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HPE Private Cloud AI Solutions Sample Questions:
1. A large enterprise is adopting HPE Private Cloud AI and needs to accelerate the development of several generative AI applications. Their data science team wants to leverage pre-trained foundation models from NVIDIA but needs to customize them for specific business tasks like contract summarization and internal policy Q&A.
Which NVIDIA AI Enterprise software framework provides a comprehensive, end-to-end toolkit for curating data, customizing models using techniques like PEFT, and implementing guardrails for safe deployment?
```
Customer Goal:
- Accelerate development of custom generative AI apps
- Utilize pre-trained foundation models
- Require tools for data prep, model customization, and safety
```
A) NVIDIA NIM (NVIDIA Inference Microservices)
B) NVIDIA Triton Inference Server
C) NVIDIA NeMo
D) NVIDIA RAPIDS
2. An enterprise is designing a solution for training a large, custom Convolutional Neural Network (CNN) for a new computer vision application. Their data science team has determined that the training process will need to be distributed across multiple GPUs to be completed in a reasonable timeframe. The training process involves intensive matrix multiplication operations.
The architect is specifying components from the HPE Private Cloud AI solution.
Which infrastructure components are critical for accelerating this specific distributed training workload?
(Select all that apply.)
```
Workload Analysis:
- AI Model: Large Convolutional Neural Network (CNN)
- Task: Distributed Training
- Key Operation: Intensive matrix multiplication
```
A) NVIDIA GPUs featuring multiple Tensor Cores.
B) The HPE Data Fabric software component.
C) HPE GreenLake for File Storage with standard NFS over TCP/IP.
D) HPE ProLiant DL325 servers for the worker nodes.
E) An NVIDIA NVLink Bridge to connect the GPUs.
3. A customer needs to run a generative AI workload at multiple, dispersed edge locations. Each location has significant space and power constraints. The workload is inference-only and does not require the absolute highest performance, but rather a balance of good performance and energy efficiency.
Which HPE ProLiant server and NVIDIA GPU combination is specifically positioned for this type of edge AI use case?
A) HPE ProLiant DL380a server with NVIDIA H100 NVL GPUs
B) HPE Cray system with NVIDIA Grace Hopper Superchips
C) HPE ProLiant DL320 Gen11 server with NVIDIA L4 GPUs
D) HPE ProLiant DL384 Gen12 server with NVIDIA H200 NVL GPUs
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 valid, bring-your-own-license (BYOL) for VMware vSphere Foundation (VVF) or VMware Cloud Foundation (VCF).
B) A list of all end-users who will access the system.
C) A subscription to the NVIDIA NGC catalog for downloading AI models.
D) A rack elevation diagram for the data center.
5. 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) 16x NVIDIA H100 NVL GPUs
B) 2x NVIDIA SN4700M Switches
C) 1x HPE ProLiant DL380a Gen11 Server
D) 4x HPE ProLiant DL380a Gen11 Servers
E) 16x NVIDIA L40S GPUs
F) 2x HPE Aruba Networking CX 6300M Switches
Solutions:
| Question # 1 Answer: C | Question # 2 Answer: A,E | Question # 3 Answer: C | Question # 4 Answer: A | Question # 5 Answer: B,D,E,F |





