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HP HPE2-B08 Exam Syllabus Topics:

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

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HPE Private Cloud AI Solutions Sample Questions (Q25-Q30):

NEW QUESTION # 25
An architect is explaining the HPE Private Cloud AI configurations to a customer.
What is the key differentiator between the "Large" configuration and the "Small" and "Medium" configurations in terms of hardware?

Answer: C


NEW QUESTION # 26
A customer needs a solution for their deployed customer service chatbot. They state: "We don't need to change the model itself, but we need the chatbot to answer questions using our product documentation, which is updated every night. The answers must be fast and based on the latest documents." How would you categorize this workload?

Answer: B


NEW QUESTION # 27
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,D


NEW QUESTION # 28
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 # 29
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,C,D


NEW QUESTION # 30
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