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HPE Private Cloud AI Solutions Sample Questions:

1. A customer states they need an AI solution for a "summarization" use case that will be accessed by approximately 75 concurrent users. The underlying data is updated frequently, so RAG will be required.
When using the HPE Intelligent Configurator, which three inputs are mandatory to get an initial sizing recommendation?

A) Use case, Number of users, RAG requirement
B) Number of users, Preferred GPU model, Data center location
C) Use case, Model choice, Network switch preference
D) RAG requirement, Power and cooling capacity, Desired software license term

2. A customer explains that their data engineers are spending too much time managing disparate data pipelines with a complex set of open-source tools. They are an 'Early AI User' trying to standardize their approach.
Which value proposition of HPE Private Cloud AI directly addresses this specific stakeholder's pain point?

A) It can be deployed in a colocation facility through HPE GreenLake.
B) It offers a choice of NVIDIA GPUs to accelerate model training.
C) It includes HPE AI Essentials, which provides a unified platform with pre-integrated data pipeline and workflow tools like Apache Airflow and Spark.
D) Its management plane uses three redundant HPE ProLiant DL325 servers for high availability.

3. An architect is presenting to a customer who is an 'Early AI User'. The customer is unsure about the differences between their two main project ideas.
Project 1: Create an internal chatbot that can answer HR policy questions by accessing the live employee handbook stored on a shared drive.
Project 2: Teach a general-purpose chatbot to adopt the company's formal communication style and tone for drafting official press releases.
How should the architect categorize the primary AI task for each project? (Choose 2.)

A) Project 1 is a model training workload.
B) Project 2 is a fine-tuning workload.
C) Project 1 is a RAG (Retrieval-Augmented Generation) workload.
D) Project 2 is a classic inferencing workload with no model customization.

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

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

Solutions: