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HPE Private Cloud AI Solutions Sample Questions:

1. An AI application is being developed to analyze financial time-series data to predict stock market trends. The model needs to understand long-term dependencies and the sequence in which data points occur.
Which neural network architecture is specifically designed to handle sequential data like text or time- series?

A) Convolutional Neural Network (CNN)
B) K-Means Clustering Algorithm
C) Transformer model
D) A fully connected, feedforward neural network

2. An architect is explaining the HPE Private Cloud AI configurations to a customer.
What is the key differentiator between the "Large" configuration and the "Small" and "Medium" configurations in terms of hardware?

A) The Large configuration is the only one that includes HPE GreenLake for File Storage.
B) The Large configuration uses AMD processors, while the Small and Medium configurations use Intel processors.
C) The Large configuration is deployed in a single rack, while the Small and Medium require two racks.
D) The Large configuration uses NVIDIA H100 NVL GPUs, while the Small and Medium configurations use NVIDIA L40S GPUs.

3. A customer is expanding their HPE Private Cloud AI "Medium" configuration to support a new generative AI inferencing workload. They are concerned about network congestion and latency, as the AI workload is known to generate large, sudden bursts of traffic between the compute nodes and the storage system.
The solution uses NVIDIA Spectrum SN4700M switches for the AI interconnect.
Which feature of these switches is specifically designed to handle bursty traffic and prevent packet loss in a lossless Ethernet fabric?

A) Integrated Silicon Root of Trust to validate the switch firmware integrity.
B) Support for Fibre Channel over Ethernet (FCoE) encapsulation.
C) A fully shared buffer architecture that can dynamically absorb traffic bursts from any port.
D) The ability to route traffic based on application-layer metadata.

4. An architect is selecting the appropriate HPE Private Cloud AI configuration for a customer. The customer's primary workload is fine-tuning a 70B parameter model, a task that is extremely sensitive to compute latency and requires the highest possible performance for multi-node distributed training.
Which specific infrastructure components included in the "Large" configuration of HPE Private Cloud AI are essential for meeting this high-performance training requirement? (Select all that apply.)

A) NVIDIA NVLink Bridge
B) HPE Aruba Networking CX 6300M switches
C) NVIDIA L40S GPUs
D) NVIDIA SN4700M switches supporting 200GbE RoCE
E) NVIDIA H100 NVL GPUs

5. A customer's distributed AI training job is experiencing poor performance. An analysis reveals high network latency. The architect suspects a misconfiguration in the NVIDIA Spectrum switches that form the RoCE-based AI fabric.
They review the following configuration snippet from one of the switch ports connected to a compute node:
```
interface ethernet 1/1
description "Connection to PCAI-Node-1"
speed 200G
mtu 9216
switchport mode trunk
## Priority Flow Control (PFC) is disabled on this port
```
What is the most likely cause of the performance issue?

A) The MTU size is too small for AI workloads.
B) Priority Flow Control (PFC) is disabled, which is mandatory for a lossless RoCE fabric.
C) The port speed is not sufficient for the connected H100 GPU.
D) The port is incorrectly configured in trunk mode instead of access mode.

Solutions: