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

  • Exam Code: HPE2-E84
  • Exam Name: Selling HPE AI and As-a-Service Solutions
  • Updated: Aug 10, 2026
  • Q & A: 42 Questions and Answers

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HP HPE2-E84 Exam Syllabus Topics:

SectionObjectives
Commercial Models and Delivery- Subscription and consumption pricing concepts
- Deployment and delivery models (on-prem, hybrid, cloud-managed)
AI Solutions and Workload Enablement- AI/ML infrastructure requirements and architectures
- Data pipeline and analytics enablement
Sales Positioning and Competitive Differentiation- Value-based selling approach for HPE solutions
- Differentiation versus major competitors in hybrid cloud and AI infrastructure
Customer Value and Use Cases- Business outcomes enabled by AI and as-a-service adoption
- Industry use cases and workload mapping
HPE Portfolio Overview- Overview of HPE AI and data-driven solutions
- HPE infrastructure and hybrid cloud portfolio positioning
HPE GreenLake and As-a-Service Model- GreenLake platform capabilities and services
- Consumption-based IT model and value proposition

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

1. A new customer is exploring HPE GreenLake for the first time. Their IT team is small and focused on application development, not infrastructure management. They have expressed the following needs:
Customer Initiative: "IT Modernization"
Business Goal: Free up IT staff from routine hardware management.
Key Challenge: Limited in-house expertise for managing advanced storage arrays.
Financial Model: Preference for OpEx to preserve capital for innovation projects.
Based on these requirements, which HPE IaaS solution is the most appropriate initial recommendation?

A) A fully-managed public cloud provider.
B) HPE Alletra Storage MP array purchased with a traditional support contract.
C) HPE MSA Storage array purchased outright.
D) HPE GreenLake for Block Storage.


2. 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 guarantees a lower total cost of ownership over a three-year period.
C) It allows the customer to purchase the equipment at the end of the term for a fixed, predetermined price.
D) It includes all software licensing for applications running on the infrastructure.


3. An existing HPE GreenLake customer is looking to expand their as-a-service environment. They have a new requirement to add a fully managed, on-premises Network-as-a-Service (NaaS) solution for their campus wireless and wired networks.
Which specific HPE GreenLake offering, built upon a powerful SaaS platform, should be proposed to meet this need?

A) HPE GreenLake for Private Cloud Business Edition
B) HPE GreenLake using HPE Aruba Networking Central
C) HPE GreenLake for Backup and Recovery
D) HPE GreenLake for Block Storage


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


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


Solutions:

Question # 1
Answer: D
Question # 2
Answer: A
Question # 3
Answer: B
Question # 4
Answer: A,E
Question # 5
Answer: A

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