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Pass HP : HPE2-B08 Exam - Certification Training Testing Engine - No Pass Full Refund

Exam Code: HPE2-B08

Exam Name: HPE Private Cloud AI Solutions

Updated: Jun 21, 2026

Number: 87 Q&As with Testing Engine

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HPE Private Cloud AI Solutions Sample Questions:

1. An AI development team is training a large language model that exceeds the memory capacity of a single GPU. To continue training, they need to distribute the workload across multiple GPUs within the same server.
Which combination of HPE server and NVIDIA technology is specifically designed to provide a high- bandwidth, direct communication path between GPUs, bypassing the PCIe bus for improved performance in multi-GPU training?

A) HPE ProLiant DL325 Gen11 server with NVIDIA L4 GPUs
B) HPE Alletra Storage MP with RoCE-capable network adapters
C) HPE ProLiant DL380a Gen11 server with GPUDirect Storage (GDS)
D) HPE ProLiant DL380a Gen12 server with an NVIDIA NVLink Bridge


2. A customer in the media and entertainment industry wants a solution to accelerate the creation of 3D animations and renderings. Their artists need to be able to generate complex visual AI content quickly.
The company has a mature AI practice and requires a powerful, data center-based solution.
Which HPE ProLiant server and NVIDIA GPU combination is purpose-built for these generative visual AI workloads?

A) HPE ProLiant DL380a Gen12 server with an NVIDIA NVLink Bridge but no GPUs
B) HPE ProLiant DL380a Gen11 server with NVIDIA L40S GPUs
C) HPE ProLiant DL320 Gen11 server with NVIDIA L4 GPUs
D) HPE ProLiant DL380a Gen11 server with CPU-only configuration


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


4. In a Natural Language Processing (NLP) task, what is the role of a tokenizer?

A) To apply a final activation function to determine the output class.
B) To train the neural network using backpropagation.
C) To encrypt the input text to ensure data privacy during model training.
D) To convert a sentence of raw text into a sequence of numerical tokens that a model can process.


5. An architect is designing an infrastructure solution for an AI workload that involves processing massive datasets for training. The goal is to minimize data transfer latency between the storage system and the GPUs in the compute nodes. The architect wants to enable the NVIDIA GPUs to fetch data directly from the NVMe storage array, bypassing the server's CPU and main memory.
Review the proposed architectural components:
```
- Compute Nodes: HPE ProLiant DL380a Gen11 with NVIDIA H100 GPUs
- Storage: HPE GreenLake for File Storage
- Interconnect: Ethernet with RoCE support
```
Which technology must be enabled and properly configured across these components to achieve this direct GPU-to-storage data path? (Choose 2.)

A) Multi-Instance GPU (MIG)
B) Confidential Computing
C) NVLink
D) RDMA over Converged Ethernet (RoCE)
E) GPUDirect Storage (GDS)


Solutions:

Question # 1
Answer: D
Question # 2
Answer: B
Question # 3
Answer: B,C,E
Question # 4
Answer: D
Question # 5
Answer: D,E

HPE2-B08 Related Exams
HPE0-V25 - HPE Hybrid Cloud Solutions
HPE0-V25-KR - HPE Hybrid Cloud Solutions (HPE0-V25 Korean Version)
HPE0-V25J - HPE Hybrid Cloud Solutions (HPE0-V25日本語版)
HPE0-V26J - Delta - HPE Hybrid Cloud Solutions (HPE0-V26日本語版)
HPE0-V26 - Delta - HPE Hybrid Cloud Solutions
HPE2-B08 - HPE Private Cloud AI Solutions
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