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HPE Private Cloud AI Solutions Sample Questions:

1. 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) NVLink for intra-server GPU communication and RoCE for the server-to-server and server-to-storage fabric.
B) GPUDirect Storage (GDS) to enable a direct data path between storage and GPUs for the analytics workload.
C) Multi-Instance GPU (MIG) to partition GPUs for each workload.
D) A flat TCP/IP network for simplicity, relying on the speed of the 200GbE adapters.
E) InfiniBand for the server-to-server fabric and Fibre Channel for the storage fabric.

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

3. An architect has used the HPE Intelligent Configurator and determined that a "Medium - Standard" configuration is required.
When creating the final quote in One Config Advanced (OCA), what is the mandatory prerequisite that the customer is responsible for providing for the solution to be valid?

A) A subscription to the NVIDIA NGC catalog for downloading AI models.
B) A valid, bring-your-own-license (BYOL) for VMware vSphere Foundation (VVF) or VMware Cloud Foundation (VCF).
C) A list of all end-users who will access the system.
D) A rack elevation diagram for the data center.

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

5. 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) Use case, Model choice, Network switch preference
B) RAG requirement, Power and cooling capacity, Desired software license term
C) Use case, Number of users, RAG requirement
D) Number of users, Preferred GPU model, Data center location

Solutions: