Microsoft - Transition Exam: Certified Azure Solutions Architect Expert

Curriculum

Determine Workload Requirements

Determine Feasibility and Refine Requirements - Recommend changes during project execution (ongoing); create proof of concept (PoC); determine whether a pilot is needed; evaluate products and services to align with solution; create testing scenarios; refine user stories

Optimise Consumption Strategy - Optimise app service, compute, identity, network, and storage costs

Design for Identity and Security

Design Authorisation - Choose an authorisation approach; define access permissions and privileges; design secure delegated access (e.g., oAuth, OpenID, etc.); recommend when and how to use API Keys

Design a Business Continuity Strategy

Design a Site Recovery Strategy - Design a recovery solution; design a site recovery replication policy; design for site recovery capacity and for storage replication; design site failover and failback (planned/unplanned); design the site recovery network; recommend recovery objectives (e.g., Azure, on-prem, hybrid, Recovery Time Objective (RTO), Recovery Level Objective (RLO), Recovery Point Objective (RPO)); identify resources that require site recovery; identify supported and unsupported workloads; recommend a geographical distribution strategy

Design for High Availability - Design for application redundancy, autoscaling, data center and fault domain redundancy, and network redundancy; identify resources that require high availability; identify storage types for high availability

Implement Workloads and Security

Configure serverless computing - Create and manage objects; manage a Logic App resource; manage Azure Function app settings; manage Event Grid; manage Service Bus

Implement Authentication and Secure Data

Implement secure data solutions - Encrypt and decrypt data at rest; encrypt data with Always Encrypted; implement Azure Confidential Compute and SSL/TLS communications; manage cryptographic keys in the Azure Key Vault

Develop for the Cloud

Develop long-running tasks - Implement large-scale, parallel, and high-performance apps by using batches; implement resilient apps by using queues; implement code to address application events by using web hooks; address continuous processing tasks by using web jobs

Configure a message-based integration architecture - Configure an app or service to send emails, Event Grid, and the Azure Relay Service; create and configure a Notification Hub, an Event Hub, and a Service Bus; configure queries across multiple products; configure an app or service with Microsoft Graph

Develop for asynchronous processing - Implement parallelism, multithreading, processing, durable functions, Azure logic apps, interfaces with storage, interfaces to data access, and appropriate asynchronous compute models

Develop for autoscaling - Implement autoscaling rules and patterns (schedule, operational/system metrics, code that addresses singleton application instances, and code that addresses transient state

Implement distributed transactions - Identify tools to implement distributed transactions (e.g., ADO.NET, elastic transactions, multi-database transactions); manage transaction scope; manage transactions across multiple databases and servers

Develop advanced cloud workloads - Develop solutions by using intelligent algorithms that identify items from images and videos; develop solutions by using intelligent algorithms related to speech, natural language processing, Bing Search, and recommendations and decision making; create and integrate bots; integrate machine learning solutions in an app; create and implement IoT solutions