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

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

2. What is a primary benefit of HPE SaaS solutions, such as OpsRamp and HPE Aruba Networking Central, for a customer's IT operations team?

A) It provides a perpetual software license with a one-time purchase.
B) It guarantees a reduction in network latency for all applications.
C) It allows for the consumption of advanced software capabilities without the burden of managing the underlying application infrastructure.
D) It eliminates the need for any on-premises hardware.

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

4. A customer has been using HPE GreenLake for Block Storage for over a year. A review of their consumption analytics reveals that their monthly usage consistently exceeds their committed capacity, resulting in higher-than-expected overage charges.
How should this data be used to have a strategic conversation with the customer? (Select all that apply.)

A) As proof that the customer's application is inefficient and needs to be rewritten.
B) To demonstrate that the pay-per-use model is not working for them.
C) To suggest that they immediately migrate the workload to the public cloud.
D) As an opportunity to discuss their future growth plans and right-size their environment for the next 12 months.
E) To proactively propose an increase in their committed capacity, which would lower their per-unit cost and reduce or eliminate overage charges.

5. A customer is using HPE GreenLake for Block Storage and wants to optimize their environment to align with business-level objectives for their critical applications.
Which features of the Data Services Cloud Console (DSCC) should the sales professional highlight to demonstrate how HPE helps achieve this? (Choose 2.) Customer Goal: Ensure business-critical applications (e.g., SAP HANA) always have the necessary performance and protection, managed through a simple, intent-based workflow.

A) The use of Consumption Analytics to track historical usage and forecast future costs.
B) The use of AI-powered "cross-stack analytics" to predict and prevent performance issues before they impact applications.
C) The ability to provision storage by specifying the capacity, host group, and RAID level.
D) Intent-based provisioning where an administrator defines the desired service level (e.g., mission-critical tier) and the system automates placement and data protection.
E) The ability to monitor power consumption and carbon footprint from the sustainability dashboard.

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