Azure for Architects: Design a Compute Strategy
Offered By: LinkedIn Learning
Course Description
Overview
Explore study tips to prepare for the Design Infrastructure Solutions section of the Microsoft AZ-305 Azure Solutions Architect Expert certification exam.
Syllabus
Introduction
- Learning Azure infrastructure
- What you should know
- Introducing KinetEco team
- Example files and Azure costs
- Review of compute solutions in Azure
- Designing compute solutions based on workload requirements
- Review a virtual machine-based compute solution
- Designing a container-based compute solution
- Designing a serverless-based compute solution
- Review of application architecture components
- Design a caching solution for applications
- Design a messaging architecture
- Design an event-driven architecture
- Review automated deployment solutions for your applications
- Design an application configuration management solution
- Design a solution for API integration
- Challenge
- Solution
- Review migration solutions and Cloud Adoption Framework for Azure
- Assessment and discovery of on-premises servers, data, and applications for migration
- Design a migration solution for applications and virtual machines
- Design a migration solution for databases
- Design a migration solution for unstructured data
- Review of network solutions for Azure
- Design network solutions based on workload requirements
- Design connectivity solution for Azure resources
- Design hybrid connectivity solutions between Azure and on-premises networks
- Design a solution to optimize network performance for applications
- Design a solution for optimal network security
- Design load balancing and routing solutions
- Challenge
- Solution
- Next steps
Taught by
Scott Duffy
Related Courses
DEV202.2x: Building Cloud Apps with Microsoft Azure – Part 2Microsoft via edX Moving to the Cloud
University of Melbourne via Coursera Essential Google Cloud Infrastructure: Foundation
Google Cloud via Coursera Migrating Workloads to Azure
Microsoft via edX High Performance Computing in the Cloud
Dublin City University via FutureLearn