Your customer needs to deploy 25 virtual machines and wants a pre-integrated solution that includes compute, storage, and data protection. What is the best platform for your customer?
HPE SimpliVity platform: This hyper-converged infrastructure solution provides a pre-integrated package that includes compute, storage, and data protection. It is optimized for virtual machine deployments and offers simplified management, making it the best choice for deploying 25 VMs with integrated data protection.
HPE SimpliVity
What tool should be used to input customer intent documents (CID) requirements?
* Understanding the Requirements:
The tool should be used to input customer intent documents (CID) requirements.
* Tool Options:
One Config Advanced (OCA) (A): A comprehensive configuration tool designed by HPE to help partners and customers configure and quote HPE products and solutions.
HPE NinjaSTARS (B): A competitive intelligence tool focused on providing technical comparison data, not primarily for CID input.
Solution Sales Enablement Tool (SSET) (C): An enablement tool for sales teams to create solution proposals, but not specifically for CID input.
HPE Storage STaTS Tool (D): A tool designed for storage sizing and TCO analysis, not for CID input.
* Why One Config Advanced (A) is the Best Fit:
Purpose-Built: OCA is specifically designed for configuring and quoting HPE products, allowing the input of detailed customer requirements.
Comprehensive Configuration: OCA provides a structured way to capture customer intent documents, ensuring all requirements are met in the proposed solution.
Integration with HPE Systems: Directly integrates with HPE's backend systems for accurate and up-to-date configuration and pricing information.
* Reference:
HPE One Config Advanced: HPE OCA Overview
HPE Configuration Tools: HPE Partner Ready Portal
Your customer needs a server that will support a new Big Data analytics solution. The customer requires parallel processing and a server that will use high core counts and memory capacity.
Which server should you recommend?
* Understanding the Requirements:
The customer needs a server to support a new Big Data analytics solution.
The solution requires parallel processing capabilities.
High core counts and memory capacity are critical requirements.
* Server Options:
DL325 (A): A single-socket server designed for virtualization and I/O intensive workloads. While capable, it might not meet the high core and memory demands for Big Data analytics as effectively as other options.
SY480 (B): A blade server designed for high-density environments, but it might not offer the same level of core and memory capacity as other rack-mounted options for Big Data analytics.
DL385 (C): A dual-socket server optimized for high core counts and memory capacity, making it suitable for Big Data analytics and parallel processing workloads.
DL380 (D): A versatile dual-socket server with a balance of performance and expandability, but the DL385 is specifically designed to maximize core count and memory capacity.
* Why DL385 (C) is the Best Fit:
High Core Count: The DL385 Gen10 Plus server supports AMD EPYC processors, which offer high core counts, ideal for parallel processing required in Big Data analytics.
Memory Capacity: It supports up to 4TB of memory, ensuring the capacity needed for large-scale data processing tasks.
Optimized for Performance: The DL385 is designed for demanding workloads, providing the necessary performance for Big Data analytics.
* Reference:
HPE DL385 Gen10 Plus Server: HPE DL385 Gen10 Plus
Big Data Analytics Solutions: HPE Big Data Solutions
Comparison of HPE Servers: HPE ProLiant Servers
How does HPE GreenLake platform benefit customers? (Select two.)
* Understanding the Benefits of HPE GreenLake:
HPE GreenLake is an as-a-service offering that provides a flexible, pay-per-use model for IT resources.
It aims to simplify IT management and provide a cloud-like experience on-premises.
* Option Analysis:
A . Manages entirely through HPE OneView services: HPE OneView is a management tool for infrastructure automation, but it is not specifically a core feature of GreenLake.
B . Allows a simple point-and-click automated provisioning via a self-service portal: This is a key feature of HPE GreenLake, providing ease of use and quick resource provisioning.
C . Provides management through CloudPhysics: CloudPhysics is a different tool focused on analytics and planning, not specifically a part of GreenLake.
D . Enables customers to manage capacity ahead of demand: HPE GreenLake offers capacity management to anticipate and scale resources as needed.
E . Provides a dedicated backup service at no cost for all HPE GreenLake workloads: While GreenLake offers various services, dedicated backup service at no cost is not a standard offering across all workloads.
* Why B and D are the Correct Answers:
B . Automated Provisioning: The self-service portal in HPE GreenLake allows users to provision resources quickly and efficiently, improving operational agility.
D . Capacity Management: HPE GreenLake provides tools to monitor and manage capacity, ensuring that resources are available ahead of demand, preventing over-provisioning or under-provisioning.
* Reference:
HPE GreenLake Overview: HPE GreenLake
GreenLake Benefits: GreenLake Benefits
A customer's infrastructure includes HPE StoreOnce and HPE ProLiant devices. They need an HPE solution that includes cloud-based machine learning, health and performance monitoring that can be used to make proactive decisions.
What should you recommend?
* Understanding the Requirements:
The customer needs a solution for cloud-based machine learning, health and performance monitoring.
The solution should assist in making proactive decisions regarding infrastructure.
* Solution Options:
A . HPE GreenLake Central: A management platform for HPE GreenLake, but it is not specifically designed for proactive infrastructure monitoring through machine learning.
B . HPE iLO Amplifier: Primarily used for firmware updates and health monitoring of HPE servers, but lacks comprehensive machine learning capabilities.
C . HPE InfoSight: A cloud-based AI platform for proactive monitoring, performance optimization, and predictive analytics for HPE infrastructure.
D . HPE OneView: Infrastructure management software, but does not provide the same level of predictive analytics and proactive monitoring as InfoSight.
* Why HPE InfoSight (C) is the Best Fit:
Proactive Monitoring: HPE InfoSight uses AI to predict and prevent issues before they impact operations.
Machine Learning: Continuously learns from the telemetry data collected across the installed base, providing insights and recommendations.
Comprehensive Coverage: Monitors the health and performance of HPE StoreOnce, ProLiant, and other devices, making it ideal for the customer's mixed environment.
* Reference:
HPE InfoSight Overview: HPE InfoSight
Benefits of HPE InfoSight: Why HPE InfoSight?
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