NCA-AIIO Exam Questions
65 real NCA-AIIO exam questions with expert-verified answers and explanations. Page 1 of 2.
- Question #1NVIDIA Infrastructure and Operations
A company is implementing a new network architecture and needs to consider the requirements and considerations for training and inference. Which of the following statements is true...
Training architectureInference architectureAI system designPerformance optimization - Question #2NVIDIA AI Platform and Ecosystem
For which workloads is NVIDIA Merlin typically used?
NVIDIA MerlinRecommender SystemsAI FrameworksWorkloads - Question #3NVIDIA AI Platform and Ecosystem
Which NVIDIA parallel computing platform and programming model allows developers to program in popular languages and express parallelism through extensions?
CUDAParallel ComputingProgramming ModelNVIDIA Platform - Question #4NVIDIA Certified Associate (NCA) Core AI Concepts
Which of the following aspects have led to an increase in the adoption of AI? (Choose two.)
AI enablersGPU technologyData availabilityAI adoption factors - Question #5NVIDIA Certified Associate (NCA) Core AI Concepts
In training and inference architecture requirements, what is the main difference between training and inference?
AI workflowTraining vs InferenceResource requirementsMachine learning concepts - Question #6NVIDIA Certified Associate (NCA) Core AI Concepts
Which of the following statements is true about GPUs and CPUs?
GPUCPUParallel computingSerial computing - Question #7NVIDIA Infrastructure and Operations
Which two components are included in GPU Operator? (Choose two.)
GPU OperatorNVIDIA DriversDCGMKubernetes - Question #8NVIDIA Infrastructure and Operations
Which phase of deep learning benefits the greatest from a multi-node architecture?
Deep Learning WorkflowDistributed ComputingTraining OptimizationMulti-node Architecture - Question #9NVIDIA Certified Associate (NCA) Core AI Concepts
Which architecture is the core concept behind large language models?
Large Language ModelsTransformer ArchitectureNeural Network ArchitecturesDeep Learning Fundamentals - Question #10NVIDIA AI Platform and Ecosystem
What is a key value of using NVIDIA NIMs?
NVIDIA NIMsAI Model DeploymentInference Microservices - Question #11NVIDIA AI Platform and Ecosystem
The foundation of the NVIDIA software stack is the DGX OS. Which of the following Linux distributions is DGX OS built upon?
NVIDIA DGX OSLinux DistributionsNVIDIA Software Stack - Question #12NVIDIA AI Platform and Ecosystem
What is the name of NVIDIA's SDK that accelerates machine learning?
cuDNNDeep Learning LibrariesNVIDIA SDKsML Acceleration - Question #13NVIDIA Certified Associate (NCA) Core AI Concepts
Which aspect of computing uses large amounts of data to train complex neural networks?
Deep LearningNeural NetworksMachine LearningAI Concepts - Question #14NVIDIA Certified Associate (NCA) Core AI Concepts
Which of the following statements correctly differentiates between AI, Machine Learning, and Deep Learning?
AI conceptsMachine LearningDeep LearningAI terminology - Question #15NVIDIA Certified Associate (NCA) Core AI Concepts
How is the architecture different in a GPU versus a CPU?
GPU ArchitectureCPU vs GPUParallel ProcessingSIMD - Question #16NVIDIA Certified Associate (NCA) Core AI Concepts
What factors have led to significant breakthroughs in Deep Learning?
Deep Learning breakthroughsHardware advancementsLarge datasetsTraining algorithms - Question #17NVIDIA Certified Associate (NCA) Core AI Concepts
Which type of GPU core was specifically designed to realistically simulate the lighting of a scene?
GPU ArchitectureRay Tracing CoresNVIDIA GPUsLighting Simulation - Question #18NVIDIA AI Platform and Ecosystem
Which GPUs should be used when training a neural network for self-driving cars?
GPU selectionAI training hardwareNVIDIA H100Deep learning hardware - Question #19NVIDIA Certified Associate (NCA) Core AI Concepts
A customer is evaluating an AI cluster for training and is questioning why they should use a large number of nodes. Why would multi-node training be advantageous?
Multi-node trainingDistributed trainingGPU memoryModel scaling - Question #20NVIDIA Infrastructure and Operations
When should RoCE be considered to enhance network performance in a multi-node AI computing environment?
RoCERDMANetwork PerformanceCPU Offload - Question #21NVIDIA Infrastructure and Operations
Which are three key features of InfiniBand networking technology?
InfiniBandNetworkingHPC InterconnectsRDMA - Question #22NVIDIA Infrastructure and Operations
An IT professional is considering whether to implement an on-prem or cloud infrastructure. Which of the following is a key advantage of on-prem infrastructure?
On-premise infrastructureCloud computingData securityData sovereignty - Question #23NVIDIA Infrastructure and Operations
Which feature of RDMA reduces CPU utilization and lowers latency?
RDMAHardware offloadingCPU utilizationLatency - Question #24NVIDIA Infrastructure and Operations
What is one key advantage that Cloud GPU Infrastructure has over On-Prem GPU infrastructure?
Cloud GPUOn-premise GPUInfrastructure comparisonCost efficiency - Question #25NVIDIA Infrastructure and Operations
When training a neural network, what is the most common pattern of storage access?
Neural Network TrainingData LoadingStorage I/OSequential Read - Question #26NVIDIA Infrastructure and Operations
How many distinct network fabrics are in an AI cluster?
AI cluster architectureNetwork fabricsNVIDIA InfrastructureNetworking components - Question #27NVIDIA AI Platform and Ecosystem
How many 1 Gb Ethernet in-band network connections are in a DGX H100 system?
DGX H100NetworkingEthernetHardware Specifications - Question #28NVIDIA Infrastructure and Operations
How many Mellanox ConnectX-6 Single Port VPI cards are in a DGX A100 system?
DGX A100ConnectX-6InfinibandHardware specifications - Question #29NVIDIA Infrastructure and Operations
Which is the best PUE value for a data center?
PUEData Center EfficiencyInfrastructure MetricsEnergy Management - Question #30NVIDIA AI Platform and Ecosystem
Which solution should be recommended to support real-time collaboration and rendering among a team?
NVIDIA RTXReal-time renderingCollaborative visualizationGPU selection - Question #31Performance, Troubleshooting and Security
What is a key benefit of using NVIDIA GPUDirect RDMA in an AI environment?
GPUDirect RDMAData Transfer OptimizationGPU Performance - Question #32NVIDIA AI Platform and Ecosystem
What enables moving data between GPU memory and local or remote storage without using the CPU?
GPUDirect StorageGPU data transferZero-copy I/OStorage acceleration - Question #33NVIDIA Infrastructure and Operations
When using an InfiniBand network for an AI infrastructure, which software component is necessary for the fabric to function?
InfiniBandNetworkingFabric ManagementSubnet Manager - Question #34NVIDIA Infrastructure and Operations
When deploying high-density workloads in a data center, what are the three main resource constraints that need to be considered?
Data center infrastructureHigh-density computingPower managementCooling - Question #35NVIDIA Infrastructure and Operations
What is an advantage of InfiniBand over Ethernet?
InfiniBandEthernetNetwork latencyHigh-performance networking - Question #36NVIDIA Infrastructure and Operations
In a data center, what is the purpose and benefit of a DPU?
DPUData Center InfrastructureWorkload OffloadAcceleration - Question #37NVIDIA Infrastructure and Operations
Which of the following statements is true about Kubernetes orchestration?
Container OrchestrationKubernetes SchedulingKubernetes ServicesLoad Balancing - Question #38NVIDIA Infrastructure and Operations
In an AI cluster, what is the purpose of job scheduling?
Job schedulingResource allocationAI cluster management - Question #39NVIDIA Infrastructure and Operations
In an AI cluster, what is the importance of using Slurm?
SlurmJob SchedulingResource AllocationCluster Management - Question #40NVIDIA Infrastructure and Operations
What NVIDIA tool should a data center administrator use to monitor NVIDIA GPUs?
GPU monitoringData Center ManagementNVIDIA ToolsDCGM - Question #41NVIDIA Infrastructure and Operations
What is the primary command for checking the GPU utilization on a single DGX H100 system?
GPU monitoringnvidia-smi commandNVIDIA utilitiesDGX systems - Question #42NVIDIA Infrastructure and Operations
What is a common tool for container orchestration in AI clusters?
Container orchestrationKubernetesAI infrastructure - Question #43NVIDIA Infrastructure and Operations
Which of the following NVIDIA tools is primarily used for monitoring and managing AI infrastructure in the enterprise?
AI infrastructure managementNVIDIA Base CommandEnterprise AI toolsMonitoring tools - Question #44NVIDIA Infrastructure and Operations
Which NVIDIA software provides the capability to virtualize a GPU?
GPU VirtualizationNVIDIA vGPUInfrastructure SoftwareNVIDIA AI Infrastructure - Question #45Performance, Troubleshooting and Security
When monitoring a GPU-based workload, what is GPU utilization?
GPU utilizationPerformance monitoringGPU metricsWorkload monitoring - Question #46NVIDIA Infrastructure and Operations
What is the importance of a job scheduler in an AI resource-constrained cluster?
Job schedulingResource managementAI clustersOperational efficiency - Question #47NVIDIA Infrastructure and Operations
Which NVIDIA tool aids data center monitoring and management?
Data Center ManagementGPU MonitoringNVIDIA ToolsDCGM - Question #48NVIDIA Infrastructure and Operations
How is out-of-band management utilized by network operators in an AI environment?
Out-of-band managementNetwork operationsRemote managementTroubleshooting - Question #49NVIDIA Infrastructure and Operations
What is the maximum number of MIG instances that an H100 GPU provides?
MIGH100GPU FeaturesGPU Architecture - Question #50NVIDIA Infrastructure and Operations
What is a significant benefit of using containers in an AI development environment?
ContainersAI Development EnvironmentsSoftware PortabilityEnvironment Consistency