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Always-on capacity may negate savings for a mostly idle database.

Serverless and pause capabilities vary across tiers.

Compute elasticity does not replace recovery protection.

That assessment refers to the separate proposal 'Assume Business Critical offers general-purpose-style serverless auto-pause by default.' not to the recommendation under review. Here, Always-on provisioned compute can waste idle capacity in this scenario.

This concern applies to Promise the secondary contains every committed primary transaction synchronously. in another design data storage solutions for relational data design. The current proposal specifically fails because always-on provisioned compute can waste idle capacity in this scenario.

That assessment refers to the separate proposal 'Enable short auto-pause for a database with strict immediate response requirements.' not to the recommendation under review. Here, Always-on provisioned compute can waste idle capacity in this scenario.

That verification addresses the different requirement: An architect asserts serverless automatic pause is GA for every Azure SQL Database tier. It does not directly establish idle-time billing evidence demonstrates the intended savings.

That verification addresses the different requirement: A customer-facing database requires instant responses and predictable compute at all times. It does not directly establish idle-time billing evidence demonstrates the intended savings.

This is a test for A secondary region is intended for reporting but data may be delayed compared with the writer. The requirement here is instead demonstrated by review pause/resume history and effective compute billing.

Auto-pause introduces resume delay incompatible with no-cold-start expectations. This proposal contradicts the stated architecture constraint.

Always-on provisioned compute can waste idle capacity in this scenario. In the present requirement, a customer-facing database requires instant responses and predictable compute at all times. The needed design instead works because provisioned compute avoids the cold-resume behavior of paused serverless databases.

Business Critical does not share the same serverless capability profile. In the present requirement, a customer-facing database requires instant responses and predictable compute at all times. The needed design instead works because provisioned compute avoids the cold-resume behavior of paused serverless databases.

This concern applies to Force a PaaS migration without validating extension compatibility. in another design data storage solutions for relational data design. The current proposal specifically fails because auto-pause introduces resume delay incompatible with no-cold-start expectations.

That assessment refers to the separate proposal 'Keep a large provisioned database running continuously despite the idle workload.' not to the recommendation under review. Here, Auto-pause introduces resume delay incompatible with no-cold-start expectations.

That assessment refers to the separate proposal 'Assume Business Critical offers general-purpose-style serverless auto-pause by default.' not to the recommendation under review. Here, Auto-pause introduces resume delay incompatible with no-cold-start expectations.

This is a test for A legacy app uses kernel-level SQL extensions and unsupported OS customizations. The requirement here is instead demonstrated by load-test idle-to-request latency after the service has no activity.

That verification addresses the different requirement: An architect asserts serverless automatic pause is GA for every Azure SQL Database tier. It does not directly establish the test verifies predictable initial response time.

That verification addresses the different requirement: A development database receives traffic twice daily and is idle overnight, with tolerance for wake-up latency. It does not directly establish the test verifies predictable initial response time.

Business Critical does not share the same serverless capability profile. This proposal contradicts the stated architecture constraint.

Auto-pause introduces resume delay incompatible with no-cold-start expectations. In the present requirement, an architect asserts serverless automatic pause is GA for every Azure SQL Database tier. The needed design instead works because serverless compute support and automatic pause support are not identical across tiers.

Always-on provisioned compute can waste idle capacity in this scenario. In the present requirement, an architect asserts serverless automatic pause is GA for every Azure SQL Database tier. The needed design instead works because serverless compute support and automatic pause support are not identical across tiers.

That assessment refers to the separate proposal 'Keep a large provisioned database running continuously despite the idle workload.' not to the recommendation under review. Here, Business Critical does not share the same serverless capability profile.

That assessment refers to the separate proposal 'Enable short auto-pause for a database with strict immediate response requirements.' not to the recommendation under review. Here, Business Critical does not share the same serverless capability profile.

This concern applies to Hardcode the primary database region hostname in every microservice with no failover logic. in another design data storage solutions for relational data design. The current proposal specifically fails because business Critical does not share the same serverless capability profile.

That verification addresses the different requirement: A development database receives traffic twice daily and is idle overnight, with tolerance for wake-up latency. It does not directly establish exact SKU evidence prevents invalid service-tier assumptions.

This is a test for A globally deployed application needs cross-region SQL failover with a stable application endpoint. The requirement here is instead demonstrated by review current tier settings and Microsoft service feature availability.

That verification addresses the different requirement: A customer-facing database requires instant responses and predictable compute at all times. It does not directly establish exact SKU evidence prevents invalid service-tier assumptions.

Tenant databases retain separate data and recovery concerns. In the present requirement, a software vendor hosts 60 small customer databases with staggered peak usage. The needed design instead works because shared pool resources can smooth independent per-database utilization peaks.

Shared resources without governance cannot assure independent maxima. In the present requirement, a software vendor hosts 60 small customer databases with staggered peak usage. The needed design instead works because shared pool resources can smooth independent per-database utilization peaks.

Dedicated maximum capacity per tenant can waste substantial compute. This proposal contradicts the stated architecture constraint.

That assessment refers to the separate proposal 'Remove all limits and promise guaranteed performance to every database.' not to the recommendation under review. Here, Dedicated maximum capacity per tenant can waste substantial compute.

That assessment refers to the separate proposal 'Treat the whole elastic pool as one database requiring one common restore point.' not to the recommendation under review. Here, Dedicated maximum capacity per tenant can waste substantial compute.

This concern applies to Make auditors database owners and rely only on SQL server errors. in another design data storage solutions for relational data design. The current proposal specifically fails because dedicated maximum capacity per tenant can waste substantial compute.