff from commissioning to operations: what monitoring remains active, which baselines are retained, how configuration drift is detected, and what evidence an operations team needs when a node later departs from the accepted state.
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NVIDIA NCP-AII Exam Practice Test Questions, NVIDIA NCP-AII Practice Test Questions and Answers
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