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HP HPE2-B08 Exam Syllabus Topics:

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

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HPE Private Cloud AI Solutions Sample Questions (Q18-Q23):

NEW QUESTION # 18
An architect has generated a configuration for HPE Private Cloud AI in OCA. The customer wants to know if they can use their existing data center network switches for the high-performance AI interconnect instead of the NVIDIA Spectrum switches included in the BOM.
What is the correct response?

Answer: D


NEW QUESTION # 19
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.)

Answer: C,D


NEW QUESTION # 20
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?

Answer: D


NEW QUESTION # 21
An architect is in a discovery call with a customer who describes their project: "Our primary goal is to take our massive, proprietary dataset of chemical compound interactions and continuously update our foundational AI model's internal parameters to create a new, specialized model for drug discovery. This process runs 24/7 on a large GPU cluster." How should the architect classify this primary AI workload?

Answer: C


NEW QUESTION # 22
An architect is selecting the appropriate HPE Private Cloud AI configuration for a customer. The customer's primary workload is fine-tuning a 70B parameter model, a task that is extremely sensitive to compute latency and requires the highest possible performance for multi-node distributed training.
Which specific infrastructure components included in the "Large" configuration of HPE Private Cloud AI are essential for meeting this high-performance training requirement? (Select all that apply.)

Answer: A,D,E


NEW QUESTION # 23
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