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HPE Private Cloud AI Solutions Sample Questions:

1. A customer's distributed AI training job is experiencing poor performance. An analysis reveals high network latency. The architect suspects a misconfiguration in the NVIDIA Spectrum switches that form the RoCE-based AI fabric.
They review the following configuration snippet from one of the switch ports connected to a compute node:
```
interface ethernet 1/1
description "Connection to PCAI-Node-1"
speed 200G
mtu 9216
switchport mode trunk
## Priority Flow Control (PFC) is disabled on this port
```
What is the most likely cause of the performance issue?

A) The MTU size is too small for AI workloads.
B) The port is incorrectly configured in trunk mode instead of access mode.
C) Priority Flow Control (PFC) is disabled, which is mandatory for a lossless RoCE fabric.
D) The port speed is not sufficient for the connected H100 GPU.

2. A customer has used the HPE Intelligent Configurator and determined that the HPE Private Cloud AI
"Small - Expanded" configuration meets their needs. They now need to generate a final, quotable Bill of Materials (BOM).
What is the most direct and efficient method for the sales team to create this BOM?

A) Send the output from the HPE Intelligent Configurator directly to the distribution partner for a quote.
B) Select the "HPE Private Cloud AI - Small - Expanded" Smart Template within HPE One Config Advanced (OCA).
C) Manually add each component (servers, GPUs, switches, cables, etc.) one by one into HPE One Config Advanced (OCA).
D) Use the standard HPE ProLiant DL380a Gen11 server template in OCA and add the GPUs and networking manually.

3. A customer in the public sector wants to use AI to analyze live video feeds from city-wide cameras to automate public safety tasks like detecting traffic accidents or identifying security threats in real-time.
This is their first major AI initiative.
Which AI use case does this scenario represent?

A) Recommender Systems
B) Drug Discovery
C) Computer Vision / Intelligent Video Analytics
D) Natural Language Processing (NLP)

4. A customer at the 'Early AI User' maturity stage wants to begin using generative AI. Their primary concern is the complexity of deploying and managing the AI software stack. They are looking for a solution that accelerates their journey by providing a pre-integrated, enterprise-supported software platform for both development and deployment.
How do the software components of HPE Private Cloud AI address this customer's main challenge?
(Select all that apply.)
```
Customer Profile:
- Maturity: Early AI User
- Main Challenge: Complexity of AI software stack
- Goal: Accelerate adoption of generative AI
```

A) HPE AI Essentials provides a unified, self-service platform with curated open-source tools, eliminating integration complexity.
B) NVIDIA NIMs drastically simplify the deployment of pre-trained models into production-ready microservices.
C) NVIDIAAI Enterprise provides enterprise-grade support, security, and API stability for the entire AI software stack.
D) The solution requires the customer to manually integrate all software components, which promotes learning.
E) The software stack is limited to only HPE-developed tools to ensure a single point of contact.

5. A financial services firm is building a fraud detection application on HPE Private Cloud AI. The application needs to process a continuous stream of transaction data from multiple sources in real time.
The data science team requires a robust platform to build, manage, and execute the complex data pipelines needed to feed the AI model.
Which pre-integrated open-source tool within HPE AI Essentials is the industry standard for orchestrating and managing these complex data workflows and pipelines?

A) Prometheus
B) JupyterLab
C) Apache Airflow
D) Kyverno

Solutions: