Architecting Microsoft Azure Solutions
Candidates for this course define the appropriate cloud native, cloud migration, and hybrid cloud solutions to meet the required functional, operational, and deployment requirements through the solution lifecycle. Candidates should know the features and capabilities of Azure services to be able to identify tradeoffs and make decisions for designing public and hybrid cloud solutions.
70-535 Architecting Microsoft Azure Solutions
Candidates for this course define the appropriate cloud native, cloud migration, and hybrid cloud solutions to meet the required functional, operational, and deployment requirements through the solution lifecycle. Candidates should know the features and capabilities of Azure services to be able to identify tradeoffs and make decisions for designing public and hybrid cloud solutions.
The candidate should understand DevOps technologies, provisioning Azure resources using ARM templates, and designing highly resilient workloads running on Azure.
Course Content
Design Compute Infrastructure (20-25%)
- Design solutions using virtual machines (VMs)
- Design solutions for serverless computing
- Design microservices-based solutions
- Design web applications
- Create compute-intensive applications
Design Data Implementation (15-20%)
- Design for Azure Storage solutions
- Design for Azure Data Services
- Design for relational database storage
- Design for NoSQL storage
- Design for CosmosDB storage
Design Networking Implementation (15-20%)
- Design Azure virtual networks
- Design external connectivity for Azure Virtual Networks
- Design security strategies
- Design connectivity for hybrid applications
Design Security and Identity Solutions (20-25%)
- Design an identity solution
- Secure resources by using identity providers
- Design a data security solution
- Design a mechanism of governance and policies for administering Azure resources
- Manage security risks by using an appropriate security solution
Design Solutions by using Platform Services (10-15%)
- Design for Artificial Intelligence Services
- Design for IoT
- Design messaging solution architectures
- Design for media service solutions
Design for Operations (10-15%)
- Design an application monitoring and alerting strategy
- Design a platform monitoring and alerting strategy
Design an operations automation strategy