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| Section | Weight | Objectives |
|---|---|---|
| Sell HPE AI Solutions | 16% | - Identify opportunities for selling HPE AI solutions in the market - Understand how to position HPE's AI capabilities, including partnerships with NVIDIA - Address customer requirements for AI-driven outcomes |
| Sell HPE GreenLake Flex Solutions | 11% | - Discuss opportunities to expand as-a-service business with HPE GreenLake - Explain how HPE GreenLake Flex provides flexible consumption-based pricing - Showcase how consumption analytics help customers manage and optimize IT usage |
| Describe Customer Challenges and Trends | 15% | - Identify the value and complexities of AI and HPC (High-Performance Computing) technologies - Recognize broader challenges like sustainability and security in today's IT landscape - Understand why customers are shifting to as-a-service and hybrid cloud models |
| Sell HPE Infrastructure as a Service (IaaS) Solutions | 21% | - Communicate the value of HPE IaaS in meeting customer needs for scalability and agility - Position these solutions effectively and match them to customer requirements |
| 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 |
| 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 |
1. 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) Predictive Analytics
C) Generative AI
D) Robotic Process Automation (RPA)
2. 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 allows network administrators to write and execute custom Python scripts directly on the switches.
B) It automatically orders new hardware when capacity limits are reached.
C) It generates a single, monthly invoice for all network-related services.
D) It provides AI-powered insights that predict and resolve potential user connectivity and performance issues before they generate help desk tickets.
3. During a sales conversation about a large data center refresh, a customer raises a significant objection.
Customer Objection:
"We simply don't have the capital budget approved for a multi-million dollar hardware purchase this year. We want to modernize, but our board is pushing to shift all major IT investments to a recurring, operational expense model." Which HPE offerings are specifically designed to overcome this type of financial objection? (Choose 2.)
A) HPE ProLiant servers with the highest core counts and memory.
B) HPE Services for break/fix hardware support.
C) HPE Financial Services, which provides flexible payment solutions like leasing and financing.
D) HPE Training Services for technical certifications.
E) HPE GreenLake, which provides a pay-per-use consumption model.
4. A customer's operations team is struggling to manage their IT environment. They present the following challenges.
Customer Pain Points:
- Too many different monitoring tools for servers, network, and cloud.
- The IT team gets thousands of alerts, but it's hard to find the real root cause of a problem.
- It takes too long to resolve incidents because teams have to manually correlate data from different systems.
- They have no way to automate routine fixes.
Which HPE SaaS solution is specifically designed to address all of these operational challenges?
A) HPE Financial Services
B) HPE GreenLake for Block Storage
C) HPE Aruba Networking Central
D) OpsRamp
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) HPE GreenLake for Private Cloud Business Edition
C) NVIDIA DGX Cloud hosted in a public cloud
D) A custom-built solution using components from multiple different server vendors
Solutions:
| Question # 1 Answer: C | Question # 2 Answer: D | Question # 3 Answer: C,E | Question # 4 Answer: D | Question # 5 Answer: A |
Selling HPE Aruba Networking Solutions
Selling Aruba Products and Solutions
Selling Aruba Products and Solutions
Selling HPE Aruba Networking Solutions
Selling the Value of HPE Hybrid IT Solutions
Selling the Value of HPE Hybrid IT Solutions (HPE2-E70 Korean Version)
Selling the Value of HPE Hybrid IT Solutions (HPE2-E70日本語版)
HPE Sale Entry Level SOlution 2021
Selling the Value of HPE Hybrid IT Solutions (HPE2-E70 Deutsch Version)
Selling HPE Edge-to-Cloud Solutions (2021)
Selling HPE AI and As-a-Service Solutions
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