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HP HPE2-B08 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Installing and Configuring HPE Private Cloud AI Solutions | 30% | - Explain how to deploy and configure HPE Private Cloud AI components - Describe how to validate the HPE Private Cloud AI installation - Describe the prerequisites for installing HPE Private Cloud AI - Identify how to access and use HPE Private Cloud AI management interfaces - Identify the steps to configure the HPE Private Cloud AI environment |
| Supporting HPE Private Cloud AI Solutions | 20% | - Describe capacity planning and optimization best practices - Explain how to work with HPE support services - Describe support resources and documentation - Identify how to perform firmware and software updates |
| Managing and Operating HPE Private Cloud AI Solutions | 30% | - Identify troubleshooting procedures and common issues - Describe how to manage users and access control - Explain how to monitor HPE Private Cloud AI performance and health - Explain backup and recovery procedures - Describe the tools and methods for managing HPE Private Cloud AI - Identify how to manage storage and data resources |
| 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 - Describe the AI/ML lifecycle and data pipeline requirements - Identify components of the HPE Private Cloud AI architecture - Explain common AI use cases and how they map to workloads |
HPE Private Cloud AI Solutions Sample Questions:
An architect has generated a configuration for HPE Private Cloud AI in OCA. The customer wants to know if they can use their existing data center network switches for the high-performance AI interconnect instead of the NVIDIA Spectrum switches included in the BOM.
What is the correct response?
- A. Yes, any 200GbE switch can be substituted to lower the cost.
- B. Yes, as long as the existing switches are also from NVIDIA, they are compatible.
- C. No, the NVIDIA Spectrum switches are part of the pre-validated, turnkey solution and are required for performance and support.
- D. No, because the HPE Private Cloud AI solution is air-gapped and cannot connect to external switches.
Correct Answer: C 🗳️
A data analytics team is running workloads on an HPE Private Cloud AI solution. They observe that a data ingestion job is not meeting performance expectations, suspecting a CPU bottleneck. They believe the application is not correctly leveraging GPUDirect Storage (GDS), forcing data to be copied through the server's main memory before reaching the GPU.
Which are valid reasons why GDS might not be functioning correctly? (Choose 3.)
- A. The NVIDIA peer memory driver has not been installed on the guest VM.
- B. The application is using a standard TCP/IP socket for data transfer instead of an RDMA-based library.
- C. The network switches are not configured for lossless operation (e.g., PFC is disabled).
- D. The NVIDIA GPUs have been configured with Multi-Instance GPU (MIG), which enhances GDS performance.
- E. The HPE GreenLake for File Storage array is using SATA SSDs instead of NVMe SSDs.
Correct Answer: A,B,C 🗳️
A hospital is developing an AI application to automatically detect specific anomalies in medical images like X-rays and MRIs. The task requires the model to learn and identify complex spatial patterns, such as the shapes and textures of tissues and potential tumors.
Which type of neural network architecture is specifically designed for and best suited to this kind of image analysis task? (Select all that apply.)
- A. A Convolutional Neural Network (CNN)
- B. A model architecture that includes convolutional layers for feature extraction
- C. A transformer-based model designed for Natural Language Processing (NLP)
- D. A basic, fully connected Artificial Neural Network (ANN)
- E. A model architecture that includes pooling layers to reduce spatial dimensions
Correct Answer: A,B,E 🗳️
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 NVIDIA H100 NVL GPUs, while the Small and Medium configurations use NVIDIA L40S GPUs.
- B. The Large configuration is deployed in a single rack, while the Small and Medium require two racks.
- C. The Large configuration uses AMD processors, while the Small and Medium configurations use Intel processors.
- D. The Large configuration is the only one that includes HPE GreenLake for File Storage.
Correct Answer: A 🗳️
A customer is considering the HPE Private Cloud AI solution. They need to run a moderately sized RAG application for 150 users. They do not have any fine-tuning requirements.
Why would an architect recommend a "Medium" configuration over a "Large" configuration for this customer?
- A. The Large configuration does not support Retrieval-Augmented Generation (RAG).
- B. The Medium configuration is the only one that includes the HPE AI Essentials software.
- C. The Medium configuration has more storage capacity than the Large configuration.
- D. The L40S GPUs in the Medium configuration are more cost-effective and power-efficient for this specific inference-heavy workload.
Correct Answer: D 🗳️
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