An architect is comparing two different models for a text summarization task.
Model A: A Convolutional Neural Network (CNN)
*Model B: A Transformer-based model
Why is the Transformer-based model (Model B) fundamentally better suited for this task?

• A. Transformers can be trained without GPUs, unlike CNNs.
• B. CNNs can only process images, not text.
• C. CNNs require significantly more training data than Transformers.
• D. Transformers use an attention mechanism to understand the contextual relationships between all words in the text, which is critical for summarization.

A customer is considering the HPE Private Cloud AI solution. They need to run a moderately sized RAG application for 150 users. They do not have any fine-tuning requirements.
Why would an architect recommend a "Medium" configuration over a "Large" configuration for this customer?

• A. The Medium configuration is the only one that includes the HPE AI Essentials software.
• B. The Medium configuration has more storage capacity than the Large configuration.
• C. The Large configuration does not support Retrieval-Augmented Generation (RAG).
• D. The L40S GPUs in the Medium configuration are more cost-effective and power-efficient for this specific inference-heavy workload.

A customer needs a solution for AI inferencing at the edge for a computer vision application. They have determined a Small configuration of HPE Private Cloud AI is sufficient. The solution also requires several value-added services, including an AI transformation workshop and a data design service.
How should an architect attach these services in One Config Advanced (OCA)?

• A. The services must be quoted separately from the hardware and software configuration.
• B. The services can be selected and added to the configuration as optional line items within OCA.
• C. The services are automatically included in the Smart Template and require no action.
• D. The architect must open a support ticket with HPE to have the services added to the quote.

An architect is meeting with a prospective customer to determine the right HPE AI solution. The customer provides the following information about their situation.
```
- 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.
```
Based on this profile, which AI maturity level and corresponding HPE solution should the architect initially position? (Choose 2.)

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