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NCA-AIIO Practice Questions

NVIDIA-Certified Associate AI Infrastructure and Operations

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Total Questions : 71

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Question # 11

What is a common tool for container orchestration in AI clusters?

Options:

A.  

Kubernetes

B.  

MLOps

C.  

Slurm

D.  

Apptainer

Discussion 0
Question # 12

How is the architecture different in a GPU versus a CPU?

Options:

A.  

A GPU acts as a PCIe controller to maximize bandwidth.

B.  

A GPU is architected to support massively parallel execution of simple instructions.

C.  

A GPU is a single large and complex core to support massive compute operations.

Discussion 0
Question # 13

Which protocol is most critical for low-latency GPU-to-GPU transfers in large AI clusters using Ethernet?

Options:

A.  

DCTCP with ECN-based congestion control.

B.  

PFC-only lossless Ethernet without RDM

A.  

C.  

RDMA over Converged Ethernet, or RoC

E.  

D.  

iWARP, RDMA on TCP over Ethernet.

Discussion 0
Question # 14

Which NVIDIA technology provides the broadest ecosystem for parallel computation across languages?

Options:

A.  

cuGraph

B.  

OpenCL

C.  

Triton Inference Server

D.  

CUDA

Discussion 0
Question # 15

Which NVIDIA tool aids data center monitoring and management?

Options:

A.  

NVIDIA Mellanox Insight

B.  

NVIDIA Clara

C.  

NVIDIA TensorRT

D.  

NVIDIA DCGM

Discussion 0
Question # 16

Which two components are included in GPU Operator? (Choose two.)

Options:

A.  

Drivers

B.  

PyTorch

C.  

DCGM

D.  

TensorFlow

Discussion 0
Question # 17

What is the name of NVIDIA’s SDK that accelerates machine learning?

Options:

A.  

Clara

B.  

RAPIDS

C.  

cuDNN

Discussion 0
Question # 18

When using an InfiniBand network for an AI infrastructure, which software component is necessary for the fabric to function?

Options:

A.  

Verbs

B.  

MPI

C.  

OpenSM

Discussion 0
Question # 19

What NVIDIA tool should a data center administrator use to monitor NVIDIA GPUs?

Options:

A.  

NVIDIA System Monitor

B.  

NetQ

C.  

DCGM

Discussion 0
Question # 20

What is a key value of using NVIDIA NIMs?

Options:

A.  

They have community support.

B.  

They allow the deployment of NVIDIA SDKs.

C.  

They provide fast and simple deployment of AI models.

Discussion 0
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