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Exam HPE2-B08 Study Guide - Exam HPE2-B08 Papers

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HPE Private Cloud AI Solutions Sample Questions (Q56-Q61):

NEW QUESTION # 56
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 architect must open a support ticket with HPE to have the services added to the quote.
C. The services can be selected and added to the configuration as optional line items within OCA.
D. The services are automatically included in the Smart Template and require no action.

Answer: C

NEW QUESTION # 57
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. Large - Standard (4-node)
B. Small - Expanded (2-node)
C. Small - Standard (1-node)
D. Medium - Expanded (4-node)

Answer: D

NEW QUESTION # 58
An architect is working with a customer who has been identified as an 'AI Pro'. They have a mature AI practice and are looking to scale their efforts in creating 'digital twin' simulations for automotive prototypes. This involves complex, graphics-intensive AI workloads. The customer wants a full-stack, turnkey private cloud solution to accelerate this initiative.
What is the most appropriate HPE solution to position for this customer?

A. An HPE AI Services - Transformation Workshop to redefine their goals.
B. HPE Private Cloud AI with NVIDIA.
C. A custom solution built on individual HPE ProLiant servers.
D. A set of AI-optimized HPE ProLiant DL servers for edge deployment.

Answer: B

NEW QUESTION # 59
An enterprise is designing a solution for training a large, custom Convolutional Neural Network (CNN) for a new computer vision application. Their data science team has determined that the training process will need to be distributed across multiple GPUs to be completed in a reasonable timeframe. The training process involves intensive matrix multiplication operations.
The architect is specifying components from the HPE Private Cloud AI solution.
Which infrastructure components are critical for accelerating this specific distributed training workload?
(Select all that apply.)
```
Workload Analysis:
- AI Model: Large Convolutional Neural Network (CNN)
- Task: Distributed Training
- Key Operation: Intensive matrix multiplication
```

A. HPE ProLiant DL325 servers for the worker nodes.
B. An NVIDIA NVLink Bridge to connect the GPUs.
C. The HPE Data Fabric software component.
D. HPE GreenLake for File Storage with standard NFS over TCP/IP.
E. NVIDIA GPUs featuring multiple Tensor Cores.

Answer: B,E

NEW QUESTION # 60
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. The customer is a 'Deployer of AI at scale'.
B. The customer is an 'Early AI user'.
C. The customer is an 'AI Pro'.
D. Lead with HPE Cray systems for the digital twin simulation.
E. Lead with HPE Private Cloud AI with NVIDIA.

Answer: B,E

NEW QUESTION # 61
......

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