A would instead validate the other design where a web system needs serverless code invoked by filtered events rather than polling a database. That evidence is consistent with subscribe an Azure Function handler to the eligible Event Grid events, because event subscriptions trigger functions for matched published events. It does not demonstrate that the target case achieves the private gateway enforces centrally managed API policies locally.

B would instead validate the other design where a partner API needs a single managed gateway for OAuth validation, request quotas, and transformation. That evidence is consistent with front the APIs with Azure API Management and the relevant inbound policies, because aPIM applies gateway policies before forwarding requests to backends. It does not demonstrate that the target case achieves the private gateway enforces centrally managed API policies locally.

C would instead validate the other design where a company hosts several backend API versions and needs stable consumer-facing contracts. That evidence is consistent with publish versioned APIs through Azure API Management, because aPIM supports explicit versions and revisions for managed API products. It does not demonstrate that the target case achieves the private gateway enforces centrally managed API policies locally.

“Implement identity-scoped cache keys and expiry in a suitable managed application cache” relies on this Azure capability: correctly partitioned keys avoid cross-tenant leakage while reducing recomputation. This workload involves A high-traffic web storefront repeatedly reads expensive product catalog summaries from SQL. The decisive Azure design mechanism is: managed Redis reduces redundant backend reads while retaining an explicit expiry strategy. Thus “Introduce an application cache using Azure Managed Redis with appropriate TTL” is the applicable architecture choice.

“Organize configuration keys using Azure App Configuration labels” relies on this Azure capability: labeled keys support environment-scoped configuration variants. This workload involves A high-traffic web storefront repeatedly reads expensive product catalog summaries from SQL. The decisive Azure design mechanism is: managed Redis reduces redundant backend reads while retaining an explicit expiry strategy. Thus “Introduce an application cache using Azure Managed Redis with appropriate TTL” is the applicable architecture choice.

“Configure appropriate Azure Front Door edge caching for eligible content” relies on this Azure capability: edge caching reduces repeated origin traffic and client latency. This workload involves A high-traffic web storefront repeatedly reads expensive product catalog summaries from SQL. The decisive Azure design mechanism is: managed Redis reduces redundant backend reads while retaining an explicit expiry strategy. Thus “Introduce an application cache using Azure Managed Redis with appropriate TTL” is the applicable architecture choice.

A would instead validate the other design where a distributed application uses different settings for development and production but wants a single governed configuration store. That evidence is consistent with organize configuration keys using Azure App Configuration labels, because labeled keys support environment-scoped configuration variants. It does not demonstrate that the target case achieves a warm product lookup avoids SQL and refreshed catalog entries expire according to TTL.

C would instead validate the other design where a reporting app needs to cache complex per-user results but must prevent serving another user's private data. That evidence is consistent with implement identity-scoped cache keys and expiry in a suitable managed application cache, because correctly partitioned keys avoid cross-tenant leakage while reducing recomputation. It does not demonstrate that the target case achieves a warm product lookup avoids SQL and refreshed catalog entries expire according to TTL.

D would instead validate the other design where a globally deployed HTTP website needs cacheable public static responses served near users. That evidence is consistent with configure appropriate Azure Front Door edge caching for eligible content, because edge caching reduces repeated origin traffic and client latency. It does not demonstrate that the target case achieves a warm product lookup avoids SQL and refreshed catalog entries expire according to TTL.

“Use Azure Event Grid event subscriptions for the supported storage events” relies on this Azure capability: event Grid routes discrete events to chosen handlers. This workload involves A globally deployed HTTP website needs cacheable public static responses served near users. The decisive Azure design mechanism is: edge caching reduces repeated origin traffic and client latency. Thus “Configure appropriate Azure Front Door edge caching for eligible content” is the applicable architecture choice.

“Implement identity-scoped cache keys and expiry in a suitable managed application cache” relies on this Azure capability: correctly partitioned keys avoid cross-tenant leakage while reducing recomputation. This workload involves A globally deployed HTTP website needs cacheable public static responses served near users. The decisive Azure design mechanism is: edge caching reduces repeated origin traffic and client latency. Thus “Configure appropriate Azure Front Door edge caching for eligible content” is the applicable architecture choice.

“Introduce an application cache using Azure Managed Redis with appropriate TTL” relies on this Azure capability: managed Redis reduces redundant backend reads while retaining an explicit expiry strategy. This workload involves A globally deployed HTTP website needs cacheable public static responses served near users. The decisive Azure design mechanism is: edge caching reduces repeated origin traffic and client latency. Thus “Configure appropriate Azure Front Door edge caching for eligible content” is the applicable architecture choice.

A would instead validate the other design where a high-traffic web storefront repeatedly reads expensive product catalog summaries from SQL. That evidence is consistent with introduce an application cache using Azure Managed Redis with appropriate TTL, because managed Redis reduces redundant backend reads while retaining an explicit expiry strategy. It does not demonstrate that the target case achieves repeated eligible requests show edge cache hits without contacting the origin.

B would instead validate the other design where a blob-upload event should notify several loosely coupled handlers almost immediately. That evidence is consistent with use Azure Event Grid event subscriptions for the supported storage events, because event Grid routes discrete events to chosen handlers. It does not demonstrate that the target case achieves repeated eligible requests show edge cache hits without contacting the origin.

C would instead validate the other design where a reporting app needs to cache complex per-user results but must prevent serving another user's private data. That evidence is consistent with implement identity-scoped cache keys and expiry in a suitable managed application cache, because correctly partitioned keys avoid cross-tenant leakage while reducing recomputation. It does not demonstrate that the target case achieves repeated eligible requests show edge cache hits without contacting the origin.

“Configure appropriate Azure Front Door edge caching for eligible content” relies on this Azure capability: edge caching reduces repeated origin traffic and client latency. This workload involves A proposed Azure workload has the following constraint: A reporting app needs to cache complex per-user results but must prevent serving another user's private data. The decisive Azure design mechanism is: correctly partitioned keys avoid cross-tenant leakage while reducing recomputation. Thus “Implement identity-scoped cache keys and expiry in a suitable managed application cache” is the applicable architecture choice.

“Use Azure App Configuration Key Vault references plus managed identity” relies on this Azure capability: app Configuration can reference secrets that remain stored in Key Vault. This workload involves A proposed Azure workload has the following constraint: A reporting app needs to cache complex per-user results but must prevent serving another user's private data. The decisive Azure design mechanism is: correctly partitioned keys avoid cross-tenant leakage while reducing recomputation. Thus “Implement identity-scoped cache keys and expiry in a suitable managed application cache” is the applicable architecture choice.

“Introduce an application cache using Azure Managed Redis with appropriate TTL” relies on this Azure capability: managed Redis reduces redundant backend reads while retaining an explicit expiry strategy. This workload involves A proposed Azure workload has the following constraint: A reporting app needs to cache complex per-user results but must prevent serving another user's private data. The decisive Azure design mechanism is: correctly partitioned keys avoid cross-tenant leakage while reducing recomputation. Thus “Implement identity-scoped cache keys and expiry in a suitable managed application cache” is the applicable architecture choice.

A would instead validate the other design where a high-traffic web storefront repeatedly reads expensive product catalog summaries from SQL. That evidence is consistent with introduce an application cache using Azure Managed Redis with appropriate TTL, because managed Redis reduces redundant backend reads while retaining an explicit expiry strategy. It does not demonstrate that the target case achieves two test users receive only their own cached result and invalidation follows scope.

C would instead validate the other design where a globally deployed HTTP website needs cacheable public static responses served near users. That evidence is consistent with configure appropriate Azure Front Door edge caching for eligible content, because edge caching reduces repeated origin traffic and client latency. It does not demonstrate that the target case achieves two test users receive only their own cached result and invalidation follows scope.

D would instead validate the other design where a service must retrieve secrets without putting secret values in its ordinary configuration store. That evidence is consistent with use Azure App Configuration Key Vault references plus managed identity, because app Configuration can reference secrets that remain stored in Key Vault. It does not demonstrate that the target case achieves two test users receive only their own cached result and invalidation follows scope.

“Use Azure App Configuration Key Vault references plus managed identity” relies on this Azure capability: app Configuration can reference secrets that remain stored in Key Vault. This workload involves During a cloud design workshop, stakeholders explain: A microservices suite needs centrally managed nonsecret feature flags changed without rebuilding binaries. The decisive Azure design mechanism is: app Configuration centralizes feature switches separate from application deployment. Thus “Store application feature flags in Azure App Configuration” is the applicable architecture choice.

“Organize configuration keys using Azure App Configuration labels” relies on this Azure capability: labeled keys support environment-scoped configuration variants. This workload involves During a cloud design workshop, stakeholders explain: A microservices suite needs centrally managed nonsecret feature flags changed without rebuilding binaries. The decisive Azure design mechanism is: app Configuration centralizes feature switches separate from application deployment. Thus “Store application feature flags in Azure App Configuration” is the applicable architecture choice.

“Use Azure Service Bus topics with per-subscriber subscriptions” relies on this Azure capability: topic subscriptions fan out brokered messages to independent receivers. This workload involves During a cloud design workshop, stakeholders explain: A microservices suite needs centrally managed nonsecret feature flags changed without rebuilding binaries. The decisive Azure design mechanism is: app Configuration centralizes feature switches separate from application deployment. Thus “Store application feature flags in Azure App Configuration” is the applicable architecture choice.

A would instead validate the other design where a distributed application uses different settings for development and production but wants a single governed configuration store. That evidence is consistent with organize configuration keys using Azure App Configuration labels, because labeled keys support environment-scoped configuration variants. It does not demonstrate that the target case achieves the application changes feature behavior after the flag refreshes without code redeployment.

B would instead validate the other design where a billing event must reach several independently subscribed business systems with separate filters. That evidence is consistent with use Azure Service Bus topics with per-subscriber subscriptions, because topic subscriptions fan out brokered messages to independent receivers. It does not demonstrate that the target case achieves the application changes feature behavior after the flag refreshes without code redeployment.

C would instead validate the other design where a service must retrieve secrets without putting secret values in its ordinary configuration store. That evidence is consistent with use Azure App Configuration Key Vault references plus managed identity, because app Configuration can reference secrets that remain stored in Key Vault. It does not demonstrate that the target case achieves the application changes feature behavior after the flag refreshes without code redeployment.

“Store application feature flags in Azure App Configuration” relies on this Azure capability: app Configuration centralizes feature switches separate from application deployment. This workload involves A distributed application uses different settings for development and production but wants a single governed configuration store. The decisive Azure design mechanism is: labeled keys support environment-scoped configuration variants. Thus “Organize configuration keys using Azure App Configuration labels” is the applicable architecture choice.

“Introduce an application cache using Azure Managed Redis with appropriate TTL” relies on this Azure capability: managed Redis reduces redundant backend reads while retaining an explicit expiry strategy. This workload involves A distributed application uses different settings for development and production but wants a single governed configuration store. The decisive Azure design mechanism is: labeled keys support environment-scoped configuration variants. Thus “Organize configuration keys using Azure App Configuration labels” is the applicable architecture choice.

“Use Azure App Configuration Key Vault references plus managed identity” relies on this Azure capability: app Configuration can reference secrets that remain stored in Key Vault. This workload involves A distributed application uses different settings for development and production but wants a single governed configuration store. The decisive Azure design mechanism is: labeled keys support environment-scoped configuration variants. Thus “Organize configuration keys using Azure App Configuration labels” is the applicable architecture choice.

A would instead validate the other design where a high-traffic web storefront repeatedly reads expensive product catalog summaries from SQL. That evidence is consistent with introduce an application cache using Azure Managed Redis with appropriate TTL, because managed Redis reduces redundant backend reads while retaining an explicit expiry strategy. It does not demonstrate that the target case achieves clients load the intended labeled values for their environment.

C would instead validate the other design where a microservices suite needs centrally managed nonsecret feature flags changed without rebuilding binaries. That evidence is consistent with store application feature flags in Azure App Configuration, because app Configuration centralizes feature switches separate from application deployment. It does not demonstrate that the target case achieves clients load the intended labeled values for their environment.

D would instead validate the other design where a service must retrieve secrets without putting secret values in its ordinary configuration store. That evidence is consistent with use Azure App Configuration Key Vault references plus managed identity, because app Configuration can reference secrets that remain stored in Key Vault. It does not demonstrate that the target case achieves clients load the intended labeled values for their environment.