Microsoft Azure Solutions Architect Expert AZ-305 Practice Question
You are designing a multiregion e-commerce platform that runs stateless microservices on Azure Kubernetes Service in both East US and West US. The shopping-cart component requires sub-millisecond reads and writes, key-level time-to-live, configurable eviction policies, and automatic failover if an entire region becomes unavailable. You must choose a fully managed Azure service that minimizes code changes and keeps cached data synchronized between the two regions. Which solution should you recommend?
Rely on each App Service instance's in-memory cache and configure application affinity for session stickiness.
Use Azure SQL Database with active geo-replication and store shopping-cart data in a relational table.
Enable global caching in Azure Front Door Standard to store shopping-cart data at edge locations.
Deploy Azure Cache for Redis Enterprise with active geo-replication between East US and West US.
Azure Cache for Redis Enterprise supports active geo-replication, allowing caches in different regions to operate in active-active mode with automatic data synchronization and seamless failover. The Enterprise tier also supports persistence, key-level TTL, and all standard Redis eviction policies, while requiring only connection-string changes for most applications that already use Redis clients. Azure SQL Database is a relational store and cannot guarantee sub-millisecond cache latency. Azure Front Door Standard provides edge object caching but cannot store or replicate key-value shopping-cart data. In-memory caches inside App Service instances are not shared across regions and are lost during scale-out or failover. Therefore, Azure Cache for Redis Enterprise is the appropriate choice.
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Microsoft Azure Solutions Architect Expert AZ-305
Design infrastructure solutions
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