HP HPE2-B08 : HPE Private Cloud AI Solutions

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HP HPE2-B08 Exam Syllabus Topics:

HPE Private Cloud AI Solutions Sample Questions:

1. An architect is in a discovery call with a customer who describes their project: "Our primary goal is to take our massive, proprietary dataset of chemical compound interactions and continuously update our foundational AI model's internal parameters to create a new, specialized model for drug discovery. This process runs 24/7 on a large GPU cluster." How should the architect classify this primary AI workload?

A) AI Model Training / Fine-tuning
B) Retrieval-Augmented Generation (RAG)
C) Edge Computing
D) AI Inferencing

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

3. An architect is meeting with a prospective customer to determine the right HPE AI solution. The customer provides the following information about their situation.
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- AI Status: No formal AI strategy. One successful PoC for theft prevention using computer vision is running at a single store.
- Goal: Wants to explore creating a "digital twin" of their supply chain for simulation, but has no clear KPIs.
- Team: Two data scientists, one ML engineer.
- Infrastructure: Ad-hoc use of public cloud for the PoC; no standardized tech stack.
```
Based on this profile, which AI maturity level and corresponding HPE solution should the architect initially position? (Choose 2.)

A) Lead with HPE Private Cloud AI with NVIDIA.
B) Lead with HPE Cray systems for the digital twin simulation.
C) The customer is a 'Deployer of AI at scale'.
D) The customer is an 'Early AI user'.
E) The customer is an 'AI Pro'.

4. An architect has used the HPE Intelligent Configurator and determined that a "Medium - Standard" configuration is required.
When creating the final quote in One Config Advanced (OCA), what is the mandatory prerequisite that the customer is responsible for providing for the solution to be valid?

A) A subscription to the NVIDIA NGC catalog for downloading AI models.
B) A list of all end-users who will access the system.
C) A valid, bring-your-own-license (BYOL) for VMware vSphere Foundation (VVF) or VMware Cloud Foundation (VCF).
D) A rack elevation diagram for the data center.

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

Solutions: