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HPE Private Cloud AI Solutions Sample Questions (Q31-Q36):
NEW QUESTION # 31
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 SN4700M switches supporting 200GbE RoCE
- B. NVIDIA H100 NVL GPUs
- C. NVIDIA L40S GPUs
- D. HPE Aruba Networking CX 6300M switches
- E. NVIDIA NVLink Bridge
Answer: A,B,E
NEW QUESTION # 32
When a developer deploys an AI model using an NVIDIA Inference Microservice (NIM) on HPE Private Cloud AI, the NIM automatically detects the underlying NVIDIA GPU hardware.
The developer sees the following status message upon deployment:
```
NIM Status:
- Model: mistral-7b-instruct-v0.2
- Status: Running
- Engine Profile: Selected 'TensorRT-LLM FP8' for optimal latency on detected Hopper-class GPU.
```
What does the selection of the 'TensorRT-LLM FP8' engine profile indicate?
- A. The NIM container is running on a CPU-only node and is emulating a GPU.
- B. The NIM container has failed because it requires an FP32 profile to run.
- C. The model is being automatically fine-tuned by the NIM using the TensorRT framework.
- D. The underlying GPU supports the Hopper architecture, and NIM has optimized the model using a lower precision format for faster performance.
Answer: D
NEW QUESTION # 33
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 port speed is not sufficient for the connected H100 GPU.
- B. The MTU size is too small for AI workloads.
- C. The port is incorrectly configured in trunk mode instead of access mode.
- D. Priority Flow Control (PFC) is disabled, which is mandatory for a lossless RoCE fabric.
Answer: D
NEW QUESTION # 34
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 deployed in a single rack, while the Small and Medium require two racks.
- B. The Large configuration is the only one that includes HPE GreenLake for File Storage.
- C. The Large configuration uses AMD processors, while the Small and Medium configurations use Intel processors.
- D. The Large configuration uses NVIDIA H100 NVL GPUs, while the Small and Medium configurations use NVIDIA L40S GPUs.
Answer: D
NEW QUESTION # 35
A customer wants to build a configuration in One Config Advanced (OCA) for the HPE Private Cloud AI "Large - Standard" solution.
Which key components should the architect expect the Smart Template to include in the Bill of Materials (BOM)? (Choose 2.)
- A. HPE ProLiant DL380a Gen11 servers with NVIDIA L40S GPUs.
- B. 8 worker nodes.
- C. HPE Cray compute nodes.
- D. 4 worker nodes.
- E. HPE ProLiant DL380a Gen11 servers with NVIDIA H100 NVL GPUs.
Answer: D,E
NEW QUESTION # 36
......
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