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HPE Private Cloud AI Solutions Sample Questions:

1. An architect is explaining the HPE Private Cloud AI configurations to a customer.
What is the key differentiator between the "Large" configuration and the "Small" and "Medium" configurations in terms of hardware?

A) The Large configuration uses AMD processors, while the Small and Medium configurations use Intel processors.
B) The Large configuration uses NVIDIA H100 NVL GPUs, while the Small and Medium configurations use NVIDIA L40S GPUs.
C) The Large configuration is the only one that includes HPE GreenLake for File Storage.
D) The Large configuration is deployed in a single rack, while the Small and Medium require two racks.

2. A customer is planning to deploy an HPE Private Cloud AI solution. Their IT department has provided a worksheet detailing the workload requirements. The solution architect needs to select the appropriate configuration size.
Review the customer's requirements:
```
- Primary Workload: Fine-tuning a 70-billion parameter foundation model
- Secondary Workload: AI Inferencing with RAG
- User Base: 50 developers during tuning; 300 concurrent users for inference
- Data Sensitivity: High (must remain on-premises)
- Power/Cooling: Standard data center air cooling available
```
Which HPE Private Cloud AI configuration is required to meet these demands, and what is the key component that justifies this choice? (Choose 2.)

A) The key component is the NVIDIA H100 NVL GPU, designed for large-scale training and fine-tuning.
B) The key component is the NVIDIA L40S GPU, which is optimized for RAG workloads.
C) The solution requires a Large configuration.
D) The solution requires a Medium configuration.
E) The key component is the HPE ProLiant DL325 server in the management plane.

3. A customer who is an "AI Beginner" wants to start an AI inferencing project at their edge locations.
Their goal is to analyze security camera feeds to help prevent theft. They have a limited budget and IT staff at the edge sites.
Which HPE AI solution is the most appropriate to position for this specific scenario?

A) An HPE AI Services - Transformation Workshop
B) HPE Private Cloud AI with NVIDIA
C) AI-optimized HPE ProLiant DL servers
D) NVIDIA DGX Systems
E) HPE Cray systems

4. A customer is considering the HPE Private Cloud AI solution. They need to run a moderately sized RAG application for 150 users. They do not have any fine-tuning requirements.
Why would an architect recommend a "Medium" configuration over a "Large" configuration for this customer?

A) The Medium configuration has more storage capacity than the Large configuration.
B) The Medium configuration is the only one that includes the HPE AI Essentials software.
C) The L40S GPUs in the Medium configuration are more cost-effective and power-efficient for this specific inference-heavy workload.
D) The Large configuration does not support Retrieval-Augmented Generation (RAG).

5. A company is implementing a RAG-based chatbot using HPE Private Cloud AI. To ensure the chatbot provides safe and appropriate responses, the development team needs to implement guardrails to prevent it from discussing off-topic subjects and to block it from using harmful language.
Which specific toolkit within the NVIDIA NeMo framework is designed for this purpose?
```
NVIDIA NeMo Framework Components:
1. NeMo Curator
2. NeMo Customizer
3. NeMo Evaluator
4. NeMo Retriever
5. NeMo Guardrails
```

A) NeMo Guardrails
B) NeMo Customizer
C) NeMo Evaluator
D) NeMo Retriever
E) NeMo Curator

Solutions: