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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Architect and design HPE solutions based on customer needs | 24% | - Include security, management, and sustainability requirements - Qualify and design HPE GreenLake solutions - Design compute, storage, and networking architectures - Select appropriate consumption and delivery models |
| Topic 2: Gather and analyze customer business and technical requirements | 20% | - Collect and analyze performance metrics and existing infrastructure data - Identify business, technical, and system requirements and outcomes - Translate requirements into solution specifications |
| Topic 3: Present solutions and coordinate implementation planning | 13% | - Plan proof-of-concept and deployment phases - Coordinate with implementation teams - Communicate solution design and business outcomes |
| Topic 4: Recommend and position HPE offerings, solutions, products, and services | 20% | - Position traditional HPE compute, storage, networking, and workload solutions - Integrate partner ecosystem components - Articulate business value and competitive advantages of HPE offerings - Position HPE GreenLake and as-a-service offerings |
| Topic 5: Plan enhancements, upgrades, migration, and optimization | 8% | - Design migration paths and optimization strategies - Align with evolving customer needs - Assess opportunities for solution expansion or upgrade |
| Topic 6: Describe, differentiate, and apply industry trends, standard architectures, technologies, and cloud delivery models | 15% | - Industry-standard infrastructure and cloud architectures - Cloud delivery models and service types - Traditional, cloud, and hybrid solution use cases and comparisons |
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NEW QUESTION # 59
Your customer needs to rapidly train, tune, and deploy large-scale AI using a sustainable supercomputing platform that combines HPE ' s AI software and market-leading supercomputers. Which solution should you recommend?
Answer: A
Explanation:
HPE GreenLake for Large Language Models (LLMs) is a specialized cloud service designed to provide on- demand access to multi-node supercomputing clusters powered by HPE Cray supercomputers. This solution is specifically tailored for enterprises that need to train and tune large-scale AI models without the massive capital investment required to build their own supercomputing facility. The platform integrates HPE's AI software stack with highly efficient, liquid-cooled supercomputing infrastructure, addressing the customer ' s requirement for a " sustainable " platform. It enables organizations to accelerate their AI initiatives by providing the massive parallel processing power required for LLMs while utilizing a consumption-based model. This differs from standard Compute Ops Management (which is for server lifecycle) or Azure Stack HCI (which is for hybrid virtualization), as it focuses specifically on the high-end compute density required for Generative AI and deep learning. References: HPE GreenLake for Large Language Models Service Description; HPE AI and Supercomputing Solutions.
NEW QUESTION # 60
You have collected key performance indicators (KPIs) from the customer ' s current storage array using SAF Collector and SAF Analyse. Which tool can be used to turn these KPIs into a proposal for a new storage solution?
Answer: A
Explanation:
The HPE Storage Assessment Foundry (SAF) ecosystem is designed to streamline the sales and architecting process. Once the SAF Collector and SAF Analyse tools have successfully gathered and processed the performance data (such as IOPS, throughput, and latency) from a customer ' s existing third-party or legacy HPE array, the next step is to right-size the replacement solution. NinjaSTARS (and the cloud-based Ninja Online) is the primary tool for this purpose. It allows architects to import the performance data files directly from SAF. By doing so, NinjaSTARS can model how that specific workload would perform on modern platforms like HPE Alletra or HPE Nimble Storage. This integration ensures that the resulting proposal is not based on guesswork but on verified performance requirements, leading to a highly accurate and optimized configuration. References: HPE Storage Assessment Foundry (SAF) User Guide; HPE NinjaSTARS Tool Documentation; HPE Edge-to-Cloud Solutions: Sizing Best Practices.
NEW QUESTION # 61
You need to determine whether there is resource contention between VMs in an HPE Hyper-V environment.
Which tool should you use?
Answer: C
Explanation:
HPE CloudPhysics is a SaaS-based platform that provides data-driven insights and recommendations for optimizing the performance, availability, and cost of virtualized environments. HPE CloudPhysics collects and analyzes data from various sources, such as hypervisors, VMs, storage, and network devices, and applies machine learning and analytics to identify and resolve issues, such as resource contention, misconfigurations, bottlenecks, and inefficiencies. HPE CloudPhysics can help you monitor and troubleshoot HPE Hyper-V environments, as well as compare and plan migrations to HPE GreenLake or other cloud platforms.
NEW QUESTION # 62
You are designing a HPE Synergy solution for a virtualization project. Your customer's requirements include 30 dual-socket hypervisors and 2x 50Gb connectivity per server.
The required connectivity to EOR switches for all servers is 8x 100Gb and single MLAG for the whole solution.
How many interconnect modules should you recommend?
Answer: C
Explanation:
One pair of HPE Virtual Connect SE 100 Gb F32 modules provides the required 8×100Gb uplinks and 50Gb downlinks for all servers. Using Interconnect Link Modules in the satellite frames (two per satellite, totaling four) creates a single VC domain across frames, enabling one MLAG for the whole solution.
NEW QUESTION # 63
Your client needs a departmental Storage array to host a VDI workload at a remote office. The networking infrastructure is limited and the client has decided to connect the ESXi host servers with 12Gbps SAS.
Which HPE Storage product will meet their requirements?
Answer: A
Explanation:
The HPE MSA 2062 is a cost-effective, entry-level storage array that supports 12Gbps SAS connectivity to the host servers. It is designed for small and medium-sized businesses, remote offices, and departmental workloads. It can host up to 325 virtual desktops with a single array and deliver up to 325,000 IOPS of performance. It also offers advanced data services such as snapshots, replication, encryption, and tiering. The HPE MSA 2062 is compatible with VMware vSphere and can be easily managed with HPE OneView or HPE StoreOnce.
NEW QUESTION # 64
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