An API gateway or runtime must enforce caller scopes before returning protected records. Although relevant to a public GraphQL API exposes a customer search field and anonymous callers can request private account details, this action would not correct the recorded production failure: rotating a shared hard-coded password across many services is fragile. Use the target remedy instead.

Always Encrypted can keep protected plaintext outside the server engine and untrusted administrators. Although relevant to an application stores regulated account numbers in Azure SQL and database operators must not view plaintext values, this action would not correct the recorded production failure: rotating a shared hard-coded password across many services is fragile. Use the target remedy instead.

Masking changes displayed results for some principals without encrypting the stored column. Although relevant to a support query shows masked credit-card suffixes, and an architect claims this means the actual values are cryptographically encrypted, this action would not correct the recorded production failure: rotating a shared hard-coded password across many services is fragile. Use the target remedy instead.

Always Encrypted can keep protected plaintext outside the server engine and untrusted administrators. That method solves a different requirement: an application stores regulated account numbers in Azure SQL and database operators must not view plaintext values. The current case instead requires require caller authentication and field or entity authorization on the API backend.

Database auditing captures configured security-relevant actions for accountable review. That method solves a different requirement: auditors require a durable history of who executed privileged database changes over a defined time window. The current case instead requires require caller authentication and field or entity authorization on the API backend.

Passwordless token authentication removes stored application passwords and supports identity governance. That method solves a different requirement: a cloud-hosted app must connect to Azure SQL without keeping a long-lived SQL password in its deployment settings. The current case instead requires require caller authentication and field or entity authorization on the API backend.

Masking changes displayed results for some principals without encrypting the stored column. That principle is applicable when a support query shows masked credit-card suffixes, and an architect claims this means the actual values are cryptographically encrypted. It does not explain the selected change in the current case, which depends on an API gateway or runtime must enforce caller scopes before returning protected records.

Dynamic Data Masking changes result presentation for unprivileged users but is not a cryptographic barrier. That principle is applicable when a help-desk role may query a customer table but should see only the final four digits of a sensitive identifier. It does not explain the selected change in the current case, which depends on an API gateway or runtime must enforce caller scopes before returning protected records.

Storage-at-rest encryption and client-side column protection address different trust boundaries. That principle is applicable when a customer database encrypts disks but a privileged DBA can still query unmasked national identity numbers. It does not explain the selected change in the current case, which depends on an API gateway or runtime must enforce caller scopes before returning protected records.

Cross-tenant INSERT attempts fail while allowed rows are inserted. That observation would validate a different requirement: a tenant administrator can SELECT their own invoices but must also be blocked from INSERTing rows with another tenant identifier. Here the required evidence is anonymous or unauthorized field queries fail with no sensitive data.

A token-authenticated deployment runs and credentials are absent from config files. That observation would validate a different requirement: a deployment pipeline currently rotates SQL passwords manually and frequently breaks application access. Here the required evidence is anonymous or unauthorized field queries fail with no sensitive data.

Cross-tenant SELECT and DML tests cannot access or mutate unauthorized rows. That observation would validate a different requirement: a SaaS database uses one Orders table for all tenants and each session must only see its authorized tenant rows. Here the required evidence is anonymous or unauthorized field queries fail with no sensitive data.

RLS filters or blocks table rows using security predicates enforced by the database engine. Although relevant to a SaaS database uses one Orders table for all tenants and each session must only see its authorized tenant rows, this action would not correct the recorded production failure: an obscure endpoint URL is not an access-control mechanism. Use the target remedy instead.

Identity-based authorization permits scoped service calls without checked-in secrets. Although relevant to an Azure workload calls an approved external AI model endpoint and may not expose a static API key in source control, this action would not correct the recorded production failure: an obscure endpoint URL is not an access-control mechanism. Use the target remedy instead.

Always Encrypted can keep protected plaintext outside the server engine and untrusted administrators. Although relevant to an application stores regulated account numbers in Azure SQL and database operators must not view plaintext values, this action would not correct the recorded production failure: an obscure endpoint URL is not an access-control mechanism. Use the target remedy instead.

Plans and runtime views isolate query-level regressions rather than generic infrastructure symptoms. That method solves a different requirement: a regression begins after a stored procedure was deployed, and DBAs need exact queries causing CPU spikes. The current case instead requires measure workload-specific I/O bottlenecks and choose capacity or workload scheduling changes.

Query Store persists plan and runtime history to connect regressions with changed access paths. That method solves a different requirement: a query becomes slow after a new index rollout and DBAs must compare actual plan regressions across time. The current case instead requires measure workload-specific I/O bottlenecks and choose capacity or workload scheduling changes.

Deadlocks arise from cyclic lock waits; consistent ordering reduces the cycle risk. That method solves a different requirement: two concurrent procedures acquire customer and invoice locks in opposite orders, producing deadlock victims. The current case instead requires measure workload-specific I/O bottlenecks and choose capacity or workload scheduling changes.

Versioned reads can reduce reader-writer blocking with defined isolation semantics. That principle is applicable when an inventory system must allow consistent snapshot reads while concurrent writes proceed without taking broad shared read locks. It does not explain the selected change in the current case, which depends on tier sizing and scheduling should address observed I/O contention rather than arbitrary CPU scaling.

Plans and runtime views isolate query-level regressions rather than generic infrastructure symptoms. That principle is applicable when a regression begins after a stored procedure was deployed, and DBAs need exact queries causing CPU spikes. It does not explain the selected change in the current case, which depends on tier sizing and scheduling should address observed I/O contention rather than arbitrary CPU scaling.

Query Store persists plan and runtime history to connect regressions with changed access paths. That principle is applicable when a query becomes slow after a new index rollout and DBAs must compare actual plan regressions across time. It does not explain the selected change in the current case, which depends on tier sizing and scheduling should address observed I/O contention rather than arbitrary CPU scaling.

The second conflicting update fails or retries instead of silently overwriting a committed value. That observation would validate a different requirement: two sessions update the same inventory item and the application sometimes overwrites one user's confirmed change. Here the required evidence is import and user workload both meet latency targets in the new arrangement.

A concurrency replay no longer produces the same deadlock cycle. That observation would validate a different requirement: two concurrent procedures acquire customer and invoice locks in opposite orders, producing deadlock victims. Here the required evidence is import and user workload both meet latency targets in the new arrangement.

A long-running report sees a consistent allowed view without blocking ordinary updates. That observation would validate a different requirement: an inventory system must allow consistent snapshot reads while concurrent writes proceed without taking broad shared read locks. Here the required evidence is import and user workload both meet latency targets in the new arrangement.

Plans and runtime views isolate query-level regressions rather than generic infrastructure symptoms. Although relevant to a regression begins after a stored procedure was deployed, and DBAs need exact queries causing CPU spikes, this action would not correct the recorded production failure: blindly adding CPU may not improve storage wait bottlenecks. Use the target remedy instead.

Query Store persists plan and runtime history to connect regressions with changed access paths. Although relevant to a query becomes slow after a new index rollout and DBAs must compare actual plan regressions across time, this action would not correct the recorded production failure: blindly adding CPU may not improve storage wait bottlenecks. Use the target remedy instead.

Concurrency control prevents lost updates or detects conflicting writes explicitly. Although relevant to two sessions update the same inventory item and the application sometimes overwrites one user's confirmed change, this action would not correct the recorded production failure: blindly adding CPU may not improve storage wait bottlenecks. Use the target remedy instead.

Deadlocks arise from cyclic lock waits; consistent ordering reduces the cycle risk. That method solves a different requirement: two concurrent procedures acquire customer and invoice locks in opposite orders, producing deadlock victims. The current case instead requires evaluate row-versioning isolation such as SNAPSHOT or READ COMMITTED SNAPSHOT for the workload.

Sizing decisions should reflect observed throughput, memory, I/O and concurrency limits. That method solves a different requirement: a database experiences bursts of CPU saturation and the team needs a capacity change based on measured workload rather than a blind upgrade. The current case instead requires evaluate row-versioning isolation such as SNAPSHOT or READ COMMITTED SNAPSHOT for the workload.

Tier sizing and scheduling should address observed I/O contention rather than arbitrary CPU scaling. That method solves a different requirement: a transactional SQL database performs well at noon but breaches response-time SLO during nightly imports due to I/O pressure. The current case instead requires evaluate row-versioning isolation such as SNAPSHOT or READ COMMITTED SNAPSHOT for the workload.

Query Store persists plan and runtime history to connect regressions with changed access paths. That principle is applicable when a query becomes slow after a new index rollout and DBAs must compare actual plan regressions across time. It does not explain the selected change in the current case, which depends on versioned reads can reduce reader-writer blocking with defined isolation semantics.

Plans and runtime views isolate query-level regressions rather than generic infrastructure symptoms. That principle is applicable when a regression begins after a stored procedure was deployed, and DBAs need exact queries causing CPU spikes. It does not explain the selected change in the current case, which depends on versioned reads can reduce reader-writer blocking with defined isolation semantics.

Deadlocks arise from cyclic lock waits; consistent ordering reduces the cycle risk. That principle is applicable when two concurrent procedures acquire customer and invoice locks in opposite orders, producing deadlock victims. It does not explain the selected change in the current case, which depends on versioned reads can reduce reader-writer blocking with defined isolation semantics.