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HP HPE2-B08 Exam Syllabus Topics:

HPE Private Cloud AI Solutions Sample Questions:

1. An architect is positioning an HPE Private Cloud AI solution to a customer who is an "AI Pro." The customer's CIO is the key decision maker.
Which benefits of the solution would be most compelling to this stakeholder? (Choose 2.)

A) The specific version of the CUDA driver used by the NVIDIA GPUs.
B) A predictable, cloud-like operational expense model and a clear return on investment (ROI) by accelerating time-to-value for AI projects.
C) The ability to use NVIDIA NIMs to drastically simplify and standardize model deployment, reducing operational complexity and cost.
D) The ability to write Python code in a Jupyter Notebook.
E) Access to a command-line interface for the network switches.

2. An architect is sizing an HPE Private Cloud AI solution. The customer plans to deploy a generative AI application for 150 concurrent users that requires Retrieval-Augmented Generation (RAG).
The architect enters the following into the HPE Intelligent Configurator:
```
- Use case: Text Generation
- Number of users: 100-250
- RAG: Yes
- Model: Llama 2 13B (tool default for this use case)
```
Based on the provided inputs, which HPE Private Cloud AI configuration will the HPE Intelligent Configurator most likely recommend?

A) Small - Expanded (2-node)
B) Medium - Expanded (4-node)
C) Large - Standard (4-node)
D) Small - Standard (1-node)

3. 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 L40S GPUs in the Medium configuration are more cost-effective and power-efficient for this specific inference-heavy workload.
C) The Medium configuration has more storage capacity than the Large configuration.
D) The Large configuration does not support Retrieval-Augmented Generation (RAG).

4. A customer is expanding their HPE Private Cloud AI "Medium" configuration to support a new generative AI inferencing workload. They are concerned about network congestion and latency, as the AI workload is known to generate large, sudden bursts of traffic between the compute nodes and the storage system.
The solution uses NVIDIA Spectrum SN4700M switches for the AI interconnect.
Which feature of these switches is specifically designed to handle bursty traffic and prevent packet loss in a lossless Ethernet fabric?

A) The ability to route traffic based on application-layer metadata.
B) Integrated Silicon Root of Trust to validate the switch firmware integrity.
C) Support for Fibre Channel over Ethernet (FCoE) encapsulation.
D) A fully shared buffer architecture that can dynamically absorb traffic bursts from any port.

5. 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 architect must open a support ticket with HPE to have the services added to the quote.
D) The services are automatically included in the Smart Template and require no action.

Solutions: