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

HP HPE2-E84 test insides dumps
  • Exam Code: HPE2-E84
  • Exam Name: Selling HPE AI and As-a-Service Solutions
  • Updated: Jul 18, 2026
  • Q & A: 42 Questions and Answers
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HP HPE2-E84 Exam Syllabus Topics:

SectionWeightObjectives
HPE GreenLake & Consumption-Based Solutions20%- Financial and operational advantages
- GreenLake Flex and core solutions
- GreenLake value and consumption model
Solution Positioning & Sales Process20%- Align solutions to customer requirements
- Value-based selling techniques
- Differentiate HPE from competitors
Customer Challenges & Market Trends15%- Drivers for as-a-service and hybrid cloud adoption
- Business and technical challenges customers face
- Value of HPE Financial Services and HPE Services
HPE AI Solutions & Value Proposition25%- HPE AI portfolio and key differentiators
- HPE and NVIDIA partnership and offerings
- Use cases and business benefits of AI solutions
Selling HPE Software as a Service (SaaS)20%- Positioning HPE SaaS offerings
- SaaS model benefits for customers and partners
- Identify and qualify SaaS opportunities

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


2. An existing HPE GreenLake customer wants to expand their use of the platform. They have successfully deployed HPE GreenLake for Private Cloud Business Edition. Now, they want to provide unified, secure network management for their campus and branch offices via a consumption-based model.
Customer Scenario:
- Current State: HPE GreenLake customer for compute (Private Cloud BE).
- Goal: Add Network-as-a-Service (NaaS) for wired and wireless networks.
- Requirement: Must be managed through a cloud-based console and integrate with their as-a-service strategy.
Which HPE SaaS solution, integrated with the GreenLake platform, should be proposed to meet this NaaS requirement?

A) OpsRamp, to monitor the existing Private Cloud.
B) Data Services Cloud Console (DSCC), to manage storage for the network.
C) HPE Financial Services, to create a custom lease for new switches.
D) HPE GreenLake for Aruba (using Aruba Central), to deliver NaaS.


3. A medium-sized enterprise is embarking on its first major AI initiative. They have a team of data scientists but lack the deep expertise in managing and optimizing the underlying HPC infrastructure required for AI model training. They have a limited upfront budget but a clear business case for the project.
Customer Profile:
- Company Size: Medium Enterprise
- AI Experience: Limited infrastructure expertise
- Budget: Prefers OpEx over CapEx
- Project: Develop a predictive analytics model for customer churn.
Which HPE solution, combined with the right service and financial model, creates the most compelling proposal for this customer?

A) An outright purchase of HPE ProLiant servers with basic support.
B) A lease on HPE Alletra storage arrays.
C) HPE GreenLake for HPC, which provides a fully managed, consumption-based HPC environment.
D) A public cloud provider's spot instances for cheap, temporary compute.


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


5. A customer is comparing HPE GreenLake with a "do-it-yourself" (DIY) approach to building a private cloud. The customer's IT team believes they can save money by purchasing hardware and software separately and integrating it themselves.
Customer Objection: "We have smart engineers. We can build our own cloud experience by integrating hardware and software from different vendors.
Why should we pay for HPE GreenLake?"
How should a sales professional position the value of HPE GreenLake against this DIY approach?

A) Focus on the faster time-to-value and reduced risk achieved with a pre-integrated, fully managed as-a-service platform like HPE GreenLake.
B) Emphasize that HPE GreenLake offers more hardware configuration choices than a DIY approach.
C) Agree that the DIY approach is cheaper and suggest the customer only use HPE for hardware.
D) Explain that HPE GreenLake is primarily for customers who lack skilled engineers.


Solutions:

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

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