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HP HPE2-B08 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Software Components of HPE Private Cloud AI with NVIDIA | 20% | - Benefits of HPE and NVIDIA software stack - Software functions supporting AI operations |
| Infrastructure Components of HPE Private Cloud AI with NVIDIA | 20% | - Benefits of HPE and NVIDIA integrated infrastructure - Infrastructure capabilities for AI workload requirements |
| Solution Sizing and Configuration | 17% | - Using HPE Intelligent Configurator for sizing - Differences between configuration sizes and options - Building configurations via One Config Advanced (OCA) |
| Customer Assessment and Solution Positioning | 15% | - Assess AI maturity, workload characteristics and use cases - Position appropriate HPE AI solutions |
| Fundamental AI Concepts | 28% | - Impact of AI on industries and infrastructure requirements - General AI concepts, applications and workloads |
HPE Private Cloud AI Solutions Sample Questions:
After an architect selects the "HPE Private Cloud AI - Large - Expanded" Smart Template in OCA, they see it includes a significant number of "HPE Factory Express Complex Unit of SVC" services.
What is the purpose of these bundled services?
- A. To provide a credit for future software purchases on the HPE GreenLake cloud.
- B. To cover the pre-integration and configuration of the entire solution at an HPE factory before shipment.
- C. To provide on-site training for the customer's data science team.
- D. To allow the customer to exchange the hardware for the next generation at no cost.
Correct Answer: B 🗳️
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?
- A. Edge Computing
- B. AI Model Training / Fine-tuning
- C. Retrieval-Augmented Generation (RAG)
- D. AI Inferencing
Correct Answer: B 🗳️
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?
- A. HPE ProLiant DL325 Gen11 server with NVIDIA L4 GPUs
- B. HPE ProLiant DL380a Gen12 server with an NVIDIA NVLink Bridge
- C. HPE Alletra Storage MP with RoCE-capable network adapters
- D. HPE ProLiant DL380a Gen11 server with GPUDirect Storage (GDS)
Correct Answer: B 🗳️
You are in a meeting with the VP of Manufacturing for a large industrial company. She describes their AI program as follows:
"We have a formal Center of Excellence for AI that reports directly to the CTO. Our strategy is to scale our successful predictive maintenance models across all 25 of our global plants. We have standardized on a consistent cloud and data governance strategy for all AI projects and have clear ROI targets for reducing downtime." Based on this description, which AI maturity level best describes this customer?
- A. AI Curious
- B. AI Pro
- C. Early AI user
- D. AI Beginner
Correct Answer: B 🗳️
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?
- A. Priority Flow Control (PFC) is disabled, which is mandatory for a lossless RoCE fabric.
- B. The port is incorrectly configured in trunk mode instead of access mode.
- C. The port speed is not sufficient for the connected H100 GPU.
- D. The MTU size is too small for AI workloads.
Correct Answer: A 🗳️
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