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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: 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 |
| Topic 2: Explain HPE Distinguishing Values | 17% | - Communicate how HPE's strategic vision has made it a leader in AI - Describe the value proposition of HPE GreenLake, which offers cloud-like experiences on-premises - Highlight how HPE Financial Services and HPE Services support partners and customers |
| Topic 3: Sell HPE AI Solutions | 16% | - Understand how to position HPE's AI capabilities, including partnerships with NVIDIA - Address customer requirements for AI-driven outcomes - Identify opportunities for selling HPE AI solutions in the market |
| Topic 4: Sell HPE GreenLake Flex Solutions | 11% | - Showcase how consumption analytics help customers manage and optimize IT usage - Discuss opportunities to expand as-a-service business with HPE GreenLake - Explain how HPE GreenLake Flex provides flexible consumption-based pricing |
| Topic 5: Describe Customer Challenges and Trends | 15% | - 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 - Identify the value and complexities of AI and HPC (High-Performance Computing) technologies |
| Topic 6: Sell HPE Software as a Service (SaaS) Solutions | 20% | - Outline the benefits of HPE SaaS solutions for both customers and partners - Know how to qualify potential clients for SaaS offerings and articulate the value of specific solutions |
1. A large, distributed enterprise is evaluating Network-as-a-Service (NaaS) solutions to simplify operations. They need to manage wired, wireless, and SD-WAN infrastructure across thousands of remote sites from a single interface.
Which key features of HPE Aruba Networking Central are most relevant to this customer's needs? (Choose 2.)
A) A built-in ticketing system for managing IT help desk requests.
B) The ability to manage HPE Alletra storage arrays.
C) Zero Touch Provisioning for rapidly deploying and configuring new equipment at remote sites.
D) A cloud-native, single-pane-of-glass management for the entire network lifecycle.
E) Deep hypervisor integration for managing virtual machines.
2. A customer wants to deploy a full-stack AI solution that is optimized for both AI training and inference workloads. They are concerned about the complexity of integrating servers, storage, networking, and the AI software stack from different vendors.
How does the 'NVIDIA AI Computing by HPE' portfolio address this specific customer concern? (Select all that apply.)
A) By providing a curated set of AI software and models, including the NVIDIA AI Enterprise software suite.
B) By offering a pre-validated, full-stack solution that is co-engineered by HPE and NVIDIA.
C) By focusing exclusively on providing the server hardware and leaving software integration to the customer.
D) By delivering a seamless, cloud-like experience for AI development and deployment through HPE GreenLake.
E) By allowing customers to select and integrate their own choice of components from any third-party vendor.
3. What is the primary role of HPE Services in a customer's as-a-service or AI solution adoption journey?
A) To provide only break/fix hardware replacement for servers and storage.
B) To offer financing and leasing options to help customers acquire technology with an OpEx model.
C) To sell third-party software licenses for applications that run on HPE hardware.
D) To act as a trusted advisor and expert implementer, helping customers plan, migrate, operate, and evolve their hybrid cloud and AI environments.
4. 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) A public cloud provider's spot instances for cheap, temporary compute.
B) An outright purchase of HPE ProLiant servers with basic support.
C) A lease on HPE Alletra storage arrays.
D) HPE GreenLake for HPC, which provides a fully managed, consumption-based HPC environment.
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) HPE GreenLake for Private Cloud Business Edition
B) NVIDIA DGX Cloud hosted in a public cloud
C) 'NVIDIA AI Computing by HPE' portfolio
D) A custom-built solution using components from multiple different server vendors
Solutions:
| Question # 1 Answer: C,D | Question # 2 Answer: A,B,D | Question # 3 Answer: D | Question # 4 Answer: D | Question # 5 Answer: C |
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