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HPE Private Cloud AI Solutions Sample Questions:

1. An IT director for a regional retail chain tells you they are "doing AI." Upon further questioning, you learn they have one data scientist who has built a single, experimental sales forecasting model as a proof-of-concept (PoC). The project lacks clear KPIs for success and there is no formal strategy for how to productionize it or what to do next.
How would you classify this customer's AI maturity level?

A) AI Pro
B) AI Curious
C) AI Beginner
D) Deployer of AI at scale

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) 16x NVIDIA L40S GPUs
D) 1x HPE ProLiant DL380a Gen11 Server
E) 4x HPE ProLiant DL380a Gen11 Servers
F) 2x HPE Aruba Networking CX 6300M Switches

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

4. A customer wants to deploy a turnkey private cloud for a variety of generative AI workloads, including RAG-based chatbots and some model fine-tuning. One of their key IT stakeholders is the data engineer.
Which specific challenge for a data engineer is directly addressed by the HPE Data Fabric component within HPE Private Cloud AI?

A) The high cost of NVIDIA AI Enterprise software licenses.
B) The complexity of writing Python code in a Jupyter Notebook.
C) The effort required to create and manage data pipelines and unify diverse, siloed data sources (files, objects, tables) into a single accessible platform.
D) The difficulty of managing GPU cluster utilization for training jobs.

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

Solutions: