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HP HPE2-B08 Exam Syllabus Topics:

SectionWeightObjectives
Installing and Configuring HPE Private Cloud AI Solutions30%- Identify how to access and use HPE Private Cloud AI management interfaces
- Describe the prerequisites for installing HPE Private Cloud AI
- Describe how to validate the HPE Private Cloud AI installation
- Identify the steps to configure the HPE Private Cloud AI environment
- Explain how to deploy and configure HPE Private Cloud AI components
Supporting HPE Private Cloud AI Solutions20%- 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
Architecting HPE Private Cloud AI Solutions20%- 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
- Describe how HPE Private Cloud AI supports AI/ML workloads
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
- Explain backup and recovery procedures
- Explain how to monitor HPE Private Cloud AI performance and health
- Identify how to manage storage and data resources
- Identify troubleshooting procedures and common issues

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HPE Private Cloud AI Solutions Sample Questions (Q67-Q72):

NEW QUESTION # 67
You are in a meeting with the VP of Manufacturing for a large industrial company. She describes their AI program as follows:
"We have a formal Center of Excellence for AI that reports directly to the CTO. Our strategy is to scale our successful predictive maintenance models across all 25 of our global plants. We have standardized on a consistent cloud and data governance strategy for all AI projects and have clear ROI targets for reducing downtime." Based on this description, which AI maturity level best describes this customer?

Answer: D


NEW QUESTION # 68
An architect is designing an infrastructure solution for an AI workload that involves processing massive datasets for training. The goal is to minimize data transfer latency between the storage system and the GPUs in the compute nodes. The architect wants to enable the NVIDIA GPUs to fetch data directly from the NVMe storage array, bypassing the server's CPU and main memory.
Review the proposed architectural components:
```
- Compute Nodes: HPE ProLiant DL380a Gen11 with NVIDIA H100 GPUs
- Storage: HPE GreenLake for File Storage
- Interconnect: Ethernet with RoCE support
```
Which technology must be enabled and properly configured across these components to achieve this direct GPU-to-storage data path? (Choose 2.)

Answer: C,D


NEW QUESTION # 69
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: B


NEW QUESTION # 70
An architect is designing an AI solution for a financial services company that needs to build a chatbot.
The chatbot must answer customer queries using the company's latest internal policy documents, which are updated daily. The company has a limited budget and no data scientists available for a lengthy model retraining project.
Which approach should the architect recommend?

Answer: B


NEW QUESTION # 71
A customer in the public sector wants to use AI to analyze live video feeds from city-wide cameras to automate public safety tasks like detecting traffic accidents or identifying security threats in real-time.
This is their first major AI initiative.
Which AI use case does this scenario represent?

Answer: D


NEW QUESTION # 72
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