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HPE Private Cloud AI Solutions Sample Questions (Q37-Q42):
NEW QUESTION # 37
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. NVLink
- B. Confidential Computing
- C. RDMA over Converged Ethernet (RoCE)
- D. GPUDirect Storage (GDS)
- E. Multi-Instance GPU (MIG)
Answer: C,D
NEW QUESTION # 38
A large financial institution, a known "Deployer of AI at scale," needs to train a next-generation fraud detection model. This new model has over a trillion parameters, significantly larger than their current models, and requires an exascale-class computing solution to be trained in a reasonable timeframe.
Which HPE AI solution should be positioned to meet this customer's demanding requirement?
- A. AI-optimized HPE ProLiant DL servers
- B. HPE Cray systems
- C. HPE GreenLake for File Storage
- D. HPE Private Cloud AI with NVIDIA, Large configuration
Answer: B
NEW QUESTION # 39
A global logistics company is designing an enterprise-grade AI solution. The project has two main goals:
1. Goal 1: Develop a highly accurate, proprietary logistics optimization model by fine-tuning a foundation model on the company's massive, confidential shipping dataset (20TB). This requires a secure, high- performance, multi-node training environment.
2. Goal 2: Deploy a generative AI-powered chatbot for the customer service department. The chatbot must provide real-time shipment status and answer policy questions based on a knowledge base that is updated hourly.
The company is classified as an 'AI Pro,' with a formal AI strategy and a Center of Excellence, but they want a turnkey solution to accelerate time-to-market.
Which components and strategies should the architect propose to meet all the customer's requirements?
(Select all that apply.)
```
Customer Profile:
- Industry: Global Logistics
- AI Maturity: AI Pro
- Key Workloads: Large-scale Fine-Tuning, Real-time RAG
- Desired Solution: Turnkey, enterprise-grade private cloud
```
- A. Use HPE AI Essentials to manage the training cluster, providing features like experiment tracking and optimized resource scheduling for the fine-tuning job.
- B. Position Al-optimized HPE ProLiant DL servers at the edge for the fine-tuning workload to reduce data transfer costs.
- C. Rely solely on public cloud services for the fine-tuning job to avoid capital expenditure on high- performance GPUs.
- D. Use the HPE Private Cloud AI Large configuration with NVIDIA H100 GPUs to provide the necessary performance for the large-scale fine-tuning task.
- E. Implement a Retrieval-Augmented Generation (RAG) architecture for the customer service chatbot to ensure it uses the latest, hourly-updated information.
- F. Recommend that the customer build their own solution from individual components to have maximum control.
Answer: A,D,E
NEW QUESTION # 40
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 AMD processors, while the Small and Medium configurations use Intel processors.
- B. The Large configuration uses NVIDIA H100 NVL GPUs, while the Small and Medium configurations use NVIDIA L40S GPUs.
- C. The Large configuration is the only one that includes HPE GreenLake for File Storage.
- D. The Large configuration is deployed in a single rack, while the Small and Medium require two racks.
Answer: B
NEW QUESTION # 41
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 cover the pre-integration and configuration of the entire solution at an HPE factory before shipment.
- D. To provide a credit for future software purchases on the HPE GreenLake cloud.
Answer: C
NEW QUESTION # 42
......
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