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HPE Private Cloud AI Solutions Sample Questions:

1. An architect is building a final configuration for an HPE Private Cloud AI solution using One Config Advanced (OCA). After selecting the "HPE Private Cloud AI - Medium Expanded" Smart Template, they review the generated Bill of Materials (BOM).
Which components are characteristic of the Medium Expanded configuration that the architect should expect to see in the OCA-generated BOM? (Select all that apply.)

A) 1x HPE ProLiant DL380a Gen11 Server
B) 4x HPE ProLiant DL380a Gen11 Servers
C) 16x NVIDIA H100 NVL GPUs
D) 2x HPE Aruba Networking CX 6300M Switches
E) 2x NVIDIA SN4700M Switches
F) 16x NVIDIA L40S GPUs

2. An architect is sizing an HPE Private Cloud AI solution. The customer plans to deploy a generative AI application for 150 concurrent users that requires Retrieval-Augmented Generation (RAG).
The architect enters the following into the HPE Intelligent Configurator:
```
- Use case: Text Generation
- Number of users: 100-250
- RAG: Yes
- Model: Llama 2 13B (tool default for this use case)
```
Based on the provided inputs, which HPE Private Cloud AI configuration will the HPE Intelligent Configurator most likely recommend?

A) Small - Standard (1-node)
B) Large - Standard (4-node)
C) Small - Expanded (2-node)
D) Medium - Expanded (4-node)

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

4. The three pre-defined sizes (Small, Medium, Large) of HPE Private Cloud AI are designed to address different primary workloads. Match the configuration size to its intended primary workload.
*Configuration Size:
1. Small
2. Medium
3. Large
*Primary Workload:
a. AI Inferencing with RAG and large-scale Fine-Tuning
b. AI Inferencing
c. AI Inferencing with RAG

A) 1-a, 2-b, 3-c
B) 1-b, 2-a, 3-c
C) 1-b, 2-c, 3-a
D) 1-c, 2-a, 3-b

5. An enterprise wants to deploy pre-trained foundation models from various sources for multiple business units. A key requirement is to simplify and standardize the deployment process, regardless of the model's origin. They want a solution that packages models into scalable, optimized, and easy-to-use microservices with a standard API.
Which component of the NVIDIA AI Enterprise software suite directly addresses this need?

A) NVIDIA NeMo
B) NVIDIA Triton Inference Server
C) NVIDIA NIM (NVIDIA Inference Microservices)
D) NVIDIA TAO Toolkit

Solutions: