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| Section | Weight | Objectives |
|---|---|---|
| Solution Positioning and Recommendation | 20% | - Service and support options - Differentiate HPE value propositions - Align solutions to customer needs and budget - Total cost of ownership and ROI analysis |
| Solution Design and Architecture | 30% | - Compute solutions: HPE ProLiant, Apollo, Superdome Flex - Hybrid cloud integration and management - Storage solutions: HPE Alletra, Primera, 3PAR, Nimble - Networking: Aruba, HPE FlexFabric, software-defined networking - Security, resilience, and data protection |
| Requirements Gathering and Analysis | 20% | - Workload characteristics and placement considerations - Business drivers, goals, and constraints - Technical requirements: performance, scalability, security, compliance - Risk assessment and mitigation |
| Implementation Planning and Presentation | 15% | - Coordination with stakeholders and teams - Migration and integration strategies - Present and validate solution design - Project phases, timeline, and dependencies |
| Industry Trends and Cloud Models | 15% | - HPE GreenLake and consumption-based IT - Deployment models: public, private, hybrid, multi-cloud - IT transformation and emerging technologies - Cloud service models: IaaS, PaaS, SaaS |
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NEW QUESTION # 45
You are validating the hardware architecture for an AI solution. Your customer has requested that you focus on possible upgrades for their HPE ProLiant Compute DL384 Gen12 server. Which of the following statements is correct?
Answer: B
Explanation:
The correct answer is B. The HPE ProLiant Compute DL384 Gen12 is an AI-optimized server platform built around NVIDIA Grace Hopper Superchip architecture. In this class of design, the CPU/GPU complex and high-bandwidth memory are integrated as part of the Superchip module rather than being expanded like conventional DIMM-based system memory. The HPE DL384 Gen12 data sheet describes the platform as using NVIDIA GH200 NVL2 Superchips and highlights coherent memory and memory bandwidth characteristics, which is exactly why the memory configuration is treated as tied to the Superchip selection.
NEW QUESTION # 46
A customer needs disaster recovery for a critical database running on HPE Alletra with an RPO (Recovery Point Objective) close to zero and automatic failover between two data centers. Which capability should be recommended?
Answer: D
Explanation:
A near-zero RPO with automatic failover requires synchronous replication combined with a transparent failover mechanism such as HPE's Peer Persistence capability, which allows hosts to continue I/O to a surviving array without manual intervention or path reconfiguration.
NEW QUESTION # 47
You are designing a solution for a customer that will support a virtualization workload based on HPE Synergy. Your customer has the following requirements:
Dual-socket HPE Synergy compute nodes running ESXi 8.x with maximum
memory supported
Each node should have access to shared storage from HPE Alletra Storage MP B10000 All virtual machines should be protected against host failure All virtual machines with vGPU must be protected with Fault Tolerance All compute nodes should boot from drives located in the D3940 Storage Modules protected with RAID 1 All frames should be managed as one logical enclosure to simplify management All compute nodes should support two network ports with the maximum Ethernet connectivity speed You are reviewing a proposal that you must verify. The proposal contains:
3 HPE Synergy 12000 frames
2 HPE Synergy Composer2 modules
4 HPE Virtual Connect SE 100Gb F32 Modules for Synergy
4 HPE Synergy 50Gb Interconnect Link Modules
3 HPE Synergy D3940 Storage Modules, each with 20 SSD drives
1152 core vSphere Enterprise Plus subscriptions
36 HPE Synergy 480 Gen11 compute nodes
Each SY480 Gen11 is configured with:
A single Platinum CPU with 32 cores
HPE Synergy 6820C 25/50Gb Converged Network Adapter
HPE Synergy 5830C 32Gb Fibre Channel Host Bus Adapter
HPE MR416i-o Gen11 12G SAS Mezzanine Controller
Which two statements are true regarding the proposal? (Select two.)
Answer: B,C
Explanation:
The correct answers are C and D. In a three-frame HPE Synergy logical enclosure using the primary/satellite fabric model, the HPE Virtual Connect SE 100Gb F32 modules act as the intelligent primary modules and HPE Synergy 50Gb Interconnect Link Modules extend connectivity into satellite frames. A pair of F32 modules with the required satellite link modules can satisfy the fabric requirement; therefore, the extra two F32 modules can be removed if the design still preserves redundancy and required 25/50Gb downlink connectivity. Option D is also correct because Fibre Channel uplink functionality on the HPE Virtual Connect SE 100Gb F32 module requires a Synergy 32Gb FC Upgrade license. This is necessary when using the Synergy fabric to provide FC access to HPE Alletra Storage MP B10000.
NEW QUESTION # 48
You are planning a data center networking solution for your customer.
The plan includes:
A VXLAN/EVPN solution
Aruba CX8325H as TOR switches
Aruba CX8320 as core switches
How should you configure the ports from the TOR switches to the core switches?
Answer: D
Explanation:
The correct answer is A because VXLAN/EVPN data-center fabrics are normally built on a routed Layer 3 underlay. In this design, each top-of-rack switch forms independent routed links toward the core or spine layer, and equal-cost multipath routing is used to provide scale-out bandwidth and resilience. The VXLAN/EVPN overlay then provides Layer 2 and Layer 3 tenant connectivity above that routed underlay.
NEW QUESTION # 49
Your customer is in the early stages of an AI project. They are requesting a POC demonstrating how they can utilize on-prem data with a limited amount of rack space, in an air-cooled environment.
Performance with the AI use case of Retrieval-Augmented Generation (RAG) will be the primary factor in their decision making.
Which HPE Compute offering would be suitable in this scenario?
Answer: A
Explanation:
The correct answer is B. The customer is not asking for the lowest-cost AI inference server; the scenario explicitly states that RAG performance is the primary decision factor, while also requiring limited rack space and air cooling. HPE ProLiant Compute DL384 Gen12 with NVIDIA GH200 NVL2 is the strongest fit because it is designed for high-performance enterprise AI and provides coherent CPU
/GPU memory architecture with very high memory bandwidth, which is especially valuable for RAG and larger language-model workflows. HPE product information describes the DL384 Gen12 as a 2U air-cooled 19-inch rack server with NVIDIA GH200 NVL2, and HPE states that the platform provides outstanding coherent memory and memory bandwidth to run larger models faster and more cost- effectively. Option A is powerful, but the DL380a Gen12 is a larger GPU platform and is less optimized for the "limited rack space" RAG-specific requirement than the DL384. Option C is compact but lower- performance, making it weaker when performance is the primary factor. Option D is excessive for an early-stage on-prem POC. Reference/topics: AI workload sizing, RAG architecture, DL384 Gen12, GH200 NVL2, air-cooled AI infrastructure.
NEW QUESTION # 50
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