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| Section | Weight | Objectives |
|---|---|---|
| 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 |
| 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 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 |
| Sell HPE GreenLake Flex Solutions | 11% | - Explain how HPE GreenLake Flex provides flexible consumption-based pricing - Showcase how consumption analytics help customers manage and optimize IT usage - Discuss opportunities to expand as-a-service business with HPE GreenLake |
| 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 |
| 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 |
1. 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 offering a pre-validated, full-stack solution that is co-engineered by HPE and NVIDIA.
B) By allowing customers to select and integrate their own choice of components from any third-party vendor.
C) By providing a curated set of AI software and models, including the NVIDIA AI Enterprise software suite.
D) By focusing exclusively on providing the server hardware and leaving software integration to the customer.
E) By delivering a seamless, cloud-like experience for AI development and deployment through HPE GreenLake.
2. 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 decreasing interest in data analytics, as most organizations have already extracted all possible value from their data.
C) A mandate from industry regulations to replace all capital expenditures with operational expenditures within the next fiscal year.
D) A strategic shift away from public cloud due to increasing data egress costs and a desire to repatriate all workloads.
3. A life sciences research firm is launching a new drug discovery program. Their data scientists have provided a list of technical and business requirements for the supporting infrastructure.
Project Requirements: "Genomics Discovery"
- Technical Need: Massively parallel processing for complex genomic sequencing simulations.
- Data Volume: Petabytes of research data that must be processed quickly.
- Business Goal: Accelerate time-to-market for new therapies.
- Financial Model: Need to acquire the infrastructure as an operational expense (OpEx) via a consumption model.
Which HPE solution is the best fit for these requirements?
A) HPE SimpliVity for general virtual machine consolidation.
B) HPE StoreEasy for simple file sharing.
C) HPE GreenLake for High-Performance Computing (HPC).
D) HPE MSA Storage for entry-level block storage.
4. An HPE partner has a successful HPE GreenLake deployment with a mid-sized financial services client. The partner is analyzing the customer's usage data in the HPE GreenLake platform to find opportunities for growth.
Consumption Analytics Insights:
- Compute usage is stable and predictable.
- Storage consumption is growing at 20% month-over-month.
- The customer has not yet enabled any of the advanced data protection services.
- Network traffic to public clouds is increasing, suggesting new hybrid application development.
Based on this analysis, what are the most logical expansion opportunities for the partner to propose? (Choose 2.)
A) Propose adding HPE GreenLake for Backup and Recovery to protect their growing data.
B) Recommend replacing all existing storage with a larger, upfront capital purchase.
C) Propose adding OpsRamp to provide visibility and management for their new hybrid applications.
D) Suggest the customer stop developing hybrid applications.
E) Propose reducing the customer's compute commitment to save them money.
5. A customer has been using HPE GreenLake for Block Storage for over a year. A review of their consumption analytics reveals that their monthly usage consistently exceeds their committed capacity, resulting in higher-than-expected overage charges.
How should this data be used to have a strategic conversation with the customer? (Select all that apply.)
A) To suggest that they immediately migrate the workload to the public cloud.
B) As proof that the customer's application is inefficient and needs to be rewritten.
C) To demonstrate that the pay-per-use model is not working for them.
D) As an opportunity to discuss their future growth plans and right-size their environment for the next 12 months.
E) To proactively propose an increase in their committed capacity, which would lower their per-unit cost and reduce or eliminate overage charges.
Solutions:
| Question # 1 Answer: A,C,E | Question # 2 Answer: A | Question # 3 Answer: C | Question # 4 Answer: A,C | Question # 5 Answer: D,E |
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