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| Section | Weight | Objectives |
|---|---|---|
| Solution Design and Architecture | 30% | - Hybrid cloud integration and management - Compute solutions: HPE ProLiant, Apollo, Superdome Flex - Security, resilience, and data protection - Networking: Aruba, HPE FlexFabric, software-defined networking - Storage solutions: HPE Alletra, Primera, 3PAR, Nimble |
| Requirements Gathering and Analysis | 20% | - Technical requirements: performance, scalability, security, compliance - Business drivers, goals, and constraints - Workload characteristics and placement considerations - Risk assessment and mitigation |
| Implementation Planning and Presentation | 15% | - Migration and integration strategies - Project phases, timeline, and dependencies - Present and validate solution design - Coordination with stakeholders and teams |
| Solution Positioning and Recommendation | 20% | - Align solutions to customer needs and budget - Service and support options - Differentiate HPE value propositions - Total cost of ownership and ROI analysis |
| 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 # 10
Refer to exhibit from a customer's Aruba CX switch.
show interface vxlan vni vteps
VNI : 150 VLAN : 150
Routing : Disabled VRF : default
Vxlan-status : operational
VTEPs
Origin Source Destination VTEP-STATUS
static 172.17.255.2 172.17.255.1 static operational
Which statement is true in this scenario?
Answer: C
Explanation:
The correct answer is A. The switch output clearly identifies the VTEP origin as "static," and the VNI is mapped to VLAN 150 with routing disabled. In ArubaOS-CX static VXLAN, the administrator manually configures the VXLAN interface, source IP address, VNI, and peer VTEP. Aruba documentation for static VXLAN states that the peer VTEP IP address is explicitly defined with the vtep-peer command. Option B describes EVPN-VXLAN behavior, where BGP EVPN is used as the control plane to advertise MAC/IP and VTEP reachability dynamically. That is not what the output shows; the displayed origin is static. Option C is unsupported by the exhibit because no license state or scale limit is shown. Option D is incorrect because VXLAN interoperability depends on protocol support, configuration, MTU, underlay reachability, and feature compatibility, not on both sites using the exact same CX switch model. Reference/topics: ArubaOS-CX VXLAN, static VTEP configuration, VNI-to-VLAN mapping, underlay/overlay validation.
NEW QUESTION # 11
Your customer is considering HPE SimpliVity or HPE Synergy with HPE Alletra Storage MP B10000 for a virtualization project. Which statement about these platforms and their benefits is true?
Answer: B
Explanation:
The correct answer is A because a traditional VMware design built on HPE Synergy and external HPE Alletra Storage MP B10000 has a much larger VMware cluster scale ceiling than an HPE SimpliVity cluster. HPE SimpliVity is a hyperconverged platform with strict federation and cluster sizing limits; HPE's SimpliVity FAQ states that the maximum recommended cluster size is 16 nodes, while a federation can scale further across clusters. A traditional VMware architecture can scale larger at the vSphere cluster level, so the statement correctly differentiates the two approaches.
NEW QUESTION # 12
Your customer's HPE Alletra 5000 deployment needs to support both iSCSI and Fibre Channel hosts simultaneously from the same array. What should you confirm during the design?
Answer: D
Explanation:
HPE Alletra 5000 (block storage) is designed to support multiple concurrent host connectivity protocols, including iSCSI and Fibre Channel, from a single unified platform, simplifying design for mixed-protocol environments.
NEW QUESTION # 13
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: B
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 # 14
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 # 15
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