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HP HPE2-B08 Exam Syllabus Topics:

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

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HPE Private Cloud AI Solutions Sample Questions (Q69-Q74):

NEW QUESTION # 69
An architect is designing a high-performance computing environment for a customer with two distinct, demanding workloads:
1. A large-scale, multi-node deep learning model that requires the fastest possible server-to-server communication.
2. A data-intensive analytics workload that requires the fastest possible data ingestion from an HPE GreenLake for File Storage array.
Which combination of technologies from the HPE Private Cloud AI solution should the architect select to optimize both workloads? (Select all that apply.)

Answer: B,C


NEW QUESTION # 70
An architect is comparing two different models for a text summarization task.
Model A: A Convolutional Neural Network (CNN)
*Model B: A Transformer-based model
Why is the Transformer-based model (Model B) fundamentally better suited for this task?

Answer: A


NEW QUESTION # 71
An architect is assessing a customer's workloads to position the correct HPE Private Cloud AI configuration. The customer has a single, massive task: training a foundational vision model from scratch using a petabyte-scale image dataset. The project is expected to take months and requires the absolute maximum compute performance available.
Which AI workload type does this represent, and which HPE solution is most appropriate?

Answer: A


NEW QUESTION # 72
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: C


NEW QUESTION # 73
An architect is building a final configuration for an HPE Private Cloud AI solution using One Config Advanced (OCA). After selecting the "HPE Private Cloud AI - Medium Expanded" Smart Template, they review the generated Bill of Materials (BOM).
Which components are characteristic of the Medium Expanded configuration that the architect should expect to see in the OCA-generated BOM? (Select all that apply.)

Answer: A,B,D,E


NEW QUESTION # 74
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