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

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

2. An HPE partner has a successful HPE GreenLake deployment with a mid-sized financial services client. The partner is analyzing the customer's usage data in the HPE GreenLake platform to find opportunities for growth.
Consumption Analytics Insights:
- Compute usage is stable and predictable.
- Storage consumption is growing at 20% month-over-month.
- The customer has not yet enabled any of the advanced data protection services.
- Network traffic to public clouds is increasing, suggesting new hybrid application development.
Based on this analysis, what are the most logical expansion opportunities for the partner to propose? (Choose 2.)

A) Recommend replacing all existing storage with a larger, upfront capital purchase.
B) Propose adding OpsRamp to provide visibility and management for their new hybrid applications.
C) Propose reducing the customer's compute commitment to save them money.
D) Propose adding HPE GreenLake for Backup and Recovery to protect their growing data.
E) Suggest the customer stop developing hybrid applications.

3. A manufacturing client wants to implement an AI solution to improve quality control by visually inspecting products on the assembly line. The solution must be able to identify microscopic defects in real-time. This requires processing high-resolution video streams with extremely low latency.
What are the key infrastructure requirements that an HPE sales professional must identify for this AI use case? (Choose 2.)

A) A centralized, cloud-only storage solution for archiving data.
B) A simple file-sharing protocol like SMB.
C) Low-power, low-cost CPUs for maximum energy efficiency.
D) High-throughput, low-latency networking to move video data without delay.
E) High-performance, GPU-based accelerated computing to run the AI inference models.

4. HPE's overall strategy is to be the "edge-to-cloud" company.
Which statements accurately reflect how the HPE GreenLake platform and the acquisition of OpsRamp support this strategy? (Choose 2.)

A) By providing a consistent cloud operating experience for applications and data from the edge to the data center.
B) By divesting from all networking and edge computing solutions to focus solely on the data center.
C) By providing a unified platform (OpsRamp) for observability and management across HPE-managed assets and third-party multi-cloud environments.
D) By focusing exclusively on selling on-premises hardware with traditional support contracts.
E) By forcing customers to move all their edge data into a centralized public cloud.

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