HP HPE2-B08 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Customer Assessment and Solution Positioning | 15% | - Position appropriate HPE AI solutions - Assess AI maturity, workload characteristics and use cases |
| Solution Sizing and Configuration | 17% | - Building configurations via One Config Advanced (OCA) - Differences between configuration sizes and options - Using HPE Intelligent Configurator for sizing |
| Software Components of HPE Private Cloud AI with NVIDIA | 20% | - Benefits of HPE and NVIDIA software stack - Software functions supporting AI operations |
| Fundamental AI Concepts | 28% | - Impact of AI on industries and infrastructure requirements - General AI concepts, applications and workloads |
| Infrastructure Components of HPE Private Cloud AI with NVIDIA | 20% | - Infrastructure capabilities for AI workload requirements - Benefits of HPE and NVIDIA integrated infrastructure |
HPE Private Cloud AI Solutions Sample Questions:
1. An 'AI Pro' customer wants to deploy a solution to create 'digital twins' of their manufacturing equipment for predictive maintenance simulations. This workload requires significant GPU power for both the simulation and the underlying AI model.
Which HPE solution should be positioned as the primary platform for this advanced, data-center based workload?
A) The customer's existing VDI environment.
B) A standard data warehouse solution without GPU acceleration.
C) Individual HPE ProLiant DL320 Gen11 servers at the edge.
D) HPE Private Cloud AI with NVIDIA.
2. An architect is building a final configuration for an HPE Private Cloud AI solution using One Config Advanced (OCA). After selecting the "HPE Private Cloud AI - Medium Expanded" Smart Template, they review the generated Bill of Materials (BOM).
Which components are characteristic of the Medium Expanded configuration that the architect should expect to see in the OCA-generated BOM? (Select all that apply.)
A) 16x NVIDIA H100 NVL GPUs
B) 2x NVIDIA SN4700M Switches
C) 4x HPE ProLiant DL380a Gen11 Servers
D) 2x HPE Aruba Networking CX 6300M Switches
E) 1x HPE ProLiant DL380a Gen11 Server
F) 16x NVIDIA L40S GPUs
3. 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) The option to choose a Large configuration with powerful NVIDIA H100 GPUs and a high-speed RoCE fabric for demanding fine-tuning workloads.
B) The inclusion of a full-stack, enterprise-supported software suite including NVIDIA AI Enterprise and HPE AI Essentials.
C) Its turnkey nature, which simplifies deployment and allows their expert team to focus on building models rather than integrating infrastructure.
D) A simple, web-based interface for beginners to learn about AI concepts.
E) Its ability to run on a single, low-power server for maximum efficiency.
4. You are in a meeting with the VP of Manufacturing for a large industrial company. She describes their AI program as follows:
"We have a formal Center of Excellence for AI that reports directly to the CTO. Our strategy is to scale our successful predictive maintenance models across all 25 of our global plants. We have standardized on a consistent cloud and data governance strategy for all AI projects and have clear ROI targets for reducing downtime." Based on this description, which AI maturity level best describes this customer?
A) AI Curious
B) Early AI user
C) AI Beginner
D) AI Pro
5. 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) A predictable, cloud-like operational expense model and a clear return on investment (ROI) by accelerating time-to-value for AI projects.
B) Access to a command-line interface for the network switches.
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) The specific version of the CUDA driver used by the NVIDIA GPUs.
Solutions:
| Question # 1 Answer: D | Question # 2 Answer: B,C,D,F | Question # 3 Answer: A,B,C | Question # 4 Answer: D | Question # 5 Answer: A,C |














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