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HP HPE2-B08 Exam Syllabus Topics:

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

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

NEW QUESTION # 67
An architect has used the HPE Intelligent Configurator and determined that a "Medium - Standard" configuration is required.
When creating the final quote in One Config Advanced (OCA), what is the mandatory prerequisite that the customer is responsible for providing for the solution to be valid?

Answer: B


NEW QUESTION # 68
An architect is designing a distributed training solution using HPE Private Cloud AI. The solution involves multiple HPE ProLiant DL380a servers, each with four NVIDIA H100 GPUs.
Review the logical network topology:
```
[HPE ProLiant Server 1] \
- GPU 0 <--> GPU 1 (Internal)
- GPU 2 <--> GPU 3 (Internal)
\
[NVIDIA Spectrum Switch (RoCE)] <--> [HPE GreenLake for File Storage]
/
[HPE ProLiant Server 2] /
- GPU 0 <--> GPU 1 (Internal)
- GPU 2 <--> GPU 3 (Internal)
```
Which interconnect technology facilitates the highest-bandwidth communication path labeled "(Internal)" for scaling the training job across the GPUs within a single server?

Answer: D


NEW QUESTION # 69
An AI development team is training a large language model that exceeds the memory capacity of a single GPU. To continue training, they need to distribute the workload across multiple GPUs within the same server.
Which combination of HPE server and NVIDIA technology is specifically designed to provide a high- bandwidth, direct communication path between GPUs, bypassing the PCIe bus for improved performance in multi-GPU training?

Answer: B


NEW QUESTION # 70
A customer's ML Engineer states, "We need to deploy our trained models, and our top priority is simplifying the process. We want to treat our models like cattle, not pets-packaging them into standardized, optimized containers that we can deploy and scale easily via an API." This statement describes the primary benefit of which software component in the HPE Private Cloud AI stack?

Answer: C


NEW QUESTION # 71
After using the HPE Intelligent Configurator, an architect reviews the output for a proposed HPE Private Cloud AI solution.
In addition to the BOM, what other critical information does the tool provide that is essential for site readiness planning? (Select all that apply.)

Answer: A,C,D


NEW QUESTION # 72
......

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