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HP HPE2-B08 Exam Syllabus Topics:

SectionWeightObjectives
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%- Assess AI maturity, workload characteristics and use cases
- Position appropriate HPE AI solutions
Solution Sizing and Configuration17%- Building configurations via One Config Advanced (OCA)
- Using HPE Intelligent Configurator for sizing
- Differences between configuration sizes and options
Infrastructure Components of HPE Private Cloud AI with NVIDIA20%- Benefits of HPE and NVIDIA integrated infrastructure
- Infrastructure capabilities for AI workload requirements
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 (Q28-Q33):

NEW QUESTION # 28
A customer's distributed AI training job is experiencing poor performance. An analysis reveals high network latency. The architect suspects a misconfiguration in the NVIDIA Spectrum switches that form the RoCE-based AI fabric.
They review the following configuration snippet from one of the switch ports connected to a compute node:
```
interface ethernet 1/1
description "Connection to PCAI-Node-1"
speed 200G
mtu 9216
switchport mode trunk
## Priority Flow Control (PFC) is disabled on this port
```
What is the most likely cause of the performance issue?

Answer: D


NEW QUESTION # 29
An 'AI Pro' customer wants to deploy a solution to create 'digital twins' of their manufacturing equipment for predictive maintenance simulations. This workload requires significant GPU power for both the simulation and the underlying AI model.
Which HPE solution should be positioned as the primary platform for this advanced, data-center based workload?

Answer: B


NEW QUESTION # 30
A financial services firm is building a fraud detection application on HPE Private Cloud AI. The application needs to process a continuous stream of transaction data from multiple sources in real time.
The data science team requires a robust platform to build, manage, and execute the complex data pipelines needed to feed the AI model.
Which pre-integrated open-source tool within HPE AI Essentials is the industry standard for orchestrating and managing these complex data workflows and pipelines?

Answer: C


NEW QUESTION # 31
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 # 32
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: B,D


NEW QUESTION # 33
......

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