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HP HPE2-B08 Exam Syllabus Topics:

HPE Private Cloud AI Solutions Sample Questions:

Question 1

A customer needs to run a generative AI workload at multiple, dispersed edge locations. Each location has significant space and power constraints. The workload is inference-only and does not require the absolute highest performance, but rather a balance of good performance and energy efficiency.
Which HPE ProLiant server and NVIDIA GPU combination is specifically positioned for this type of edge AI use case?

A. HPE ProLiant DL320 Gen11 server with NVIDIA L4 GPUs
B. HPE ProLiant DL380a server with NVIDIA H100 NVL GPUs
C. HPE ProLiant DL384 Gen12 server with NVIDIA H200 NVL GPUs
D. HPE Cray system with NVIDIA Grace Hopper Superchips

Question 2

An AI development team is training a large language model that exceeds the memory capacity of a single GPU. To continue training, they need to distribute the workload across multiple GPUs within the same server.
Which combination of HPE server and NVIDIA technology is specifically designed to provide a high- bandwidth, direct communication path between GPUs, bypassing the PCIe bus for improved performance in multi-GPU training?

A. HPE ProLiant DL380a Gen11 server with GPUDirect Storage (GDS)
B. HPE Alletra Storage MP with RoCE-capable network adapters
C. HPE ProLiant DL380a Gen12 server with an NVIDIA NVLink Bridge
D. HPE ProLiant DL325 Gen11 server with NVIDIA L4 GPUs

Question 3

An architect has generated a configuration for HPE Private Cloud AI in OCA. The customer wants to know if they can use their existing data center network switches for the high-performance AI interconnect instead of the NVIDIA Spectrum switches included in the BOM.
What is the correct response?

A. No, the NVIDIA Spectrum switches are part of the pre-validated, turnkey solution and are required for performance and support.
B. Yes, any 200GbE switch can be substituted to lower the cost.
C. No, because the HPE Private Cloud AI solution is air-gapped and cannot connect to external switches.
D. Yes, as long as the existing switches are also from NVIDIA, they are compatible.

Question 4

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 write Python code in a Jupyter Notebook.
D. Access to a command-line interface for the network switches.
E. The ability to use NVIDIA NIMs to drastically simplify and standardize model deployment, reducing operational complexity and cost.

Question 5

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

Solutions: