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HPE Private Cloud AI Solutions Sample Questions:

1. A customer has used the HPE Intelligent Configurator and determined that the HPE Private Cloud AI
"Small - Expanded" configuration meets their needs. They now need to generate a final, quotable Bill of Materials (BOM).
What is the most direct and efficient method for the sales team to create this BOM?

A) Use the standard HPE ProLiant DL380a Gen11 server template in OCA and add the GPUs and networking manually.
B) Manually add each component (servers, GPUs, switches, cables, etc.) one by one into HPE One Config Advanced (OCA).
C) Select the "HPE Private Cloud AI - Small - Expanded" Smart Template within HPE One Config Advanced (OCA).
D) Send the output from the HPE Intelligent Configurator directly to the distribution partner for a quote.

2. An architect uses the HPE Intelligent Configurator for a customer with 120 concurrent users for a text generation task with RAG. The tool recommends a "Medium - Expanded (4-node)" configuration. The customer then reveals they want to use a smaller, more efficient 7B parameter model instead of the 13B model the tool defaulted to.
How will this change in model size likely affect the sizing tool's recommendation?

A) It will require the architect to switch to the "application capacity" sizing method.
B) It will downgrade the recommendation to a "Medium - Standard (2-node)" configuration.
C) It will have no effect, as the number of users is the primary factor.
D) It will upgrade the recommendation to a "Large - Standard (4-node)" configuration.

3. A customer at the 'Early AI User' maturity stage wants to begin using generative AI. Their primary concern is the complexity of deploying and managing the AI software stack. They are looking for a solution that accelerates their journey by providing a pre-integrated, enterprise-supported software platform for both development and deployment.
How do the software components of HPE Private Cloud AI address this customer's main challenge?
(Select all that apply.)
```
Customer Profile:
- Maturity: Early AI User
- Main Challenge: Complexity of AI software stack
- Goal: Accelerate adoption of generative AI
```

A) HPE AI Essentials provides a unified, self-service platform with curated open-source tools, eliminating integration complexity.
B) NVIDIAAI Enterprise provides enterprise-grade support, security, and API stability for the entire AI software stack.
C) NVIDIA NIMs drastically simplify the deployment of pre-trained models into production-ready microservices.
D) The software stack is limited to only HPE-developed tools to ensure a single point of contact.
E) The solution requires the customer to manually integrate all software components, which promotes learning.

4. An architect is assessing a customer's workloads to position the correct HPE Private Cloud AI configuration. The customer has a single, massive task: training a foundational vision model from scratch using a petabyte-scale image dataset. The project is expected to take months and requires the absolute maximum compute performance available.
Which AI workload type does this represent, and which HPE solution is most appropriate?

A) Workload: AI Inferencing; Solution: AI-optimized HPE ProLiant DL servers
B) Workload: RAG; Solution: HPE Private Cloud AI - Medium configuration
C) Workload: Edge Computing; Solution: HPE ProLiant DL320 server
D) Workload: AI Model Training; Solution: HPE Cray Systems

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) 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

Solutions: