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HP HPE2-B08 Exam Syllabus Topics:

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

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HPE Private Cloud AI Solutions Sample Questions (Q78-Q83):

NEW QUESTION # 78
An architect is using the HPE One Config Advanced (OCA) Smart Template for "HPE Private Cloud AI
- Small - Standard".
What is the worker node configuration they should expect to see in the generated Bill of Materials (BOM)?

Answer: B


NEW QUESTION # 79
An architect is designing an AI solution to create a medical chatbot that assists doctors by answering questions based on the latest published medical research. The system must be highly reliable, and its answers must be traceable to the source publications. The customer has highlighted that their internal data science team lacks the expertise for complex model retraining but can manage data ingestion pipelines.
Given the customer requirements, which architectural components should the architect include in the solution design? (Select all that apply.)
```
Customer Requirements:
- AI Use Case: Medical Research Q&A Chatbot
- Key Constraint: Information must be current and verifiable.
- Team Skills: Limited AI model training expertise.
- Data Source: Continuously updated database of medical journals.
```

Answer: A,B,C,D


NEW QUESTION # 80
A customer at the 'Early AI User' maturity stage wants to begin using generative AI. Their primary concern is the complexity of deploying and managing the AI software stack. They are looking for a solution that accelerates their journey by providing a pre-integrated, enterprise-supported software platform for both development and deployment.
How do the software components of HPE Private Cloud AI address this customer's main challenge?
(Select all that apply.)
```
Customer Profile:
- Maturity: Early AI User
- Main Challenge: Complexity of AI software stack
- Goal: Accelerate adoption of generative AI
```

Answer: A,B,D


NEW QUESTION # 81
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: B


NEW QUESTION # 82
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 # 83
......

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