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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) Early AI user
C) AI Beginner
D) AI Curious

2. A sales professional is preparing a quote for an HPE Private Cloud AI solution in OCA and needs to ensure the correct support services are attached.
What is the default level of support included with all components when using the "Flexible services" option in the Smart Template?

A) HPE Tech Care, Critical
B) HPE Complete Care Service
C) HPE Tech Care, Basic
D) HPE Tech Care, Essential

3. A customer states they need an AI solution for a "summarization" use case that will be accessed by approximately 75 concurrent users. The underlying data is updated frequently, so RAG will be required.
When using the HPE Intelligent Configurator, which three inputs are mandatory to get an initial sizing recommendation?

A) Number of users, Preferred GPU model, Data center location
B) Use case, Number of users, RAG requirement
C) RAG requirement, Power and cooling capacity, Desired software license term
D) Use case, Model choice, Network switch preference

4. A customer who is an "AI Beginner" wants to start an AI inferencing project at their edge locations.
Their goal is to analyze security camera feeds to help prevent theft. They have a limited budget and IT staff at the edge sites.
Which HPE AI solution is the most appropriate to position for this specific scenario?

A) HPE Private Cloud AI with NVIDIA
B) AI-optimized HPE ProLiant DL servers
C) HPE Cray systems
D) An HPE AI Services - Transformation Workshop
E) NVIDIA DGX Systems

5. An architect is designing an AI solution for a financial services company that needs to build a chatbot.
The chatbot must answer customer queries using the company's latest internal policy documents, which are updated daily. The company has a limited budget and no data scientists available for a lengthy model retraining project.
Which approach should the architect recommend?

A) Use a pre-trained model and implement a Retrieval-Augmented Generation (RAG) framework.
B) Train a new LLM from scratch using only the company's policy documents to ensure data privacy.
C) Use a pre-trained computer vision model to extract text from the policy documents.
D) Fine-tune a pre-trained model daily by retraining it on the entire set of policy documents.

Solutions: