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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Industry Trends and Cloud Models | 15% | - Cloud service models: IaaS, PaaS, SaaS - HPE GreenLake and consumption-based IT - Deployment models: public, private, hybrid, multi-cloud - IT transformation and emerging technologies |
| Topic 2: 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 |
| Topic 3: Solution Design and Architecture | 30% | - Storage solutions: HPE Alletra, Primera, 3PAR, Nimble - Networking: Aruba, HPE FlexFabric, software-defined networking - Security, resilience, and data protection - Hybrid cloud integration and management - Compute solutions: HPE ProLiant, Apollo, Superdome Flex |
| Topic 4: Implementation Planning and Presentation | 15% | - Migration and integration strategies - Project phases, timeline, and dependencies - Present and validate solution design - Coordination with stakeholders and teams |
| Topic 5: Solution Positioning and Recommendation | 20% | - Differentiate HPE value propositions - Service and support options - Align solutions to customer needs and budget - Total cost of ownership and ROI analysis |
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NEW QUESTION # 77
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.
NEW QUESTION # 78
Your customer is considering HPE Alletra 6000 or HPE Alletra Storage MP B10000 for use as a Peer Persistence enabling platform for their critical workloads. Which statement about these platforms and their benefits is true for Peer Persistence?
Answer: D
Explanation:
The correct answer is D. HPE Alletra Storage MP B10000 supports mission-critical Peer Persistence designs using synchronous Remote Copy, and FC can be used as an underlying Remote Copy transport. HPE material for Active Peer Persistence states that the solution uses Remote Copy synchronous mode, while HPE B10000 training material describes the requirement for synchronous RC links using RCFC or RCIP and cross-site Fibre Channel or iSCSI host SAN connectivity.
NEW QUESTION # 79
Which statement about designing HPE SimpliVity solutions for high availability is true?
Answer: D
Explanation:
The correct answer is D because an HPE SimpliVity stretched cluster requires an external arbitration mechanism to preserve data consistency and avoid split-brain behavior when communication between sites is disrupted. The arbiter should be placed at a third site, separate from the two availability zones or data-center locations that host the stretched cluster nodes.
NEW QUESTION # 80
Your customer plans to replace a legacy HPE BladeSystem solution with the HPE Synergy platform.
The customer requirements include:
30 compute nodes to support their virtualization workloads
Redundancy within the management subsystem
An in-frame storage solution to support vSAN
A guidance/automation technology with HPE Aruba to virtualize WWNs
Simplified management with a single logical enclosure
You are reviewing the following proposal:
3 x HPE Synergy 12000 frames
2 x HPE Virtual Connect SE 100Gb F32 Modules for Synergy
4 x HPE Synergy 50Gb Interconnect Link Modules
3 x HPE D3940 Storage Modules with maximum number of drives
6 x HPE Composer2 + 30 x HPE OneView Advanced licenses
30 x SY 480 Gen11 compute modules, each with 2 CPUs and appropriate
mezzanine cards
Which statement about the proposal is true to help meet the customer requirements?
Answer: A
Explanation:
The correct answer is C because HPE Synergy D3940 is an in-frame direct-attached storage module, and compute modules access it through HPE Synergy 12Gb SAS Connection Modules.
For a redundant in-frame storage design, each Synergy frame that contains a D3940 storage module should include two SAS connection modules to provide redundant paths between the compute modules and the storage module. This is especially important for virtualization and software-defined storage designs such as vSAN, where storage path availability is a core design requirement.
NEW QUESTION # 81
Your customer is expecting to see an increase in the amount of data stored on their HPE Alletra Storage MP B10000.
They are asking to create a plan to support a raw capacity of 450 TB all flash.
Refer to exhibit
What change would you recommend to the configuration to achieve this?
Answer: D
Explanation:
The correct answer is C. The exhibit shows an HPE Alletra Storage MP B10000 configuration based on QLC flash, with raw capacity below the customer's 450 TB target. The correct capacity adjustment is to increase the number of QLC drives in the system while selecting the sparing policy that maximizes available usable capacity for the intended design. Replacing QLC with TLC is not the right direction for a high-capacity all-flash requirement because QLC media is positioned for dense, cost-efficient capacity expansion. Adding host bus adapters does not increase raw storage capacity, so option A is unrelated to the requirement. Replacing controller nodes is also unnecessary because the problem is media capacity, not controller performance. HPE Alletra Storage MP B10000 QuickSpecs identify scale-out capacity characteristics, including maximum raw capacity per shelf, confirming that the platform is intended to scale capacity through shelves and drive population rather than by changing host-connectivity cards. The correct plan is to add QLC capacity to reach the raw-capacity target and adjust sparing appropriately. Reference/topics: B10000 capacity planning, QLC all-flash sizing, sparing policy, GreenLake proposal validation.
NEW QUESTION # 82
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