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HP HPE2-E84 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Sell HPE AI Solutions | 16% | - Identify opportunities for selling HPE AI solutions in the market - Address customer requirements for AI-driven outcomes - Understand how to position HPE's AI capabilities, including partnerships with NVIDIA |
| Sell HPE GreenLake Flex Solutions | 11% | - Explain how HPE GreenLake Flex provides flexible consumption-based pricing - Discuss opportunities to expand as-a-service business with HPE GreenLake - Showcase how consumption analytics help customers manage and optimize IT usage |
| Sell HPE Infrastructure as a Service (IaaS) Solutions | 21% | - Position these solutions effectively and match them to customer requirements - Communicate the value of HPE IaaS in meeting customer needs for scalability and agility |
| Explain HPE Distinguishing Values | 17% | - Highlight how HPE Financial Services and HPE Services support partners and customers - Describe the value proposition of HPE GreenLake, which offers cloud-like experiences on-premises - Communicate how HPE's strategic vision has made it a leader in AI |
| Sell HPE Software as a Service (SaaS) Solutions | 20% | - Know how to qualify potential clients for SaaS offerings and articulate the value of specific solutions - Outline the benefits of HPE SaaS solutions for both customers and partners |
| Describe Customer Challenges and Trends | 15% | - Identify the value and complexities of AI and HPC (High-Performance Computing) technologies - Understand why customers are shifting to as-a-service and hybrid cloud models - Recognize broader challenges like sustainability and security in today's IT landscape |
HP Selling HPE AI and As-a-Service Solutions Sample Questions:
Question 1
Which statement accurately describes a key market trend driving enterprise customers to adopt as-a-service (AaS) and AI solutions?
A. The desire to gain the financial flexibility of the cloud operating model for on-premises workloads, coupled with the need to modernize applications with AI.
B. A mandate from industry regulations to replace all capital expenditures with operational expenditures within the next fiscal year.
C. A strategic shift away from public cloud due to increasing data egress costs and a desire to repatriate all workloads.
D. A decreasing interest in data analytics, as most organizations have already extracted all possible value from their data.
Question 2
A CIO of a manufacturing company is outlining their strategic goals for the next three years.
Customer Strategic Goals:
- Goal 1: Increase operational efficiency on the factory floor by using predictive maintenance.
- Goal 2: Shift from large, infrequent technology investments to a more predictable, consumption-based financial model.
- Goal 3: Reduce the company's carbon footprint by optimizing IT infrastructure utilization.
Which market trends do these goals directly reflect?
A. The standardization on a single hardware vendor and the outsourcing of all IT functions to a third party.
B. A focus on traditional, on-premises IT purchasing and a move away from data-driven decision making.
C. A preference for public cloud-only deployments and a singular focus on reducing operational expenses above all else.
D. The convergence of AI for business outcomes, the demand for flexible as-a-service consumption, and the growing importance of sustainability.
Question 3
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. Seamless integration with third-party tools and public clouds to provide a single source of truth.
B. The functionality to order new physical servers directly from the OpsRamp dashboard.
C. Full-stack discovery and monitoring that provides a complete inventory of hybrid IT resources.
D. A service-centric AIOps engine that correlates alerts to identify root causes and reduce alert noise.
E. The ability to manage HPE Aruba network switches at the command-line level.
Question 4
A customer is starting their AI journey and is confused by the different types of AI. They provide a list of potential projects.
Customer AI Project List:
1. A chatbot to answer common HR questions.
2. A system to analyze factory sensor data to predict machine failure.
3. A tool to generate marketing copy for new products.
4. An application to create realistic images from text descriptions.
The sales professional needs to explain that projects 3 and 4 belong to a specific, transformative category of AI.
Which category is this?
A. Machine Learning
B. Generative AI
C. Predictive Analytics
D. Robotic Process Automation (RPA)
Question 5
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. HPE Financial Services, to create a custom lease for new switches.
B. Data Services Cloud Console (DSCC), to manage storage for the network.
C. OpsRamp, to monitor the existing Private Cloud.
D. HPE GreenLake for Aruba (using Aruba Central), to deliver NaaS.
Solutions:
| Question 1 Answer: A | Question 2 Answer: D | Question 3 Answer: A,C,D | Question 4 Answer: B | Question 5 Answer: D |
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