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HPE Private Cloud AI Solutions Sample Questions:

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

2. 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 2 is a classic inferencing workload with no model customization.
B) Project 2 is a fine-tuning workload.
C) Project 1 is a RAG (Retrieval-Augmented Generation) workload.
D) Project 1 is a model training workload.

3. An organization is using HPE Private Cloud AI to manage a large, multi-tenant Kubernetes environment for its data science teams. They need to ensure that data access is securely managed and that each team's data is isolated within a logical, policy-driven boundary. Additionally, they need to store and access data from multiple sources, including NFS clients and S3-compatible object stores.
Which software components of the HPE Private Cloud AI stack work together to provide this unified, policy-driven, multi-protocol data access? (Select all that apply.)

A) HPE Data Fabric
B) NVIDIA NIM (NVIDIA Inference Microservices)
C) HPE GreenLake for File Storage
D) Kyverno
E) HPE AI Essentials

4. You are positioning HPE Private Cloud AI to a customer who is an "AI Pro" and wants to scale their generative AI efforts.
Which key capabilities of the solution would you emphasize to this customer? (Select all that apply.)

A) Its ability to run on a single, low-power server for maximum efficiency.
B) Its turnkey nature, which simplifies deployment and allows their expert team to focus on building models rather than integrating infrastructure.
C) The inclusion of a full-stack, enterprise-supported software suite including NVIDIA AI Enterprise and HPE AI Essentials.
D) The option to choose a Large configuration with powerful NVIDIA H100 GPUs and a high-speed RoCE fabric for demanding fine-tuning workloads.
E) A simple, web-based interface for beginners to learn about AI concepts.

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

Solutions: