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HP HPE2-E84 Exam Syllabus Topics:

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

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

2. A customer wants to gain unified visibility and AIOps-driven insights across their entire hybrid IT estate, which includes on-premises HPE infrastructure, virtualized environments, and workloads running in multiple public clouds.
Which capabilities of OpsRamp should a sales professional highlight to address this need for comprehensive, service-centric observability? (Select all that apply.)

A) A service-centric AIOps engine that correlates alerts to identify root causes and reduce alert noise.
B) The functionality to order new physical servers directly from the OpsRamp dashboard.
C) Seamless integration with third-party tools and public clouds to provide a single source of truth.
D) The ability to manage HPE Aruba network switches at the command-line level.
E) Full-stack discovery and monitoring that provides a complete inventory of hybrid IT resources.

3. 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 monitor power consumption and carbon footprint from the sustainability dashboard.
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) The use of Consumption Analytics to track historical usage and forecast future costs.
E) Intent-based provisioning where an administrator defines the desired service level (e.g., mission-critical tier) and the system automates placement and data protection.

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

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

Solutions: