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91% Same Questions
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Viewing questions 11-20 out of questions
Questions # 11:

Which feature of RDMA reduces CPU utilization and lowers latency?

Options:

A.

Increased memory buffer size.

B.

Network adapters that include hardware offloading.

C.

NVIDIA Magnum I/O software.

Questions # 12:

In a data center, what is the purpose and benefit of a DPU?

Options:

A.

A DPU is responsible for providing backup and disaster recovery solutions.

B.

A DPU is used for managing physical infrastructure, such as power and cooling.

C.

A DPU is responsible for managing network connections and security.

D.

A DPU is designed to offload, accelerate, and isolate infrastructure workloads.

Questions # 13:

When should RoCE be considered to enhance network performance in a multi-node AI computing environment?

Options:

A.

A network that experiences a high packet loss rate (PLR).

B.

A network with large amounts of storage traffic.

C.

A network that cannot utilize the full available bandwidth due to high CPU utilization.

Questions # 14:

Which NVIDIA parallel computing platform and programming model allows developers to program in popular languages and express parallelism through extensions?

Options:

A.

CUDA

B.

CUML

C.

CUGRAPH

Questions # 15:

Which NVIDIA tool aids data center monitoring and management?

Options:

A.

NVIDIA Mellanox Insight

B.

NVIDIA Clara

C.

NVIDIA TensorRT

D.

NVIDIA DCGM

Questions # 16:

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

Questions # 17:

Which of the following is a best practice for addressing model drift in AI operations?

Options:

A.

Increase hardware resources when accuracy drops.

B.

Monitor deployed models regularly and retrain with fresh data.

C.

Permit changes in input data distributions over time.

D.

Allow the model to generalize to any data.

Questions # 18:

What enables moving data between GPU memory and local or remote storage without using the CPU?

Options:

A.

NVLink

B.

GPUDirect P2P

C.

InfiniBand

D.

GPUDirect Storage

Questions # 19:

Which architecture, training or inference, requires more data storage?

Options:

A.

Inference architecture requires more data storage.

B.

Training architecture requires more data storage.

C.

Training and inference architecture require the same amount of data storage.

Questions # 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.

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