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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) Lead with HPE Cray systems for the digital twin simulation.
B) The customer is an 'AI Pro'.
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. During a discovery call, a customer from a telecommunications company explains their primary goal:
"We need to analyze network traffic patterns in real-time to detect anomalies that could indicate a security threat or a network outage." Which key use case for HPE Private Cloud AI does this represent?

A) AI Cybersecurity
B) Code Generation
C) Document Chat
D) AI Recommender System

3. An organization is deploying a multi-tenant AI environment using HPE Private Cloud AI. They need to run several smaller, independent AI inference workloads on a single, powerful NVIDIA H100 GPU to maximize resource utilization. Each workload must be securely isolated with its own dedicated portion of the GPU's compute and memory resources.
What key NVIDIA technology, supported on the Hopper architecture, allows for this secure partitioning of a single physical GPU? (Select all that apply.)

A) Confidential Computing
B) Remote Direct Memory Access (RDMA)
C) NVLink Bridge
D) Multi-Instance GPU (MIG)
E) GPUDirect Storage (GDS)

4. An architect uses the HPE Intelligent Configurator for a customer with 120 concurrent users for a text generation task with RAG. The tool recommends a "Medium - Expanded (4-node)" configuration. The customer then reveals they want to use a smaller, more efficient 7B parameter model instead of the 13B model the tool defaulted to.
How will this change in model size likely affect the sizing tool's recommendation?

A) It will require the architect to switch to the "application capacity" sizing method.
B) It will downgrade the recommendation to a "Medium - Standard (2-node)" configuration.
C) It will have no effect, as the number of users is the primary factor.
D) It will upgrade the recommendation to a "Large - Standard (4-node)" configuration.

5. What is the primary purpose of using RDMA over Converged Ethernet (RoCE) in the AI interconnect fabric of an HPE Private Cloud AI solution?

A) To partition a single physical network adapter into multiple virtual adapters for different tenants.
B) To encrypt data in transit between compute nodes and storage.
C) To guarantee packet delivery over lossy internet connections using the TCP protocol.
D) To allow direct memory-to-memory data transfers between nodes, bypassing the CPU kernel and reducing latency.

Solutions: