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HPE Private Cloud AI Solutions Sample Questions:

1. A customer wants to build a configuration in One Config Advanced (OCA) for the HPE Private Cloud AI "Large - Standard" solution.
Which key components should the architect expect the Smart Template to include in the Bill of Materials (BOM)? (Choose 2.)

A) HPE ProLiant DL380a Gen11 servers with NVIDIA L40S GPUs.
B) HPE Cray compute nodes.
C) 4 worker nodes.
D) HPE ProLiant DL380a Gen11 servers with NVIDIA H100 NVL GPUs.
E) 8 worker nodes.

2. An architect is positioning an HPE Private Cloud AI solution to a customer who is an "AI Pro." The customer's CIO is the key decision maker.
Which benefits of the solution would be most compelling to this stakeholder? (Choose 2.)

A) The ability to use NVIDIA NIMs to drastically simplify and standardize model deployment, reducing operational complexity and cost.
B) The ability to write Python code in a Jupyter Notebook.
C) The specific version of the CUDA driver used by the NVIDIA GPUs.
D) Access to a command-line interface for the network switches.
E) A predictable, cloud-like operational expense model and a clear return on investment (ROI) by accelerating time-to-value for AI projects.

3. 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 the only one that includes HPE GreenLake for File Storage.
C) The Large configuration is deployed in a single rack, while the Small and Medium require two racks.
D) The Large configuration uses AMD processors, while the Small and Medium configurations use Intel processors.

4. 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 Alletra Storage MP with RoCE-capable network adapters
C) HPE ProLiant DL380a Gen11 server with GPUDirect Storage (GDS)
D) HPE ProLiant DL380a Gen12 server with an NVIDIA NVLink Bridge

5. A customer is expanding their HPE Private Cloud AI "Medium" configuration to support a new generative AI inferencing workload. They are concerned about network congestion and latency, as the AI workload is known to generate large, sudden bursts of traffic between the compute nodes and the storage system.
The solution uses NVIDIA Spectrum SN4700M switches for the AI interconnect.
Which feature of these switches is specifically designed to handle bursty traffic and prevent packet loss in a lossless Ethernet fabric?

A) Integrated Silicon Root of Trust to validate the switch firmware integrity.
B) Support for Fibre Channel over Ethernet (FCoE) encapsulation.
C) The ability to route traffic based on application-layer metadata.
D) A fully shared buffer architecture that can dynamically absorb traffic bursts from any port.

Solutions: