AZ-305 · Question #59
Hotspot Question You are designing an Azure App Service web app. You plan to deploy the web app to the North Europe Azure region and the West Europe Azure region. You need to recommend a solution…
This question tests knowledge of Azure Traffic Manager routing methods and App Service scaling to achieve regional failover with cost minimization for a multi-region web app deployment.
Question
Exhibit
Answer Area
- Request routing method:A Traffic Manager profileAzure Application GatewayAzure Load Balancer
- Request routing configuration:Cookie-based session affinityPerformance traffic routingPriority traffic routingWeighted traffic routing
Explanation
This question tests knowledge of Azure Traffic Manager routing methods and App Service scaling to achieve regional failover with cost minimization for a multi-region web app deployment.
Approach. For the routing method, 'Priority' routing should be selected in Azure Traffic Manager. Priority routing ensures users always access the North Europe endpoint first (assigned Priority 1), and only fail over to West Europe (Priority 2) if North Europe becomes unavailable - satisfying the requirement that users must always use North Europe unless it fails. For the App Service plan, the West Europe region (the secondary/failover region) should use the 'Free or Shared' tier (or at minimum a low-cost Basic tier), but since the requirement says to minimize costs and the secondary only needs to serve traffic during failover, deploying the secondary app on a lower tier (such as Free tier with scale-up only when needed, or using a minimal paid tier) minimizes cost. However, Traffic Manager requires endpoints to be accessible, so both apps must be running - using the lowest viable tier (Basic B1 or even Free for standby) in West Europe keeps costs down while keeping the failover available.
Concept tested. Azure Traffic Manager routing methods (Priority vs Performance vs Weighted vs Geographic) and Azure App Service plan tiers for multi-region high availability with cost optimization.
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