A would instead validate the other design where a large relational catalog database must keep increasing its storage without a lengthy traditional resize. That evidence is consistent with design the Azure SQL Database deployment using Hyperscale, because hyperscale separates storage scaling from a conventional single-node database size ceiling. It does not demonstrate that the target case achieves pooled compute utilization stays within the planned limits during tenant peak rotations.

C would instead validate the other design where a trading platform requires low database IO latency and fast local storage for its transactional workload. That evidence is consistent with use the Azure SQL Database Business Critical service tier, because business Critical uses local SSD-based architecture optimized for demanding IO. It does not demonstrate that the target case achieves pooled compute utilization stays within the planned limits during tenant peak rotations.

D would instead validate the other design where a PostgreSQL reporting service must offload read-heavy requests from its transactional primary. That evidence is consistent with add supported PostgreSQL Flexible Server read replicas, because read replicas direct suitable read-only traffic away from the primary. It does not demonstrate that the target case achieves pooled compute utilization stays within the planned limits during tenant peak rotations.

“Design active geo-replication with readable secondaries as supported” relies on this Azure capability: geo-secondaries provide asynchronous regional read targets and a recovery path. This workload involves A large relational catalog database must keep increasing its storage without a lengthy traditional resize. The decisive Azure design mechanism is: hyperscale separates storage scaling from a conventional single-node database size ceiling. Thus “Design the Azure SQL Database deployment using Hyperscale” is the applicable architecture choice.

“Add supported PostgreSQL Flexible Server read replicas” relies on this Azure capability: read replicas direct suitable read-only traffic away from the primary. This workload involves A large relational catalog database must keep increasing its storage without a lengthy traditional resize. The decisive Azure design mechanism is: hyperscale separates storage scaling from a conventional single-node database size ceiling. Thus “Design the Azure SQL Database deployment using Hyperscale” is the applicable architecture choice.

“Choose Azure SQL Managed Instance after verifying feature compatibility” relies on this Azure capability: managed Instance offers broad SQL Server instance compatibility under a managed platform. This workload involves A large relational catalog database must keep increasing its storage without a lengthy traditional resize. The decisive Azure design mechanism is: hyperscale separates storage scaling from a conventional single-node database size ceiling. Thus “Design the Azure SQL Database deployment using Hyperscale” is the applicable architecture choice.

A would instead validate the other design where a globally distributed read-only reporting audience needs copies of an Azure SQL database in other regions. That evidence is consistent with design active geo-replication with readable secondaries as supported, because geo-secondaries provide asynchronous regional read targets and a recovery path. It does not demonstrate that the target case achieves additional data is stored without a large scheduled manual database migration.

B would instead validate the other design where a PostgreSQL reporting service must offload read-heavy requests from its transactional primary. That evidence is consistent with add supported PostgreSQL Flexible Server read replicas, because read replicas direct suitable read-only traffic away from the primary. It does not demonstrate that the target case achieves additional data is stored without a large scheduled manual database migration.

C would instead validate the other design where an insurer must migrate an existing SQL Server application that depends on instance-scoped features with minimal database rewrites. That evidence is consistent with choose Azure SQL Managed Instance after verifying feature compatibility, because managed Instance offers broad SQL Server instance compatibility under a managed platform. It does not demonstrate that the target case achieves additional data is stored without a large scheduled manual database migration.

“Introduce application-aware horizontal sharding across database partitions” relies on this Azure capability: independent database shards distribute write and storage load by routing key. This workload involves An enterprise architecture assessment records: A PostgreSQL reporting service must offload read-heavy requests from its transactional primary. The decisive Azure design mechanism is: read replicas direct suitable read-only traffic away from the primary. Thus “Add supported PostgreSQL Flexible Server read replicas” is the applicable architecture choice.

“Design active geo-replication with readable secondaries as supported” relies on this Azure capability: geo-secondaries provide asynchronous regional read targets and a recovery path. This workload involves An enterprise architecture assessment records: A PostgreSQL reporting service must offload read-heavy requests from its transactional primary. The decisive Azure design mechanism is: read replicas direct suitable read-only traffic away from the primary. Thus “Add supported PostgreSQL Flexible Server read replicas” is the applicable architecture choice.

“Keep transparent data encryption enabled for the database” relies on this Azure capability: tDE encrypts supported SQL data at rest without application changes. This workload involves An enterprise architecture assessment records: A PostgreSQL reporting service must offload read-heavy requests from its transactional primary. The decisive Azure design mechanism is: read replicas direct suitable read-only traffic away from the primary. Thus “Add supported PostgreSQL Flexible Server read replicas” is the applicable architecture choice.

A would instead validate the other design where a globally distributed read-only reporting audience needs copies of an Azure SQL database in other regions. That evidence is consistent with design active geo-replication with readable secondaries as supported, because geo-secondaries provide asynchronous regional read targets and a recovery path. It does not demonstrate that the target case achieves reporting traffic lands on replicas while writes continue on the primary.

C would instead validate the other design where a multitenant application exceeds practical scale of one relational write partition. That evidence is consistent with introduce application-aware horizontal sharding across database partitions, because independent database shards distribute write and storage load by routing key. It does not demonstrate that the target case achieves reporting traffic lands on replicas while writes continue on the primary.

D would instead validate the other design where a regulated Azure SQL deployment must encrypt stored database files and backups with platform-managed keys. That evidence is consistent with keep transparent data encryption enabled for the database, because tDE encrypts supported SQL data at rest without application changes. It does not demonstrate that the target case achieves reporting traffic lands on replicas while writes continue on the primary.

“Introduce application-aware horizontal sharding across database partitions” relies on this Azure capability: independent database shards distribute write and storage load by routing key. This workload involves A cloud migration design must satisfy the following: A globally distributed read-only reporting audience needs copies of an Azure SQL database in other regions. The decisive Azure design mechanism is: geo-secondaries provide asynchronous regional read targets and a recovery path. Thus “Design active geo-replication with readable secondaries as supported” is the applicable architecture choice.

“Select Azure Database for MySQL Flexible Server” relies on this Azure capability: a managed MySQL service preserves its query interface and offers configurable availability options. This workload involves A cloud migration design must satisfy the following: A globally distributed read-only reporting audience needs copies of an Azure SQL database in other regions. The decisive Azure design mechanism is: geo-secondaries provide asynchronous regional read targets and a recovery path. Thus “Design active geo-replication with readable secondaries as supported” is the applicable architecture choice.

“Use an Azure SQL Database elastic pool for eligible tenant databases” relies on this Azure capability: pooling shares a provisioned compute budget among databases with staggered demand. This workload involves A cloud migration design must satisfy the following: A globally distributed read-only reporting audience needs copies of an Azure SQL database in other regions. The decisive Azure design mechanism is: geo-secondaries provide asynchronous regional read targets and a recovery path. Thus “Design active geo-replication with readable secondaries as supported” is the applicable architecture choice.

A would instead validate the other design where a SaaS vendor has hundreds of small Azure SQL databases with alternating peak usage. That evidence is consistent with use an Azure SQL Database elastic pool for eligible tenant databases, because pooling shares a provisioned compute budget among databases with staggered demand. It does not demonstrate that the target case achieves remote reports connect to a secondary and show acceptable replication lag.

B would instead validate the other design where a retail SaaS application uses native MySQL queries and requires managed high availability. That evidence is consistent with select Azure Database for MySQL Flexible Server, because a managed MySQL service preserves its query interface and offers configurable availability options. It does not demonstrate that the target case achieves remote reports connect to a secondary and show acceptable replication lag.

C would instead validate the other design where a multitenant application exceeds practical scale of one relational write partition. That evidence is consistent with introduce application-aware horizontal sharding across database partitions, because independent database shards distribute write and storage load by routing key. It does not demonstrate that the target case achieves remote reports connect to a secondary and show acceptable replication lag.

“Design the Azure SQL Database deployment using Hyperscale” relies on this Azure capability: hyperscale separates storage scaling from a conventional single-node database size ceiling. This workload involves A multitenant application exceeds practical scale of one relational write partition. The decisive Azure design mechanism is: independent database shards distribute write and storage load by routing key. Thus “Introduce application-aware horizontal sharding across database partitions” is the applicable architecture choice.

