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HP HPE2-B08 Exam Syllabus Topics:

HPE Private Cloud AI Solutions Sample Questions:

1. 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 NVIDIA L40S GPUs
C) HPE ProLiant DL380a Gen11 server with CPU-only configuration
D) HPE ProLiant DL380a Gen12 server with an NVIDIA NVLink Bridge but no GPUs

2. 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) Confidential Computing
C) NVLink
D) GPUDirect Storage (GDS)
E) RDMA over Converged Ethernet (RoCE)

3. 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 NVIDIA GPUs have been configured with Multi-Instance GPU (MIG), which enhances GDS performance.
C) The application is using a standard TCP/IP socket for data transfer instead of an RDMA-based library.
D) The network switches are not configured for lossless operation (e.g., PFC is disabled).
E) The HPE GreenLake for File Storage array is using SATA SSDs instead of NVMe SSDs.

4. A customer's ML Engineer states, "We need to deploy our trained models, and our top priority is simplifying the process. We want to treat our models like cattle, not pets-packaging them into standardized, optimized containers that we can deploy and scale easily via an API." This statement describes the primary benefit of which software component in the HPE Private Cloud AI stack?

A) NVIDIA NIM (NVIDIA Inference Microservices)
B) JupyterLab
C) HPE Data Fabric
D) Apache Airflow

5. A customer who is an "AI Beginner" wants to start an AI inferencing project at their edge locations.
Their goal is to analyze security camera feeds to help prevent theft. They have a limited budget and IT staff at the edge sites.
Which HPE AI solution is the most appropriate to position for this specific scenario?

A) An HPE AI Services - Transformation Workshop
B) AI-optimized HPE ProLiant DL servers
C) NVIDIA DGX Systems
D) HPE Private Cloud AI with NVIDIA
E) HPE Cray systems

Solutions: