HP HPE2-E84 - Selling HPE AI and As-a-Service Solutions

A customer is reviewing their monthly usage report in the HPE GreenLake cloud platform. They notice a section with the following details.
Report Snippet: Consumption Analytics
- Service: Virtual Machine Instances
- Committed Monthly Capacity: 2,000 vCPU
- Peak Usage Last Month: 2,850 vCPU
- Average Usage Last Month: 1,950 vCPU
- Current Trend: Usage has grown 15% month-over-month for the past quarter.
- Recommendation: Increase committed capacity to 2,500 vCPU to optimize cost.
What is the primary business benefit the sales professional should highlight from this consumption analytics data?

• A. It shows that the hardware is failing and needs to be replaced immediately.
• B. It proves that the customer is not using the service enough to justify the cost.
• C. It allows the customer to directly manage the physical server hardware in the data center.
• D. It provides actionable insights for proactive capacity planning and cost optimization.

A large, distributed enterprise is evaluating Network-as-a-Service (NaaS) solutions to simplify operations. They need to manage wired, wireless, and SD-WAN infrastructure across thousands of remote sites from a single interface.
Which key features of HPE Aruba Networking Central are most relevant to this customer's needs? (Choose 2.)

• A. A cloud-native, single-pane-of-glass management for the entire network lifecycle.
• B. The ability to manage HPE Alletra storage arrays.
• C. Deep hypervisor integration for managing virtual machines.
• D. Zero Touch Provisioning for rapidly deploying and configuring new equipment at remote sites.
• E. A built-in ticketing system for managing IT help desk requests.

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

What is the core value proposition of a flexible, consumption-based solution like HPE GreenLake Flex Solutions compared to a traditional fixed-term lease?

• A. It provides a buffer of extra capacity on-premises that the customer can access instantly and only pay for when it is consumed.
• B. It includes all software licensing for applications running on the infrastructure.
• C. It allows the customer to purchase the equipment at the end of the term for a fixed, predetermined price.
• D. It guarantees a lower total cost of ownership over a three-year period.

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