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What is the primary role of HPE Services in a customer's as-a-service or AI solution adoption journey?
A. To act as a trusted advisor and expert implementer, helping customers plan, migrate, operate, and evolve their hybrid cloud and AI environments.
B. To provide only break/fix hardware replacement for servers and storage.
C. To sell third-party software licenses for applications that run on HPE hardware.
D. To offer financing and leasing options to help customers acquire technology with an OpEx model.
Answer: A
NEW QUESTION # 39
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 GreenLake for High-Performance Computing (HPC).
C. HPE StoreEasy for simple file sharing.
D. HPE MSA Storage for entry-level block storage.
Answer: B
NEW QUESTION # 40
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: "roject 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. NVIDIA DGX Cloud hosted in a public cloud
C. HPE GreenLake for Private Cloud Business Edition
D. A custom-built solution using components from multiple different server vendors
Answer: A
NEW QUESTION # 41
A customer is in a competitive evaluation for a storage-as-a-service solution. The IT director is leaning toward Dell APEX but has concerns about management complexity. The HPE sales professional presents the following information to highlight HPE's advantage.
Competitive Differentiator: Unified Cloud Experience
HPE Position:
- Single cloud console (DSCC) for managing the entire global fleet of block, file, and DR services.
- Intent-based provisioning simplifies administration.
- AIOps (HPE InfoSight) predicts and prevents issues across the stack.
Known Competitor Information (Dell APEX):
- Requires multiple, separate tools for different storage types and services.
- Lacks the equivalent depth of predictive analytics for issue prevention.
Which key value propositions should the sales professional emphasize to counter the Dell APEX position? (Select all that apply.)
A. Dell APEX offers a faster initial procurement and deployment timeline.
B. HPE allows customers to manage their entire data infrastructure lifecycle, from provisioning to protection, through a single cloud-native interface.
C. HPE offers lower monthly pricing for all service tiers.
D. HPE provides a consistent, simplified operational experience across the hybrid cloud, reducing management overhead and risk.
E. HPE's AI-driven approach to infrastructure management proactively keeps applications running without manual intervention.
Answer: B,D,E
NEW QUESTION # 42
A manufacturing client wants to implement an AI solution to improve quality control by visually inspecting products on the assembly line. The solution must be able to identify microscopic defects in real-time. This requires processing high-resolution video streams with extremely low latency.
What are the key infrastructure requirements that an HPE sales professional must identify for this AI use case? (Choose 2.)
A. Low-power, low-cost CPUs for maximum energy efficiency.
B. High-throughput, low-latency networking to move video data without delay.
C. A centralized, cloud-only storage solution for archiving data.
D. High-performance, GPU-based accelerated computing to run the AI inference models.
E. A simple file-sharing protocol like SMB.
Answer: B,D
NEW QUESTION # 43
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