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| Section | Objectives |
|---|---|
| Topic 1: Core Knowledge Areas | - Edge-to-Cloud workloads integration and architecture - Scenario-based problem solving and application - Solution planning and positioning HPE products and services - Compute, storage, and networking solution design - HPE GreenLake and cloud service models |
| Topic 2: Exam Objective | - Design and architect advanced HPE solutions across Edge-to-Cloud environments - Consider all consumption models and hosting locations - Translate business requirements into complex, multi-site solutions |
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NEW QUESTION # 16
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 # 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
A customer wants to consume HPE Aruba networking hardware in an as-a-service, pay-per-use model with capacity buffer management handled by HPE. Which offering should be proposed?
Answer: B
Explanation:
HPE GreenLake for Aruba networking extends the consumption-based, pay-per-use GreenLake model to Aruba switching, Wi-Fi, and SD-WAN hardware, including HPE-managed capacity buffers so the customer scales usage without large upfront capital purchases.
NEW QUESTION # 19
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: B
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. Option B is incorrect because LAG member Layer 2 ports represent a traditional Layer 2 aggregation design, not the preferred underlay model for EVPN/VXLAN. Option C is also incorrect because standalone Layer 2 links would create an underlay that lacks the routed ECMP characteristics expected in this fabric architecture. Option D is not the best answer because LAG is not required between TOR and core switches in an EVPN routed fabric; independent routed links provide better fabric behavior and failure isolation. The course includes Aruba networking and advanced virtualization/data-center design topics, and this question tests the candidate's ability to select the correct port model for an HPE Aruba EVPN/VXLAN solution.
NEW QUESTION # 20
Your customer is planning a Scality RING solution. Approximately 750 TB of data must be stored on the SDS. The customer prefers SSD or NVMe drives. What is true regarding this solution?
Answer: B
Explanation:
The correct answer is A because Scality RING is positioned by HPE as a scale-out object and file storage solution built on qualified HPE server platforms, including HPE Alletra Storage Server models. For a customer planning approximately 750 TB of usable software-defined storage, the design focus is the validated HPE server configuration, drive type, usable-capacity target, and Scality license sizing. HPE documentation describes the Scality RING solution as consisting of HPE server systems, Scality license and maintenance, and installation services, with licensing based on unique usable data capacity.
NEW QUESTION # 21
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