Study with HPE2-E84 most valid questions & verified answers

A customer is interested in HPE Aruba Networking Central for managing their campus and branch networks. They want to understand the specific value of its AIOps capabilities.
Customer Question: "We have network monitoring tools today.
What does the 'AI' in Aruba Central's AIOps actually do for me?"
How should the sales professional describe the value of AIOps in HPE Aruba Networking Central?

• A. It provides AI-powered insights that predict and resolve potential user connectivity and performance issues before they generate help desk tickets.
• B. It automatically orders new hardware when capacity limits are reached.
• C. It allows network administrators to write and execute custom Python scripts directly on the switches.
• D. It generates a single, monthly invoice for all network-related services.

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 focusing exclusively on providing the server hardware and leaving software integration to the customer.
• B. By delivering a seamless, cloud-like experience for AI development and deployment through HPE GreenLake.
• C. By allowing customers to select and integrate their own choice of components from any third-party vendor.
• 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.

What is the fundamental purpose of HPE AI Solutions, including High-Performance Computing (HPC), in a business context?

• A. To offer a simple, low-cost alternative to traditional desktop computers for office productivity applications.
• B. To enable organizations to analyze vast amounts of data, run complex simulations, and train AI models to accelerate innovation and gain competitive insights.
• C. To replace all human employees with automated systems.
• D. To provide basic file and print services for small office environments.

A customer is in a competitive evaluation for a storage-as-a-service solution. The IT director is leaning toward Dell APEX but has concerns about management complexity. The HPE sales professional presents the following information to highlight HPE's advantage.
Competitive Differentiator: Unified Cloud Experience
HPE Position:
- Single cloud console (DSCC) for managing the entire global fleet of block, file, and DR services.
- Intent-based provisioning simplifies administration.
- AIOps (HPE InfoSight) predicts and prevents issues across the stack.
Known Competitor Information (Dell APEX):
- Requires multiple, separate tools for different storage types and services.
- Lacks the equivalent depth of predictive analytics for issue prevention.
Which key value propositions should the sales professional emphasize to counter the Dell APEX position? (Select all that apply.)

• A. HPE allows customers to manage their entire data infrastructure lifecycle, from provisioning to protection, through a single cloud-native interface.
• B. HPE provides a consistent, simplified operational experience across the hybrid cloud, reducing management overhead and risk.
• C. HPE's AI-driven approach to infrastructure management proactively keeps applications running without manual intervention.
• D. HPE offers lower monthly pricing for all service tiers.
• E. Dell APEX offers a faster initial procurement and deployment timeline.

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