These are the sub-topics that you have to cover in
the Azure Compute Infrastructure
topic of Exam 70-535
(Architecting Microsoft Azure Solutions). This sub-topic should cover 10- 15%
of the exam. For the complete list of the seven topics, please refer to the
first post of this series :
• Design solutions using
virtual machines
• Design VM deployments by
leveraging availability sets, fault domains, and update domains in Azure; use
web app for containers; design VM Scale Sets; design for compute-intensive
tasks using Azure Batch; define a migration strategy from cloud services;
recommend use of Azure Backup and Azure Site Recovery
• Design solutions for
serverless computing
• Use Azure Functions to
implement event-driven actions; design for serverless computing using Azure
Container Instances; design application solutions by using Azure Logic Apps,
Azure Functions, or both; determine when to use API management service
• Design
microservices-based solutions
• Determine when a
container-based solution is appropriate; determine when container-orchestration
is appropriate; determine when Azure Service Fabric (ASF) is appropriate;
determine when Azure Functions is appropriate; determine when to use API
management service; determine when Web API is appropriate; determine which
platform is appropriate for container orchestration; consider migrating
existing assets versus cloud native deployment; design lifecycle management
strategies
• Design web applications
• Design Azure App Service
Web Apps; design custom web API; secure Web API; design Web Apps for
scalability and performance; design for high availability using Azure Web Apps
in multiple regions; determine which App service plan to use; design Web Apps
for business continuity; determine when to use Azure App Service Environment
(ASE); design for API apps; determine when to use API management service;
determine when to use Web Apps on Linux; determine when to use a CDN; determine
when to use a cache, including Azure Redis cache
• Create compute-intensive
application
• Design high-performance
computing (HPC) and other compute-intensive applications using Azure Services;
determine when to use Azure Batch; design stateless components to accommodate
scale; design lifecycle strategy for Azure Batch
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