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

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

3. What is the primary function of hidden layers in a deep learning model?

A) To apply weights and transformations to the outputs of preceding layers, allowing the network to learn progressively more complex features.
B) To directly receive the initial, raw input data for the model.
C) To format the final output of the network into a human-readable prediction or classification.
D) To store the complete training dataset for real-time retrieval during inference.

4. 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 is deployed in a single rack, while the Small and Medium require two racks.
B) The Large configuration uses AMD processors, while the Small and Medium configurations use Intel processors.
C) The Large configuration uses NVIDIA H100 NVL GPUs, while the Small and Medium configurations use NVIDIA L40S GPUs.
D) The Large configuration is the only one that includes HPE GreenLake for File Storage.

5. An architect is meeting with a prospective customer to determine the right HPE AI solution. The customer provides the following information about their situation.
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- AI Status: No formal AI strategy. One successful PoC for theft prevention using computer vision is running at a single store.
- Goal: Wants to explore creating a "digital twin" of their supply chain for simulation, but has no clear KPIs.
- Team: Two data scientists, one ML engineer.
- Infrastructure: Ad-hoc use of public cloud for the PoC; no standardized tech stack.
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Based on this profile, which AI maturity level and corresponding HPE solution should the architect initially position? (Choose 2.)

A) The customer is an 'Early AI user'.
B) The customer is an 'AI Pro'.
C) The customer is a 'Deployer of AI at scale'.
D) Lead with HPE Cray systems for the digital twin simulation.
E) Lead with HPE Private Cloud AI with NVIDIA.

Solutions: