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Inspect TDE state, Azure Key Vault or Managed HSM key permissions, protector version, key availability, rotation policy and restore dependencies. These checks primarily test Transparent data encryption keys and protector lifecycle instead of the critical system behavior in this case. Examine: Inspect encrypted column metadata, column master and encryption keys, driver feature support, enclave attestation where applicable and key store permissions.

Check effective permission using EXECUTE AS, user/database role membership, ownership chain, DENY overrides, T-SQL GRANT statements and precise failed operation. These checks primarily test Least-privilege SQL roles and ownership chaining instead of the critical system behavior in this case. Examine: Inspect encrypted column metadata, column master and encryption keys, driver feature support, enclave attestation where applicable and key store permissions.

Review sign-in error number and state, selected database, Entra token principal, group claims, CREATE USER scope, role membership and firewall reachability. These checks primarily test Diagnosing login failure and group-based access instead of the critical system behavior in this case. Examine: Inspect encrypted column metadata, column master and encryption keys, driver feature support, enclave attestation where applicable and key store permissions.

Review key hierarchy, certificate availability, encrypted payload format, authorized decryption path, T-SQL function usage, rotation and backup procedures. These checks primarily test Object-level encryption and database cryptographic controls instead of the critical system behavior in this case. Examine: Inspect encrypted column metadata, column master and encryption keys, driver feature support, enclave attestation where applicable and key store permissions.

Inspect tenant and server Entra administrator settings, token audience, user mapping, group membership, service principal, role grants and sign-in failures. These checks primarily test Microsoft Entra authentication with contained service identity instead of the critical system behavior in this case. Examine: Inspect encrypted column metadata, column master and encryption keys, driver feature support, enclave attestation where applicable and key store permissions.

Inspect TDE state, Azure Key Vault or Managed HSM key permissions, protector version, key availability, rotation policy and restore dependencies. These checks primarily test Transparent data encryption keys and protector lifecycle instead of the critical system behavior in this case. Examine: Inspect encrypted column metadata, column master and encryption keys, driver feature support, enclave attestation where applicable and key store permissions.

Approved applications can query protected columns with authorized client drivers while other SQL readers cannot obtain original plaintext directly. This would validate Always Encrypted client-side protection and enclaves, but it does not establish the required outcome here. Verify instead: A previously failing user connects with the correct principal and performs only approved operations after a narrowly scoped corrective change.

Low-trust users receive suitably masked results while sensitive storage and access controls still enforce separately tested privacy requirements. This would validate Dynamic data masking classification and permission differences, but it does not establish the required outcome here. Verify instead: A previously failing user connects with the correct principal and performs only approved operations after a narrowly scoped corrective change.

The intended app authenticates through the managed identity or Entra principal without shared SQL passwords and can perform only its permitted queries. This would validate Microsoft Entra authentication with contained service identity, but it does not establish the required outcome here. Verify instead: A previously failing user connects with the correct principal and performs only approved operations after a narrowly scoped corrective change.

Test availability and recovery plans with realistic but controlled primary outages, application write workload, backups and rollback exercises before claiming a recovery objective. This choice pertains to HA DR tabletop and destructive failure testing, not the needed response/evidence pair. Use: Choose Azure SQL failover groups or active geo-replication according to group-level endpoint continuity, supported replication topology, read scale and application reconnect requirements. Check: Inspect replica role, readable secondary capacity, asynchronous replication lag, failover-group listener endpoint, DNS TTL and connection retry handling.

Inspect backup URL, SAS or managed identity support by SQL version, container permissions, encryption/certificate material, backup headers and RESTORE VERIFYONLY caveats. This choice pertains to Backup to Azure Blob URL and tested cloud restore, not the needed response/evidence pair. Use: Choose Azure SQL failover groups or active geo-replication according to group-level endpoint continuity, supported replication topology, read scale and application reconnect requirements. Check: Inspect replica role, readable secondary capacity, asynchronous replication lag, failover-group listener endpoint, DNS TTL and connection retry handling.

A restore to the required historical point completes into a supported database target and data plus dependent identities are validated. This choice pertains to Azure SQL automatic PITR and long-term retention, not the needed response/evidence pair. Use: Choose Azure SQL failover groups or active geo-replication according to group-level endpoint continuity, supported replication topology, read scale and application reconnect requirements. Check: Inspect replica role, readable secondary capacity, asynchronous replication lag, failover-group listener endpoint, DNS TTL and connection retry handling.

The job runs on intended databases with controlled concurrency and job history that identifies any failed or skipped target for remediation. This would validate Azure SQL Database elastic jobs for fleet maintenance, but it does not establish the required outcome here. Verify instead: Scheduled maintenance produces validated database results and on-call teams receive accurate failure notifications with safe recovery playbooks.

A failed deployment is diagnosed without deleting productive data, and the corrected infrastructure remains consistent with reviewed desired state. This would validate Deployment monitoring rollback and drift reconciliation, but it does not establish the required outcome here. Verify instead: Scheduled maintenance produces validated database results and on-call teams receive accurate failure notifications with safe recovery playbooks.

A real job failure triggers one useful notification to the right team and its history records sufficient context for a safe repair or retry. This would validate SQL Agent alerts operators and failure notifications, but it does not establish the required outcome here. Verify instead: Scheduled maintenance produces validated database results and on-call teams receive accurate failure notifications with safe recovery playbooks.

Implement Row-Level Security with a carefully tested predicate function and security policy for each tenant or business boundary, independent of form-level filtering. This choice pertains to Row-level security and ownership predicates, not the needed response/evidence pair. Use: Classify sensitive columns, apply supported Dynamic Data Masking only for presentation control, and use encryption or RLS when stronger confidentiality is required. Check: Inspect sensitivity labels, masking expressions, UNMASK permissions, privileged role membership and direct query behavior across application identities.

Examine audit destinations, retention and access, captured event classes, Change Tracking version retention, CDC capture jobs, ledger digest verification and application expectations. This choice pertains to Azure SQL auditing ledger and change tracking distinctions, not the needed response/evidence pair. Use: Classify sensitive columns, apply supported Dynamic Data Masking only for presentation control, and use encryption or RLS when stronger confidentiality is required. Check: Inspect sensitivity labels, masking expressions, UNMASK permissions, privileged role membership and direct query behavior across application identities.

The intended app authenticates through the managed identity or Entra principal without shared SQL passwords and can perform only its permitted queries. This choice pertains to Microsoft Entra authentication with contained service identity, not the needed response/evidence pair. Use: Classify sensitive columns, apply supported Dynamic Data Masking only for presentation control, and use encryption or RLS when stronger confidentiality is required. Check: Inspect sensitivity labels, masking expressions, UNMASK permissions, privileged role membership and direct query behavior across application identities.

The intended app authenticates through the managed identity or Entra principal without shared SQL passwords and can perform only its permitted queries. This would validate Microsoft Entra authentication with contained service identity, but it does not establish the required outcome here. Verify instead: Each authorized tenant sees only its records through SQL and API queries, while unauthorized predicate bypass attempts return no rows.

Investigators obtain the intended activity or row-change evidence, while tampering or synchronization gaps are detected by the correct feature-specific controls. This would validate Azure SQL auditing ledger and change tracking distinctions, but it does not establish the required outcome here. Verify instead: Each authorized tenant sees only its records through SQL and API queries, while unauthorized predicate bypass attempts return no rows.

Only approved SQL principals or application clients decrypt the intended data and key rotation retains tested recovery capability. This would validate Object-level encryption and database cryptographic controls, but it does not establish the required outcome here. Verify instead: Each authorized tenant sees only its records through SQL and API queries, while unauthorized predicate bypass attempts return no rows.

Select Entra or SQL authentication deliberately for Azure SQL Database, Managed Instance and SQL Server VMs based on platform support, application constraints and security controls. This addresses SQL authentication versus Entra and managed-instance principals, not the controlling requirement here. A login defined in one SQL Server instance is not automatically a contained user in another database or a globally valid Entra identity. Prefer: Distinguish authentication from authorization using SQL error context, Entra membership and database principal mapping before changing firewall or granting elevated roles.

Design Azure SQL firewall policies and Private Link or approved service endpoints at the required scope, enforcing TLS and minimizing public endpoint exposure. This addresses Azure SQL private endpoints firewall and TLS boundary, not the controlling requirement here. A Private Endpoint does not provide correct DNS records automatically in every custom network; name resolution and access policy require separate verification. Prefer: Distinguish authentication from authorization using SQL error context, Entra membership and database principal mapping before changing firewall or granting elevated roles.

Implement Row-Level Security with a carefully tested predicate function and security policy for each tenant or business boundary, independent of form-level filtering. This addresses Row-level security and ownership predicates, not the controlling requirement here. Client-side WHERE filters are not a database security boundary, and incorrectly scoped predicates can leak cross-tenant data. Prefer: Distinguish authentication from authorization using SQL error context, Entra membership and database principal mapping before changing firewall or granting elevated roles.

The intended app authenticates through the managed identity or Entra principal without shared SQL passwords and can perform only its permitted queries. This would validate Microsoft Entra authentication with contained service identity, but it does not establish the required outcome here. Verify instead: A previously failing user connects with the correct principal and performs only approved operations after a narrowly scoped corrective change.

Low-trust users receive suitably masked results while sensitive storage and access controls still enforce separately tested privacy requirements. This would validate Dynamic data masking classification and permission differences, but it does not establish the required outcome here. Verify instead: A previously failing user connects with the correct principal and performs only approved operations after a narrowly scoped corrective change.

Authorized workloads resolve the intended endpoint and connect over the required private or permitted path while unauthorized public sources are blocked. This would validate Azure SQL private endpoints firewall and TLS boundary, but it does not establish the required outcome here. Verify instead: A previously failing user connects with the correct principal and performs only approved operations after a narrowly scoped corrective change.

A representative mix of small and large parameter executions achieves stable resource use, with intelligent feature effects monitored over time. This choice pertains to Intelligent Insights and parameter-sensitive query analysis, not the needed response/evidence pair. Use: Use Extended Events sessions to capture targeted SQL events and wait/blocking evidence with bounded collection and a safe target rather than enabling excessive full-query traces in production. Check: Inspect event session predicates, event fields, ring buffer or event file targets, dropped events, blocked process reports and collection overhead.

Inspect scans/seeks, key lookup counts, implicit conversions, estimated-versus-actual rows, missing-index recommendations and write amplification. This choice pertains to Execution plans cardinality and indexing improvements, not the needed response/evidence pair. Use: Use Extended Events sessions to capture targeted SQL events and wait/blocking evidence with bounded collection and a safe target rather than enabling excessive full-query traces in production. Check: Inspect event session predicates, event fields, ring buffer or event file targets, dropped events, blocked process reports and collection overhead.

Distinguish compute, data IO, log IO, memory and blocking contention using correlated counters, wait types and workload-specific thresholds before changing resources. This choice pertains to SQL operational baseline across waits locks and storage, not the needed response/evidence pair. Use: Use Extended Events sessions to capture targeted SQL events and wait/blocking evidence with bounded collection and a safe target rather than enabling excessive full-query traces in production. Check: Inspect event session predicates, event fields, ring buffer or event file targets, dropped events, blocked process reports and collection overhead.

Inspect sensitivity labels, masking expressions, UNMASK permissions, privileged role membership and direct query behavior across application identities. These checks primarily test Dynamic data masking classification and permission differences instead of the critical system behavior in this case. Examine: Inspect tenant and server Entra administrator settings, token audience, user mapping, group membership, service principal, role grants and sign-in failures.

Inspect login/user mapping, server principals, password policy, Entra admin configuration, directory identity, database containment and connection string authentication mode. These checks primarily test SQL authentication versus Entra and managed-instance principals instead of the critical system behavior in this case. Examine: Inspect tenant and server Entra administrator settings, token audience, user mapping, group membership, service principal, role grants and sign-in failures.

Inspect SESSION_CONTEXT usage, predicate function logic, policy state, object permissions, execution plans and cross-tenant test accounts. These checks primarily test Row-level security and ownership predicates instead of the critical system behavior in this case. Examine: Inspect tenant and server Entra administrator settings, token audience, user mapping, group membership, service principal, role grants and sign-in failures.