This course teaches you to plan and design advanced HPE compute solutions based on industry-standard advanced computing technologies and workloads, as they relate to optimizing performance and availability. Hands-on labs and activities guide you through complex design exercises such as information gathering and analyzing customer business outcomes and technical requirements. You learn to recommend and position HPE compute products, solutions, tools, and appropriate services for customer use cases and workloads. Finally, you architect and design an HPE solution based on customer needs, and then demonstrate and present the solution.

Audience

Typical candidates for this course are those who need to learn how to describe, position, recommend, demonstrate, plan, and design advanced HPE compute solutions to meet a customer’s business and technology requirements.

Prerequisites

Prior to attending this course, students should complete one of the following:

• HPE ASE - Server Solutions Architect V4
• HPE ASE - Synergy Solutions Integrator V1
• HPE ASE - Hybrid IT Solutions V1
• HPE ASE - Composable Infrastructure Integrator V1

Course objectives

Upon completion of this course, you should be able to:

• Describe industry-standard advanced computing technologies and workloads
• Describe and position the HPE advanced computing portfolio and the typical workloads for each platform
• Size, design, and configure advanced computing solutions for a set of customer workloads
• Manage implementation and startup of advanced computing solutions to ensure desired customer outcome
• Monitor, manage, operate, and update advanced computing solutions
• Optimize and troubleshoot advanced computing solutions

Certifications and related examinations:

• HPE Master ASE - Compute Solutions V1
• Exam HPE1-H02

Detailed Course Outline

Understanding Customer Needs and Compute Workloads 

• Evaluate typical advanced computing workloads, including their characteristics and requirements
• Compare and classify tools supporting the sizing process and performance management
• Identify typical advanced computing workloads and their characteristics and requirements as related to onpremises and as-a-service infrastructures
• Gather customer needs and analyze existing environments

HPE Compute Solutions Portfolio 

• Describe the industry-standard server portfolio
• Distinguish features of the HPE Composable Infrastructure portfolio, including HPE Synergy and HPE OneView
• Recommend the HPE Mission Critical portfolio, including the HPE Superdome Flex Server family, to customers
• Compare the components of the HPE purpose-built portfolio for high-performance computing (HPC), big data, and artificial intelligence (AI)
• Differentiate and explain HPE management technologies for advanced computing solutions
• Recommend and describe the HPE GreenLake Hybrid Cloud model to customers

Designing an HPE Compute Solution for an SAP HANA Workload 

• Examine and describe the SAP HANA® portfolio and its requirements
• Differentiate the components of HPE Superdome Flex and explain the management and setup process
• Recommend HPE Serviceguard for Linux® solutions and describe use cases with SAP HANA

Designing an HPE Compute Solution for a Virtualization Workload 

• Analyze the building blocks of the VMware Cloud Foundation™
• Analyze a solution design based on HPE Synergy used for VCF deployment
• Explain underlying complementary VMware® and HPE technologies

Designing an HPE Compute Solution for a Database Workload 

• Analyze the building blocks of an SQL Server solution deployed on HPE ProLiant DL380
• Describe typical database workloads
• Analyze and classify the building blocks of SQL Server, including those deployed on HPE ProLiant DL380
• Analyze and recommend components required to deploy an SQL Server failover cluster with Windows Server 2019

Designing an HPE Compute Solution for a Container Workload 

• Analyze the building blocks of the HPE Ezmeral Container Platform on HPE Synergy
• Recommend containerization solutions to customers, including use cases and benefits
• Evaluate and describe HPE Ezmeral Container Platform technologies and components
  • Control plane
  • Data fabric
  • Storage configuration options
  • Installation and upgrades
  • Management and monitoring
  • Security and access control
  • Application templates

Monitoring, Managing, and Optimizing an HPE Compute Solution 

• Explain how to monitor and manage an HPE compute solution using available tools
• Verify interoperability of the solution, optimize performance, and use an appropriate troubleshooting methodology

Presenting a Proposal 

• Prepare a proposal based on customer requirements. 
• Use appropriate tools to prepare a customer presentation