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HP HPE2-B08 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Supporting HPE Private Cloud AI Solutions | 20% | - Identify how to perform firmware and software updates - Describe capacity planning and optimization best practices - Explain how to work with HPE support services - Describe support resources and documentation |
| Installing and Configuring HPE Private Cloud AI Solutions | 30% | - Describe how to validate the HPE Private Cloud AI installation - Identify how to access and use HPE Private Cloud AI management interfaces - Explain how to deploy and configure HPE Private Cloud AI components - Identify the steps to configure the HPE Private Cloud AI environment - Describe the prerequisites for installing HPE Private Cloud AI |
| Architecting HPE Private Cloud AI Solutions | 20% | - Explain the HPE Private Cloud AI sizing and configuration guidelines - Describe how HPE Private Cloud AI supports AI/ML workloads - Identify components of the HPE Private Cloud AI architecture - Describe the AI/ML lifecycle and data pipeline requirements - Explain common AI use cases and how they map to workloads |
| Managing and Operating HPE Private Cloud AI Solutions | 30% | - Explain how to monitor HPE Private Cloud AI performance and health - Explain backup and recovery procedures - Identify troubleshooting procedures and common issues - Identify how to manage storage and data resources - Describe how to manage users and access control - Describe the tools and methods for managing HPE Private Cloud AI |
HPE Private Cloud AI Solutions Sample Questions:
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 speed is not sufficient for the connected H100 GPU.
- C. The port is incorrectly configured in trunk mode instead of access mode.
- D. The MTU size is too small for AI workloads.
Correct Answer: A 🗳️
The three pre-defined sizes (Small, Medium, Large) of HPE Private Cloud AI are designed to address different primary workloads. Match the configuration size to its intended primary workload.
*Configuration Size:
1. Small
2. Medium
3. Large
*Primary Workload:
a. AI Inferencing with RAG and large-scale Fine-Tuning
b. AI Inferencing
c. AI Inferencing with RAG
- A. 1-b, 2-a, 3-c
- B. 1-a, 2-b, 3-c
- C. 1-b, 2-c, 3-a
- D. 1-c, 2-a, 3-b
Correct Answer: C 🗳️
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.)
- A. Multi-Instance GPU (MIG)
- B. GPUDirect Storage (GDS)
- C. RDMA over Converged Ethernet (RoCE)
- D. NVLink
- E. Confidential Computing
Correct Answer: B,C 🗳️
An AI application is being developed to analyze financial time-series data to predict stock market trends. The model needs to understand long-term dependencies and the sequence in which data points occur.
Which neural network architecture is specifically designed to handle sequential data like text or time- series?
- A. Transformer model
- B. Convolutional Neural Network (CNN)
- C. A fully connected, feedforward neural network
- D. K-Means Clustering Algorithm
Correct Answer: A 🗳️
A customer wants to deploy a turnkey private cloud for a variety of generative AI workloads, including RAG-based chatbots and some model fine-tuning. One of their key IT stakeholders is the data engineer.
Which specific challenge for a data engineer is directly addressed by the HPE Data Fabric component within HPE Private Cloud AI?
- A. The high cost of NVIDIA AI Enterprise software licenses.
- B. The effort required to create and manage data pipelines and unify diverse, siloed data sources (files, objects, tables) into a single accessible platform.
- C. The difficulty of managing GPU cluster utilization for training jobs.
- D. The complexity of writing Python code in a Jupyter Notebook.
Correct Answer: B 🗳️
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