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HP HPE2-B08 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Architecting HPE Private Cloud AI Solutions | 20% | - Identify components of the HPE Private Cloud AI architecture - Explain the HPE Private Cloud AI sizing and configuration guidelines - Describe the AI/ML lifecycle and data pipeline requirements - Describe how HPE Private Cloud AI supports AI/ML workloads - Explain common AI use cases and how they map to workloads |
| Installing and Configuring HPE Private Cloud AI Solutions | 30% | - Describe how to validate the HPE Private Cloud AI installation - Describe the prerequisites for installing HPE Private Cloud AI - Explain how to deploy and configure HPE Private Cloud AI components - Identify how to access and use HPE Private Cloud AI management interfaces - Identify the steps to configure the HPE Private Cloud AI environment |
| Supporting HPE Private Cloud AI Solutions | 20% | - Describe capacity planning and optimization best practices - Identify how to perform firmware and software updates - Describe support resources and documentation - Explain how to work with HPE support services |
| Managing and Operating HPE Private Cloud AI Solutions | 30% | - Identify troubleshooting procedures and common issues - Explain how to monitor HPE Private Cloud AI performance and health - Describe the tools and methods for managing HPE Private Cloud AI - Explain backup and recovery procedures - Identify how to manage storage and data resources - Describe how to manage users and access control |
HPE Private Cloud AI Solutions Sample Questions:
A customer in the media and entertainment industry wants a solution to accelerate the creation of 3D animations and renderings. Their artists need to be able to generate complex visual AI content quickly.
The company has a mature AI practice and requires a powerful, data center-based solution.
Which HPE ProLiant server and NVIDIA GPU combination is purpose-built for these generative visual AI workloads?
- A. HPE ProLiant DL320 Gen11 server with NVIDIA L4 GPUs
- B. HPE ProLiant DL380a Gen11 server with NVIDIA L40S GPUs
- C. HPE ProLiant DL380a Gen12 server with an NVIDIA NVLink Bridge but no GPUs
- D. HPE ProLiant DL380a Gen11 server with CPU-only configuration
Correct Answer: B 🗳️
A development team reports that their custom-trained Large Language Model (LLM) is "hallucinating"
- generating factually incorrect or nonsensical information, especially when asked questions outside the scope of its training data. The model was created by fine-tuning a foundation model on a large but static internal dataset. The team wants to improve the model's factual accuracy and reliability without embarking on a new, large-scale training project.
Which are the most appropriate strategies to mitigate this issue? (Choose 2.)
- A. Increase the number of hidden layers in the model's architecture.
- B. Apply stricter content moderation and safety guardrails to the model's output.
- C. Implement a Retrieval-Augmented Generation (RAG) framework to provide the model with verifiable, external context at inference time.
- D. Retrain the model from scratch using a much larger and more diverse public dataset.
- E. Reduce the "temperature" setting during inference to make the model's output less random and more focused.
Correct Answer: C,E 🗳️
An architect is working with a customer who has been identified as an 'AI Pro'. They have a mature AI practice and are looking to scale their efforts in creating 'digital twin' simulations for automotive prototypes. This involves complex, graphics-intensive AI workloads. The customer wants a full-stack, turnkey private cloud solution to accelerate this initiative.
What is the most appropriate HPE solution to position for this customer?
- A. An HPE AI Services - Transformation Workshop to redefine their goals.
- B. A set of AI-optimized HPE ProLiant DL servers for edge deployment.
- C. HPE Private Cloud AI with NVIDIA.
- D. A custom solution built on individual HPE ProLiant servers.
Correct Answer: C 🗳️
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)
Correct Answer: D 🗳️
What is the primary advantage of using a Smart Template in OCA for HPE Private Cloud AI versus manually configuring a similar set of hardware?
- A. The Smart Template ensures all necessary and validated components, including specific cables, power cords, and software SKUs, are included correctly.
- B. The Smart Template provides a 90-day free trial of the entire solution.
- C. The Smart Template allows the use of components from other vendors.
- D. The Smart Template guarantees the lowest possible price for the hardware.
Correct Answer: A 🗳️
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