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HP HPE2-B08 Exam Syllabus Topics:

HPE Private Cloud AI Solutions Sample Questions:

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

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

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

3. A data analytics team is running workloads on an HPE Private Cloud AI solution. They observe that a data ingestion job is not meeting performance expectations, suspecting a CPU bottleneck. They believe the application is not correctly leveraging GPUDirect Storage (GDS), forcing data to be copied through the server's main memory before reaching the GPU.
Which are valid reasons why GDS might not be functioning correctly? (Choose 3.)

A) The network switches are not configured for lossless operation (e.g., PFC is disabled).
B) The NVIDIA peer memory driver has not been installed on the guest VM.
C) The HPE GreenLake for File Storage array is using SATA SSDs instead of NVMe SSDs.
D) The NVIDIA GPUs have been configured with Multi-Instance GPU (MIG), which enhances GDS performance.
E) The application is using a standard TCP/IP socket for data transfer instead of an RDMA-based library.

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

5. An architect has used the HPE Intelligent Configurator and determined that a "Medium - Standard" configuration is required.
When creating the final quote in One Config Advanced (OCA), what is the mandatory prerequisite that the customer is responsible for providing for the solution to be valid?

A) A rack elevation diagram for the data center.
B) A subscription to the NVIDIA NGC catalog for downloading AI models.
C) A valid, bring-your-own-license (BYOL) for VMware vSphere Foundation (VVF) or VMware Cloud Foundation (VCF).
D) A list of all end-users who will access the system.

Solutions: