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HPE Private Cloud AI Solutions Sample Questions:
1. A data science team has trained a deep learning model for image classification. While the model achieves 99.8% accuracy on the training dataset, its accuracy drops to only 75% on a new, unseen validation dataset.
The team provides the following training metrics:
```
- Training Epochs: 500
- Training Dataset Size: 1,000 images
- Model Parameters: 15 million
- Training Accuracy: 99.8%
- Validation Accuracy: 75.3%
```
What is the most likely cause of this performance discrepancy?
A) The model has too few parameters to learn the features effectively.
B) The model is overfitting to the training data and cannot generalize to new data.
C) The learning rate used for training was set too low.
D) The model is underfitting due to an insufficient number of training epochs.
2. 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 partition a single physical network adapter into multiple virtual adapters for different tenants.
B) To guarantee packet delivery over lossy internet connections using the TCP protocol.
C) To encrypt data in transit between compute nodes and storage.
D) To allow direct memory-to-memory data transfers between nodes, bypassing the CPU kernel and reducing latency.
3. A sales professional is preparing a quote for an HPE Private Cloud AI solution in OCA and needs to ensure the correct support services are attached.
What is the default level of support included with all components when using the "Flexible services" option in the Smart Template?
A) HPE Tech Care, Essential
B) HPE Complete Care Service
C) HPE Tech Care, Critical
D) HPE Tech Care, Basic
4. An architect is building a final configuration for an HPE Private Cloud AI solution using One Config Advanced (OCA). After selecting the "HPE Private Cloud AI - Medium Expanded" Smart Template, they review the generated Bill of Materials (BOM).
Which components are characteristic of the Medium Expanded configuration that the architect should expect to see in the OCA-generated BOM? (Select all that apply.)
A) 16x NVIDIA L40S GPUs
B) 2x HPE Aruba Networking CX 6300M Switches
C) 2x NVIDIA SN4700M Switches
D) 1x HPE ProLiant DL380a Gen11 Server
E) 4x HPE ProLiant DL380a Gen11 Servers
F) 16x NVIDIA H100 NVL GPUs
5. An architect is presenting to a customer who is an 'Early AI User'. The customer is unsure about the differences between their two main project ideas.
Project 1: Create an internal chatbot that can answer HR policy questions by accessing the live employee handbook stored on a shared drive.
Project 2: Teach a general-purpose chatbot to adopt the company's formal communication style and tone for drafting official press releases.
How should the architect categorize the primary AI task for each project? (Choose 2.)
A) Project 1 is a model training workload.
B) Project 2 is a classic inferencing workload with no model customization.
C) Project 2 is a fine-tuning workload.
D) Project 1 is a RAG (Retrieval-Augmented Generation) workload.
Solutions:
| Question # 1 Answer: B | Question # 2 Answer: D | Question # 3 Answer: A | Question # 4 Answer: A,B,C,E | Question # 5 Answer: C,D |






