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Co-authored-by: William Assaf MSFT <[email protected]>

Author: LitKnd

articles/azure-sql/identify-query-performance-issues.md

@@ -38,9 +38,10 @@ A suboptimal plan generated by the SQL Query Optimizer may be the cause of slow
 - Identify any missing indexes using one of these methods:
 
   - Use [Intelligent Insights](database/intelligent-insights-troubleshoot-performance.md#missing-index).
-  - [Database Advisor](database/database-advisor-implement-performance-recommendations.md) for single and pooled databases in Azure SQL Database. You may also choose to enable [automatic tuning options for tuning indexes](database/automatic-tuning-overview.md#automatic-tuning-options) for Azure SQL Database.
+  - Review recommendations in the [Database Advisor](database/database-advisor-implement-performance-recommendations.md) for single and pooled databases in Azure SQL Database. You may also choose to enable [automatic tuning options for tuning indexes](database/automatic-tuning-overview.md#automatic-tuning-options) for Azure SQL Database.
   - Missing indexes in DMVs and query execution plans. This article shows you how to [detect and tune nonclustered indexes using missing index requests](/sql/relational-databases/indexes/tune-nonclustered-missing-index-suggestions).
-- Try to apply [query hints](/sql/t-sql/queries/hints-transact-sql-query), [update statistics](/sql/t-sql/statements/update-statistics-transact-sql), or [rebuild indexes](/sql/relational-databases/indexes/reorganize-and-rebuild-indexes) to get the better plan. Enable [automatic plan correction](../azure-sql/database/automatic-tuning-overview.md) in Azure SQL Database or Azure SQL Managed Instance to automatically mitigate these problems.
+- Try to [update statistics](/sql/t-sql/statements/update-statistics-transact-sql) or [rebuild indexes](/sql/relational-databases/indexes/reorganize-and-rebuild-indexes) to get the better plan. Enable [automatic plan correction](../azure-sql/database/automatic-tuning-overview.md) in Azure SQL Database or Azure SQL Managed Instance to automatically mitigate these problems.
+- As an advanced troubleshooting step, use [Query Store hints](/sql/relational-databases/performance/query-store-hints) to apply [query hints](/sql/t-sql/queries/hints-transact-sql-query) using the Query Store, without making code changes.
 
   This [example](database/performance-guidance.md#query-tuning-and-hinting) shows the impact of a suboptimal query plan due to a parameterized query, how to detect this condition, and how to use a query hint to resolve.
 
@@ -190,7 +191,7 @@ Once you have eliminated a suboptimal plan and *Waiting-related* problems that a
   Queries might be waiting for the pages to be written to the data or log files. In this case, check the `INSTANCE_LOG_RATE_GOVERNOR`, `WRITE_LOG`, or `PAGEIOLATCH_*` wait statistics in the DMV. See using DMVs to [identify IO performance issues](database/monitoring-with-dmvs.md#identify-io-performance-issues).
 - **Tempdb problems**
 
-  If the workload uses temporary tables or there are tempdb spills in the plans, the queries might have a problem with tempdb throughput. See using DMVs to [identity tempdb issues](database/monitoring-with-dmvs.md#identify-tempdb-performance-issues).
+  If the workload uses temporary tables or there are `tempdb` spills in the plans, the queries might have a problem with `tempdb` throughput. To investigate further, review [identify tempdb issues](database/monitoring-with-dmvs.md#identify-tempdb-performance-issues).
 - **Memory-related problems**
 
   If the workload doesn't have enough memory, the page life expectancy might drop, or the queries might get less memory than they need. In some cases, built-in intelligence in Query Optimizer will fix memory-related problems. See using DMVs to [identify memory grant issues](database/monitoring-with-dmvs.md#identify-memory-grant-wait-performance-issues). For more information and sample queries, see [Troubleshoot out of memory errors with Azure SQL Database](database/troubleshoot-memory-errors-issues.md).