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HP HPE2-B08 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Supporting HPE Private Cloud AI Solutions20%- Explain how to work with HPE support services
- Describe support resources and documentation
- Identify how to perform firmware and software updates
- Describe capacity planning and optimization best practices
Topic 2: Installing and Configuring HPE Private Cloud AI Solutions30%- Describe how to validate the HPE Private Cloud AI installation
- Identify the steps to configure the HPE Private Cloud AI environment
- Identify how to access and use HPE Private Cloud AI management interfaces
- Describe the prerequisites for installing HPE Private Cloud AI
- Explain how to deploy and configure HPE Private Cloud AI components
Topic 3: Architecting HPE Private Cloud AI Solutions20%- 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
- Identify components of the HPE Private Cloud AI architecture
- Explain common AI use cases and how they map to workloads
Topic 4: Managing and Operating HPE Private Cloud AI Solutions30%- Describe how to manage users and access control
- Identify how to manage storage and data resources
- Explain backup and recovery procedures
- Describe the tools and methods for managing HPE Private Cloud AI
- Identify troubleshooting procedures and common issues
- Explain how to monitor HPE Private Cloud AI performance and health

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HPE Private Cloud AI Solutions Sample Questions (Q71-Q76):

NEW QUESTION # 71
A large enterprise is adopting HPE Private Cloud AI and needs to accelerate the development of several generative AI applications. Their data science team wants to leverage pre-trained foundation models from NVIDIA but needs to customize them for specific business tasks like contract summarization and internal policy Q&A.
Which NVIDIA AI Enterprise software framework provides a comprehensive, end-to-end toolkit for curating data, customizing models using techniques like PEFT, and implementing guardrails for safe deployment?
```
Customer Goal:
- Accelerate development of custom generative AI apps
- Utilize pre-trained foundation models
- Require tools for data prep, model customization, and safety
```

Answer: B


NEW QUESTION # 72
What is the primary function of hidden layers in a deep learning model?

Answer: B


NEW QUESTION # 73
An architect is designing a distributed training solution using HPE Private Cloud AI. The solution involves multiple HPE ProLiant DL380a servers, each with four NVIDIA H100 GPUs.
Review the logical network topology:
```
[HPE ProLiant Server 1] \
- GPU 0 <--> GPU 1 (Internal)
- GPU 2 <--> GPU 3 (Internal)
\
[NVIDIA Spectrum Switch (RoCE)] <--> [HPE GreenLake for File Storage]
/
[HPE ProLiant Server 2] /
- GPU 0 <--> GPU 1 (Internal)
- GPU 2 <--> GPU 3 (Internal)
```
Which interconnect technology facilitates the highest-bandwidth communication path labeled "(Internal)" for scaling the training job across the GPUs within a single server?

Answer: C


NEW QUESTION # 74
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?

Answer: D


NEW QUESTION # 75
What is the primary purpose of using RDMA over Converged Ethernet (RoCE) in the AI interconnect fabric of an HPE Private Cloud AI solution?

Answer: A


NEW QUESTION # 76
......

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