Free HP HPE2-B08 Exam Dumps Questions & Answers

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

A customer wants to deploy a turnkey private cloud for a variety of generative AI workloads, including RAG-based chatbots and some model fine-tuning. One of their key IT stakeholders is the data engineer.
Which specific challenge for a data engineer is directly addressed by the HPE Data Fabric component within HPE Private Cloud AI?

• A.  The complexity of writing Python code in a Jupyter Notebook.
• B.  The difficulty of managing GPU cluster utilization for training jobs.
• C.  The effort required to create and manage data pipelines and unify diverse, siloed data sources (files, objects, tables) into a single accessible platform.
• D.  The high cost of NVIDIA AI Enterprise software licenses.

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

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 Curator
• B.  NeMo Guardrails
• C.  NeMo Evaluator
• D.  NeMo Customizer
• E.  NeMo Retriever

An organization is deploying a multi-tenant AI environment using HPE Private Cloud AI. They need to run several smaller, independent AI inference workloads on a single, powerful NVIDIA H100 GPU to maximize resource utilization. Each workload must be securely isolated with its own dedicated portion of the GPU's compute and memory resources.
What key NVIDIA technology, supported on the Hopper architecture, allows for this secure partitioning of a single physical GPU? (Select all that apply.)

• A.  Remote Direct Memory Access (RDMA)
• B.  NVLink Bridge
• C.  Multi-Instance GPU (MIG)
• D.  GPUDirect Storage (GDS)
• E.  Confidential Computing