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HPE Private Cloud AI Solutions Sample Questions:

1. An architect is using the HPE One Config Advanced (OCA) Smart Template for "HPE Private Cloud AI
- Small - Standard".
What is the worker node configuration they should expect to see in the generated Bill of Materials (BOM)?

A) 4x HPE ProLiant DL380a Gen11 servers with a total of 16x NVIDIA H100 NVL GPUs
B) 1x HPE ProLiant DL380a Gen11 server with 4x NVIDIA L40S GPUs
C) 2x HPE ProLiant DL380a Gen11 servers with a total of 8x NVIDIA L40S GPUs
D) 3x HPE ProLiant DL325 Gen11 servers for management

2. A customer wants to build a configuration in One Config Advanced (OCA) for the HPE Private Cloud AI "Large - Standard" solution.
Which key components should the architect expect the Smart Template to include in the Bill of Materials (BOM)? (Choose 2.)

A) HPE Cray compute nodes.
B) 4 worker nodes.
C) HPE ProLiant DL380a Gen11 servers with NVIDIA L40S GPUs.
D) 8 worker nodes.
E) HPE ProLiant DL380a Gen11 servers with NVIDIA H100 NVL GPUs.

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

4. An architect is designing an AI solution to create a medical chatbot that assists doctors by answering questions based on the latest published medical research. The system must be highly reliable, and its answers must be traceable to the source publications. The customer has highlighted that their internal data science team lacks the expertise for complex model retraining but can manage data ingestion pipelines.
Given the customer requirements, which architectural components should the architect include in the solution design? (Select all that apply.)
```
Customer Requirements:
- AI Use Case: Medical Research Q&A Chatbot
- Key Constraint: Information must be current and verifiable.
- Team Skills: Limited AI model training expertise.
- Data Source: Continuously updated database of medical journals.
```

A) A process for daily fine-tuning of the base LLM on all new research papers.
B) A vector database to store embeddings of the medical research papers.
C) An edge-optimized server for model deployment in individual hospital rooms.
D) A Retrieval-Augmented Generation (RAG) framework to query the vector database.
E) A data ingestion and embedding pipeline to process and add new research to the vector database.
F) A pre-trained, general-purpose Large Language Model (LLM).

5. A customer has selected the "HPE Private Cloud AI - Medium - Expanded" configuration.
Which of the following resource counts correctly describes this specific configuration?

A) 4 worker nodes, 16 total H100 NVL GPUs, dual rack
B) 8 worker nodes, 32 total H100 NVL GPUs, dual rack
C) 4 worker nodes, 16 total L40S GPUs, single rack
D) 2 worker nodes, 8 total L40S GPUs, single rack

Solutions: