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HPE Private Cloud AI Solutions Sample Questions:

1. What is the primary purpose of using RDMA over Converged Ethernet (RoCE) in the AI interconnect fabric of an HPE Private Cloud AI solution?

A) To encrypt data in transit between compute nodes and storage.
B) To guarantee packet delivery over lossy internet connections using the TCP protocol.
C) To partition a single physical network adapter into multiple virtual adapters for different tenants.
D) To allow direct memory-to-memory data transfers between nodes, bypassing the CPU kernel and reducing latency.

2. A customer needs a solution for their deployed customer service chatbot. They state: "We don't need to change the model itself, but we need the chatbot to answer questions using our product documentation, which is updated every night. The answers must be fast and based on the latest documents." How would you categorize this workload?

A) A classic AI inferencing workload.
B) A large-scale model training workload.
C) A RAG (Retrieval-Augmented Generation) inferencing workload.
D) A model development and experimentation workload.

3. An architect is assessing a customer's workloads to position the correct HPE Private Cloud AI configuration. The customer has a single, massive task: training a foundational vision model from scratch using a petabyte-scale image dataset. The project is expected to take months and requires the absolute maximum compute performance available.
Which AI workload type does this represent, and which HPE solution is most appropriate?

A) Workload: Edge Computing; Solution: HPE ProLiant DL320 server
B) Workload: AI Model Training; Solution: HPE Cray Systems
C) Workload: AI Inferencing; Solution: AI-optimized HPE ProLiant DL servers
D) Workload: RAG; Solution: HPE Private Cloud AI - Medium configuration

4. After an architect selects the "HPE Private Cloud AI - Large - Expanded" Smart Template in OCA, they see it includes a significant number of "HPE Factory Express Complex Unit of SVC" services.
What is the purpose of these bundled services?

A) To provide on-site training for the customer's data science team.
B) To allow the customer to exchange the hardware for the next generation at no cost.
C) To provide a credit for future software purchases on the HPE GreenLake cloud.
D) To cover the pre-integration and configuration of the entire solution at an HPE factory before shipment.

5. 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 DL380a Gen11 server with GPUDirect Storage (GDS)
B) HPE Alletra Storage MP with RoCE-capable network adapters
C) HPE ProLiant DL380a Gen12 server with an NVIDIA NVLink Bridge
D) HPE ProLiant DL325 Gen11 server with NVIDIA L4 GPUs

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