HP Updated HPE0-V27 Exam Questions and Answers by orson

HPE GreenLake is a pay-per-use IT model that delivers on-demand capacity and planning, combining the agility and economics of public cloud with the security and performance of on-premises IT. It helps customers improve their liquidity by avoiding large upfront capital expenditures and paying only for what they use. This frees up cash flow and enables them to invest in other strategic initiatives. According to an IDC study, customers using HPE GreenLake Management Services reported a 27% lower three-year cost of operations and a 287% five-year return on investment1. References:

• HPE GreenLake cloud platform
• The Business Value of HPE GreenLake Management Services
• HPE Expands Pay-Per-Use IT to Key Business Workloads
• Three Financial Benefits of Using HPE Greenlake

HPE InfoSight is a cloud-based platform that uses AI and machine learning to provide predictive analytics, proactive recommendations, and automated actions for HPE infrastructure. It collects and analyzes data from more than 100,000 systems worldwide and uses that intelligence to make every system smarter and more self-sufficient. HPE InfoSight offers the following features:

• B. It provides cloud-based predictive analytics for HPE Alletra all-flash arrays. HPE InfoSight supports HPE Alletra 6000 and 9000 all-flash arrays, which deliver consistentperformance, availability, and efficiency for mission-critical and business-critical workloads. HPE InfoSight monitors the health, performance, and capacity of the arrays and provides insights and guidance to optimize them. HPE InfoSight also predicts and prevents issues, such as bottlenecks, failures, or configuration errors, and automatically resolves them before they impact the business12.
• E. It enables cross-stack analytics for VMware and Hyper-V environments. HPE InfoSight provides visibility and insights across the entire stack, from the virtual machines to the storage, and helps troubleshoot and optimize the virtualized infrastructure. HPE InfoSight can identify the root cause of performance issues, correlate metrics and events, and provide recommendations for improvement. HPE InfoSight also supports VMware vVols, which simplifies storage management and provisioning for virtual machines34.

The other options are not true because:

• A. It automates the firmware updates of all registered HPE devices. HPE InfoSight does not automate the firmware updates of all registered HPE devices. It provides firmware recommendations based on the best practices and compatibility of the devices, but the firmware updates need to be performed manually by the administrator or through other tools, such as HPE OneView or HPE iLO Amplifier Pack56.
• C. It can be used locally (dark sites) and in cloud environments. HPE InfoSight is a cloud-based platform that requires internet connectivity to collect and analyze data from the devices. It cannot be used locally (dark sites) or in offline environments. However, HPE offers other solutions, such as HPE Primera Data Collector or HPE Nimble Storage Data Collector, that can be deployed on-premises and provide some of the features of HPE InfoSight, such as health monitoring, performance analysis, and support automation78.
• D. It provides cloud-based predictive analytics for HPE MSA. HPE InfoSight does not support HPE MSA, which is an entry-level storage array for small and medium businesses. HPE MSA has its own web-based management interface that provides basic monitoring and configuration capabilities, but it does not have the advanced features of HPE InfoSight, such as predictive analytics, AI-driven operations, or cross-stack visibility9 .

References:

• HPE InfoSight – AI-Driven Intelligence for Infrastructure
• HPE Alletra 6000 Data Sheet
• HPE InfoSight for Servers
• HPE InfoSight for VMware vCenter
• HPE InfoSight Firmware Recommendations
• HPE InfoSight Firmware Recommendations FAQ
• HPE Primera Data Collector
• HPE Nimble Storage Data Collector
• HPE MSA Storage
• [HPE MSA Storage Management Utility]

According to the HPE Edge-to-Cloud Solutions - Self-Directed Lab, page 14, the following terms match the statements:

• Customer has significant one-time budget available = Purchase
• Customer owns the assets = Purchase
• Customer requires best TCO = HPE GreenLake Services
• HPE owns the assets = HPE GreenLake Services
• Customer wants a fixed cost per month for a pre-defined set of resources = HPE GreenLake Services

• Purchase: This is a traditional acquisition model where the customer pays upfront for the hardware, software, and services they need. The customer owns the assets and isresponsible for their maintenance, management, and upgrade. This model is suitable for customers who have a large one-time budget available and who want to have full control over their assets.
• HPE GreenLake Services: This is a consumption-based model where the customer pays only for the resources they use, on a monthly basis. HPE owns the assets and provides them as a service to the customer, along with the necessary support, management, and optimization. This model is suitable for customers who want to reduce their capital expenditure, improve their TCO, and have a fixed cost per month for a pre-defined set of resources.

Fibre Channel over Ethernet (FCoE) is a protocol that allows Fibre Channel traffic to be encapsulated and transported over an Ethernet network. FCoE enables the convergence of storage and data networks, reducing the number of cables, switches, and adapters required for a dedicated lossless fabric. FCoE also preserves the features and benefits of Fibre Channel, such as high performance, reliability, security, and management. FCoE requires Enhanced Transmission Selection (ETS) and Priority-based Flow Control (PFC) to ensure lossless and low-latency transmission of storage traffic over Ethernet. HPE Aruba Ethernet-based storage fabrics support FCoE and provide cloud-like scalability and simplicity for data-driven applications1. References: Advanced HPE Edge-to-Cloud Solutions, Rev. 22.31 (0001196323) H61Z2S, HPE Aruba Ethernet-based storage fabrics bring cloud-like scalability to data-driven applications