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HPE Private Cloud AI Solutions Sample Questions:

1. 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 Pro
B) AI Beginner
C) AI Curious
D) Early AI user

2. An architect is designing a distributed training solution using HPE Private Cloud AI. The solution involves multiple HPE ProLiant DL380a servers, each with four NVIDIA H100 GPUs.
Review the logical network topology:
```
[HPE ProLiant Server 1] \
- GPU 0 <--> GPU 1 (Internal)
- GPU 2 <--> GPU 3 (Internal)
\
[NVIDIA Spectrum Switch (RoCE)] <--> [HPE GreenLake for File Storage]
/
[HPE ProLiant Server 2] /
- GPU 0 <--> GPU 1 (Internal)
- GPU 2 <--> GPU 3 (Internal)
```
Which interconnect technology facilitates the highest-bandwidth communication path labeled "(Internal)" for scaling the training job across the GPUs within a single server?

A) PCI Express (PCIe) Gen5
B) RDMA over Converged Ethernet (RoCE)
C) NVIDIA NVLink Bridge
D) GPUDirect Storage (GDS)

3. A customer is using the HPE Intelligent Configurator to determine the correct size for an HPE Private Cloud AI solution. Their primary use case is a text generation chatbot for internal HR support.
What is the MOST critical piece of information the customer must provide to the sizing tool to get an accurate recommendation for the number and type of GPUs required?

A) The physical location of the data center where the solution will be deployed.
B) The brand of networking switches used in their existing data center fabric.
C) The estimated number of concurrent users who will be querying the chatbot.
D) The number of ML engineers who will maintain the model.

4. The three pre-defined sizes (Small, Medium, Large) of HPE Private Cloud AI are designed to address different primary workloads. Match the configuration size to its intended primary workload.
*Configuration Size:
1. Small
2. Medium
3. Large
*Primary Workload:
a. AI Inferencing with RAG and large-scale Fine-Tuning
b. AI Inferencing
c. AI Inferencing with RAG

A) 1-a, 2-b, 3-c
B) 1-c, 2-a, 3-b
C) 1-b, 2-a, 3-c
D) 1-b, 2-c, 3-a

5. An architect is explaining the HPE Private Cloud AI configurations to a customer.
What is the key differentiator between the "Large" configuration and the "Small" and "Medium" configurations in terms of hardware?

A) The Large configuration is deployed in a single rack, while the Small and Medium require two racks.
B) The Large configuration uses NVIDIA H100 NVL GPUs, while the Small and Medium configurations use NVIDIA L40S GPUs.
C) The Large configuration is the only one that includes HPE GreenLake for File Storage.
D) The Large configuration uses AMD processors, while the Small and Medium configurations use Intel processors.

Solutions: