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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Solution Positioning and Recommendation | 20% | - Total cost of ownership and ROI analysis - Align solutions to customer needs and budget - Service and support options - Differentiate HPE value propositions |
| Topic 2: Industry Trends and Cloud Models | 15% | - Cloud service models: IaaS, PaaS, SaaS - HPE GreenLake and consumption-based IT - IT transformation and emerging technologies - Deployment models: public, private, hybrid, multi-cloud |
| Topic 3: Implementation Planning and Presentation | 15% | - Project phases, timeline, and dependencies - Present and validate solution design - Coordination with stakeholders and teams - Migration and integration strategies |
| Topic 4: Requirements Gathering and Analysis | 20% | - Risk assessment and mitigation - Business drivers, goals, and constraints - Technical requirements: performance, scalability, security, compliance - Workload characteristics and placement considerations |
| Topic 5: Solution Design and Architecture | 30% | - Networking: Aruba, HPE FlexFabric, software-defined networking - Hybrid cloud integration and management - Storage solutions: HPE Alletra, Primera, 3PAR, Nimble - Security, resilience, and data protection - Compute solutions: HPE ProLiant, Apollo, Superdome Flex |
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NEW QUESTION # 13
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 disks 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 consists of:
* 3 x HPE Synergy 12000 frames
* 2 x HPE Synergy Composer2 modules
* 4 x HPE Virtual Connect SE 100Gb F32 Modules for Synergy
* 4 x HPE Synergy 50Gb Interconnect Link Modules
* 3 x HPE Synergy D3940 Storage Modules, each with 20 SSD drives
* 1152 core VMware vSphere Enterprise Plus subscriptions
* 36 x 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,E
Explanation:
The correct answers are C and D. In a three-frame HPE Synergy design using the primary/satellite fabric model, a redundant pair of HPE Virtual Connect SE 100Gb F32 modules can provide the intelligent fabric function while Interconnect Link Modules extend connectivity to satellite frames.
Therefore, the proposal can be reduced by removing two unnecessary F32 modules if the remaining pair and link modules still satisfy the required redundant 25/50Gb connectivity. HPE describes the F32 architecture as consolidating data center network connections and scaling bandwidth across multiple Synergy frames using a primary/satellite design. Option D is also correct because Fibre Channel uplink functionality on the HPE Virtual Connect SE 100Gb F32 requires a separate Synergy 32Gb FC upgrade license. HPE OneView documentation states that the Synergy 32Gb FC Upgrade license is required for this interconnect to use Fibre Channel uplinks. Option B is false because the D3940 boot design still needs the SAS/RAID path. Option E is false because Fault Tolerance and advanced availability requirements make Standard an unsafe downgrade. Reference/topics: Synergy fabric validation, F32 FC licensing, D3940 boot architecture, VMware licensing review.
NEW QUESTION # 14
A customer wants to right-size HPE ProLiant Gen11 server memory configurations for a workload sensitive to memory bandwidth. What design consideration is most important?
Answer: A
Explanation:
Modern ProLiant Gen11 platforms achieve maximum memory bandwidth when DIMMs are populated in a balanced configuration across all available memory channels per processor; unbalanced population can significantly reduce effective bandwidth even if total capacity is unaffected.
NEW QUESTION # 15
A customer wants to implement Zero Trust security principles across their HPE Aruba wired and wireless network, including dynamic segmentation of IoT devices. Which HPE Aruba solution component is most relevant to this requirement?
Answer: C
Explanation:
Aruba ClearPass (or its cloud-native equivalent within Aruba Central) provides policy-based network access control, device profiling, and Dynamic Segmentation, which enforces role-based access and traffic isolation for IoT and other endpoints without redesigning the physical network.
NEW QUESTION # 16
Your customer is sizing an HPE Alletra 6000 array for a mixed OLTP/OLAP workload and wants predictable performance with minimal manual tuning. What capability should you highlight?
Answer: A
Explanation:
HPE InfoSight applies AI/ML-based predictive analytics across Alletra arrays to proactively manage performance, capacity, and resource allocation, reducing the need for manual tuning while identifying and often resolving issues before they impact workloads.
NEW QUESTION # 17
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: C
Explanation:
The correct answer is C because the customer's requirement is for an early-stage AI proof of concept, on-prem data usage, limited rack space, and an air-cooled environment. HPE ProLiant DL320 Gen11 with NVIDIA L4 GPUs is a compact, rack-efficient platform suitable for AI inference and edge-style workloads. HPE describes the DL320 Gen11 as a compact 1U platform that can support up to four NVIDIA L4 Tensor Core GPUs, making it appropriate for space-constrained AI inferencing and near- real-time insight use cases. RAG workloads often need strong inference performance and local data access, but a POC does not automatically justify large-scale H200, GH200, or Cray-class infrastructure.
Options A and D are much larger, higher-power configurations suited to more demanding AI training or large-scale accelerated-compute requirements. Option B is also excessive for the stated limited-rack, air-cooled POC profile. The right design is not the most powerful system; it is the platform that matches the workload maturity, thermal limits, footprint, and business validation stage. Reference
/topics: AI workload sizing, RAG inferencing, HPE ProLiant DL320 Gen11, NVIDIA L4, POC platform selection.
NEW QUESTION # 18
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