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HP HPE2-B08 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Managing and Operating HPE Private Cloud AI Solutions | 30% | - Describe the tools and methods for managing HPE Private Cloud AI - Describe how to manage users and access control - Explain how to monitor HPE Private Cloud AI performance and health - Identify how to manage storage and data resources - Explain backup and recovery procedures - Identify troubleshooting procedures and common issues |
| Installing and Configuring HPE Private Cloud AI Solutions | 30% | - Describe the prerequisites for installing HPE Private Cloud AI - Identify how to access and use HPE Private Cloud AI management interfaces - Describe how to validate the HPE Private Cloud AI installation - Identify the steps to configure the HPE Private Cloud AI environment - Explain how to deploy and configure HPE Private Cloud AI components |
| Supporting HPE Private Cloud AI Solutions | 20% | - Identify how to perform firmware and software updates - Describe support resources and documentation - Describe capacity planning and optimization best practices - Explain how to work with HPE support services |
| Architecting HPE Private Cloud AI Solutions | 20% | - Identify components of the HPE Private Cloud AI architecture - Describe the AI/ML lifecycle and data pipeline requirements - Describe how HPE Private Cloud AI supports AI/ML workloads - Explain common AI use cases and how they map to workloads - Explain the HPE Private Cloud AI sizing and configuration guidelines |
HPE Private Cloud AI Solutions Sample Questions:
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?
- A. RAG requirement, Power and cooling capacity, Desired software license term
- B. Use case, Model choice, Network switch preference
- C. Number of users, Preferred GPU model, Data center location
- D. Use case, Number of users, RAG requirement
Correct Answer: D 🗳️
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.)
- A. Multi-Instance GPU (MIG) to partition GPUs for each workload.
- B. NVLink for intra-server GPU communication and RoCE for the server-to-server and server-to-storage fabric.
- C. InfiniBand for the server-to-server fabric and Fibre Channel for the storage fabric.
- D. GPUDirect Storage (GDS) to enable a direct data path between storage and GPUs for the analytics workload.
- E. A flat TCP/IP network for simplicity, relying on the speed of the 200GbE adapters.
Correct Answer: B,D 🗳️
A customer in the public sector wants to use AI to analyze live video feeds from city-wide cameras to automate public safety tasks like detecting traffic accidents or identifying security threats in real-time.
This is their first major AI initiative.
Which AI use case does this scenario represent?
- A. Recommender Systems
- B. Drug Discovery
- C. Computer Vision / Intelligent Video Analytics
- D. Natural Language Processing (NLP)
Correct Answer: C 🗳️
A customer in the media and entertainment industry wants a solution to accelerate the creation of 3D animations and renderings. Their artists need to be able to generate complex visual AI content quickly.
The company has a mature AI practice and requires a powerful, data center-based solution.
Which HPE ProLiant server and NVIDIA GPU combination is purpose-built for these generative visual AI workloads?
- A. HPE ProLiant DL320 Gen11 server with NVIDIA L4 GPUs
- B. HPE ProLiant DL380a Gen11 server with CPU-only configuration
- C. HPE ProLiant DL380a Gen11 server with NVIDIA L40S GPUs
- D. HPE ProLiant DL380a Gen12 server with an NVIDIA NVLink Bridge but no GPUs
Correct Answer: C 🗳️
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?
- A. The Large configuration uses AMD processors, while the Small and Medium configurations use Intel processors.
- B. The Large configuration uses NVIDIA H100 NVL GPUs, while the Small and Medium configurations use NVIDIA L40S GPUs.
- C. The Large configuration is the only one that includes HPE GreenLake for File Storage.
- D. The Large configuration is deployed in a single rack, while the Small and Medium require two racks.
Correct Answer: B 🗳️
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