“Use an Azure SQL Database elastic pool for eligible tenant databases” relies on this Azure capability: pooling shares a provisioned compute budget among databases with staggered demand. This workload involves A multitenant application exceeds practical scale of one relational write partition. The decisive Azure design mechanism is: independent database shards distribute write and storage load by routing key. Thus “Introduce application-aware horizontal sharding across database partitions” is the applicable architecture choice.

“Configure transparent data encryption with a customer-managed key held in an approved Key Vault or managed HSM integration” relies on this Azure capability: a customer-managed protector brings key access and rotation under company governance. This workload involves A multitenant application exceeds practical scale of one relational write partition. The decisive Azure design mechanism is: independent database shards distribute write and storage load by routing key. Thus “Introduce application-aware horizontal sharding across database partitions” is the applicable architecture choice.

A would instead validate the other design where a SaaS vendor has hundreds of small Azure SQL databases with alternating peak usage. That evidence is consistent with use an Azure SQL Database elastic pool for eligible tenant databases, because pooling shares a provisioned compute budget among databases with staggered demand. It does not demonstrate that the target case achieves tenant operations route to the intended shard without cross-shard write contention.

C would instead validate the other design where a company must control its own key lifecycle for Azure SQL at-rest encryption. That evidence is consistent with configure transparent data encryption with a customer-managed key held in an approved Key Vault or managed HSM integration, because a customer-managed protector brings key access and rotation under company governance. It does not demonstrate that the target case achieves tenant operations route to the intended shard without cross-shard write contention.

D would instead validate the other design where a large relational catalog database must keep increasing its storage without a lengthy traditional resize. That evidence is consistent with design the Azure SQL Database deployment using Hyperscale, because hyperscale separates storage scaling from a conventional single-node database size ceiling. It does not demonstrate that the target case achieves tenant operations route to the intended shard without cross-shard write contention.

“Use the Azure SQL Database Hyperscale service tier” relies on this Azure capability: hyperscale architecture supports rapid data growth and independently scaled components. This workload involves An Azure solution needs to solve the following challenge: A regulated Azure SQL deployment must encrypt stored database files and backups with platform-managed keys. The decisive Azure design mechanism is: tDE encrypts supported SQL data at rest without application changes. Thus “Keep transparent data encryption enabled for the database” is the applicable architecture choice.

“Configure Azure SQL auditing to the approved audit destination” relies on this Azure capability: auditing captures configured database events for investigation and accountability. This workload involves An Azure solution needs to solve the following challenge: A regulated Azure SQL deployment must encrypt stored database files and backups with platform-managed keys. The decisive Azure design mechanism is: tDE encrypts supported SQL data at rest without application changes. Thus “Keep transparent data encryption enabled for the database” is the applicable architecture choice.

“Use Azure SQL Always Encrypted for the sensitive columns” relies on this Azure capability: always Encrypted protects client-side encrypted data from the SQL engine. This workload involves An Azure solution needs to solve the following challenge: A regulated Azure SQL deployment must encrypt stored database files and backups with platform-managed keys. The decisive Azure design mechanism is: tDE encrypts supported SQL data at rest without application changes. Thus “Keep transparent data encryption enabled for the database” is the applicable architecture choice.

A would instead validate the other design where an audit team requires a record of key SQL database activity for later investigation. That evidence is consistent with configure Azure SQL auditing to the approved audit destination, because auditing captures configured database events for investigation and accountability. It does not demonstrate that the target case achieves at-rest encryption status is enabled while queries continue normally.

B would instead validate the other design where a document-management database is expected to grow far beyond traditional single-database storage limits. That evidence is consistent with use the Azure SQL Database Hyperscale service tier, because hyperscale architecture supports rapid data growth and independently scaled components. It does not demonstrate that the target case achieves at-rest encryption status is enabled while queries continue normally.

C would instead validate the other design where a medical app must keep selected columns encrypted even from administrators who control the SQL server. That evidence is consistent with use Azure SQL Always Encrypted for the sensitive columns, because always Encrypted protects client-side encrypted data from the SQL engine. It does not demonstrate that the target case achieves at-rest encryption status is enabled while queries continue normally.