HP HPE2-E84認定試験トレーリング、HPE2-E84日本語版復習資料HPE2-E84テスト資料の評価システムはスマートで非常に強力です。まず、当社の研究者は、HPE2-E84テスト問題のデータスコアリングシステムが実用性のテストに耐えられるようにするために多大な努力を払ってきました。学習タスクを完了してトレーニング結果を送信すると、評価システムはHPE2-E84試験トレントのマークの統計的評価を迅速かつ正確に実行し始めます。これにより、学習タスクを適切に調整し、対象の学習に集中できますHPE2-E84テストの質問があるタスク。 HP Selling HPE AI and As-a-Service Solutions 認定 HPE2-E84 試験問題 (Q30-Q35):質問 # 30
A customer with strong Environmental, Social, and Governance (ESG) goals wants to understand how HPE can help them build a more sustainable IT strategy. They are particularly concerned about energy consumption and overprovisioning in their data center.
Which HPE offerings and capabilities should a sales professional highlight to address these sustainability concerns? (Select all that apply.)
A. The use of older, less efficient hardware that has already been fully depreciated to avoid new manufacturing.
B. The HPE GreenLake consumption model, which helps eliminate overprovisioning by aligning capacity with real-time needs.
C. HPE's Asset Upcycling Services, which provide a secure and environmentally responsible way to retire old IT equipment.
D. The HPE Sustainability Dashboard, which provides visibility into IT energy consumption, carbon footprint, and utilization metrics.
E. The ability to purchase servers with the maximum possible number of CPUs and memory modules to ensure future capacity.
正解：B、C、D
質問 # 31
An existing HPE GreenLake customer is looking to expand their as-a-service environment. They have a new requirement to add a fully managed, on-premises Network-as-a-Service (NaaS) solution for their campus wireless and wired networks.
Which specific HPE GreenLake offering, built upon a powerful SaaS platform, should be proposed to meet this need?
A. HPE GreenLake for Block Storage
B. HPE GreenLake using HPE Aruba Networking Central
C. HPE GreenLake for Backup and Recovery
D. HPE GreenLake for Private Cloud Business Edition
正解：B
質問 # 32
A financial services customer is building a large-scale, on-premises AI cloud to develop and train Large Language Models (LLMs). They require a full-stack, purpose-built solution that is co-developed with the leader in accelerated computing and optimized for generative AI workloads.
Executive Summary: AI Initiative
- Project: "Project Prometheus" - Sovereign Generative AI Cloud
- Workload: Large-scale LLM training and fine-tuning.
- Key Requirement: A tightly integrated, enterprise-class solution from trusted vendors, offering a "turnkey" experience for AI developers.
- Strategic Partner Preference: Must include technology from NVIDIA.
Which comprehensive HPE solution should be positioned to meet all these high-level requirements?
A. A custom-built solution using components from multiple different server vendors
B. HPE GreenLake for Private Cloud Business Edition
C. 'NVIDIA AI Computing by HPE' portfolio
D. NVIDIA DGX Cloud hosted in a public cloud
正解：C
質問 # 33
A new customer is exploring HPE GreenLake for the first time. Their IT team is small and focused on application development, not infrastructure management. They have expressed the following needs:
Customer Initiative: "IT Modernization"
Business Goal: Free up IT staff from routine hardware management.
Key Challenge: Limited in-house expertise for managing advanced storage arrays.
Financial Model: Preference for OpEx to preserve capital for innovation projects.
Based on these requirements, which HPE IaaS solution is the most appropriate initial recommendation?
A. HPE MSA Storage array purchased outright.
B. HPE GreenLake for Block Storage.
C. HPE Alletra Storage MP array purchased with a traditional support contract.
D. A fully-managed public cloud provider.
正解：B
質問 # 34
Which statement best defines the value of OpsRamp for a customer managing a hybrid, multi-cloud environment?
A. It is a financial dashboard within HPE GreenLake used to track monthly service consumption and costs.
B. It is an on-premises hardware appliance used exclusively for monitoring HPE ProLiant servers.
C. It is a network management tool used only for configuring HPE Aruba switches and access points.
D. It is a SaaS platform that provides unified observability, AIOps, and automation across the entire IT estate, from on-premises to public cloud.