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HP HPE2-B08 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Solution Sizing and Configuration17%- Differences between configuration sizes and options
- Building configurations via One Config Advanced (OCA)
- Using HPE Intelligent Configurator for sizing
Topic 2: Customer Assessment and Solution Positioning15%- Assess AI maturity, workload characteristics and use cases
- Position appropriate HPE AI solutions
Topic 3: Software Components of HPE Private Cloud AI with NVIDIA20%- Software functions supporting AI operations
- Benefits of HPE and NVIDIA software stack
Topic 4: Fundamental AI Concepts28%- Impact of AI on industries and infrastructure requirements
- General AI concepts, applications and workloads
Topic 5: Infrastructure Components of HPE Private Cloud AI with NVIDIA20%- Benefits of HPE and NVIDIA integrated infrastructure
- Infrastructure capabilities for AI workload requirements

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HPE Private Cloud AI Solutions Sample Questions (Q30-Q35):

NEW QUESTION # 30
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,C,E,F


NEW QUESTION # 31
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?

Answer: B


NEW QUESTION # 32
During a discovery call, a customer from a telecommunications company explains their primary goal:
"We need to analyze network traffic patterns in real-time to detect anomalies that could indicate a security threat or a network outage." Which key use case for HPE Private Cloud AI does this represent?

Answer: D


NEW QUESTION # 33
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: B


NEW QUESTION # 34
A global logistics company is designing an enterprise-grade AI solution. The project has two main goals:
1. Goal 1: Develop a highly accurate, proprietary logistics optimization model by fine-tuning a foundation model on the company's massive, confidential shipping dataset (20TB). This requires a secure, high- performance, multi-node training environment.
2. Goal 2: Deploy a generative AI-powered chatbot for the customer service department. The chatbot must provide real-time shipment status and answer policy questions based on a knowledge base that is updated hourly.
The company is classified as an 'AI Pro,' with a formal AI strategy and a Center of Excellence, but they want a turnkey solution to accelerate time-to-market.
Which components and strategies should the architect propose to meet all the customer's requirements?
(Select all that apply.)
```
Customer Profile:
- Industry: Global Logistics
- AI Maturity: AI Pro
- Key Workloads: Large-scale Fine-Tuning, Real-time RAG
- Desired Solution: Turnkey, enterprise-grade private cloud
```

Answer: A,C,E


NEW QUESTION # 35
......

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