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HP Selling HPE AI and As-a-Service Solutions Sample Questions:

1. A customer is starting their AI journey and is confused by the different types of AI. They provide a list of potential projects.
Customer AI Project List:
1. A chatbot to answer common HR questions.
2. A system to analyze factory sensor data to predict machine failure.
3. A tool to generate marketing copy for new products.
4. An application to create realistic images from text descriptions.
The sales professional needs to explain that projects 3 and 4 belong to a specific, transformative category of AI.
Which category is this?

A) Robotic Process Automation (RPA)
B) Machine Learning
C) Generative AI
D) Predictive Analytics

2. A customer wants to deploy a full-stack AI solution that is optimized for both AI training and inference workloads. They are concerned about the complexity of integrating servers, storage, networking, and the AI software stack from different vendors.
How does the 'NVIDIA AI Computing by HPE' portfolio address this specific customer concern? (Select all that apply.)

A) By allowing customers to select and integrate their own choice of components from any third-party vendor.
B) By delivering a seamless, cloud-like experience for AI development and deployment through HPE GreenLake.
C) By focusing exclusively on providing the server hardware and leaving software integration to the customer.
D) By offering a pre-validated, full-stack solution that is co-engineered by HPE and NVIDIA.
E) By providing a curated set of AI software and models, including the NVIDIA AI Enterprise software suite.

3. A customer's operations team is struggling to manage their IT environment. They present the following challenges.
Customer Pain Points:
- Too many different monitoring tools for servers, network, and cloud.
- The IT team gets thousands of alerts, but it's hard to find the real root cause of a problem.
- It takes too long to resolve incidents because teams have to manually correlate data from different systems.
- They have no way to automate routine fixes.
Which HPE SaaS solution is specifically designed to address all of these operational challenges?

A) OpsRamp
B) HPE Aruba Networking Central
C) HPE GreenLake for Block Storage
D) HPE Financial Services

4. A financial services customer is building a large-scale, on-premises AI cloud to develop and train Large Language Models (LLMs). They require a full-stack, purpose-built solution that is co-developed with the leader in accelerated computing and optimized for generative AI workloads.
Executive Summary: AI Initiative
- Project: "Project Prometheus" - Sovereign Generative AI Cloud
- Workload: Large-scale LLM training and fine-tuning.
- Key Requirement: A tightly integrated, enterprise-class solution from trusted vendors, offering a "turnkey" experience for AI developers.
- Strategic Partner Preference: Must include technology from NVIDIA.
Which comprehensive HPE solution should be positioned to meet all these high-level requirements?

A) 'NVIDIA AI Computing by HPE' portfolio
B) NVIDIA DGX Cloud hosted in a public cloud
C) HPE GreenLake for Private Cloud Business Edition
D) A custom-built solution using components from multiple different server vendors

Solutions: