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HPE Private Cloud AI Solutions Sample Questions:

1. 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.

2. 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) Natural Language Processing (NLP)
D) Computer Vision / Intelligent Video Analytics

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

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

5. An architect is presenting to a customer who is an 'Early AI User'. The customer is unsure about the differences between their two main project ideas.
Project 1: Create an internal chatbot that can answer HR policy questions by accessing the live employee handbook stored on a shared drive.
Project 2: Teach a general-purpose chatbot to adopt the company's formal communication style and tone for drafting official press releases.
How should the architect categorize the primary AI task for each project? (Choose 2.)

A) Project 1 is a RAG (Retrieval-Augmented Generation) workload.
B) Project 1 is a model training workload.
C) Project 2 is a fine-tuning workload.
D) Project 2 is a classic inferencing workload with no model customization.

Solutions: