Fixed typo per acrolinx scorecard

Author: v-shils

articles/postgresql/concepts-monitoring.md

@@ -43,7 +43,7 @@ You can enable logging on your server. These logs are also available through Azu
 [Query Store](concepts-query-store.md) keeps track of query performance over time including query runtime statistics and wait events. The feature persists query runtime performance information in a system database named **azure_sys** under the query_store schema. You can control the collection and storage of data via various configuration knobs.
 
 ## Query Performance Insight
-[Query Performance Insight](concepts-query-performance-insight.md) works in conjunction with Query Store to provide visualizations accessible from the Azure portal. These charts enable you to identify key queries that impact performance. Query Performance Insightis accessible from the **Support + troubleshooting** section of your Azure Database for PostgreSQL server's portal page.
+[Query Performance Insight](concepts-query-performance-insight.md) works in conjunction with Query Store to provide visualizations accessible from the Azure portal. These charts enable you to identify key queries that impact performance. Query Performance Insight is accessible from the **Support + troubleshooting** section of your Azure Database for PostgreSQL server's portal page.
 
 ## Performance Recommendations
 The [Performance Recommendations](concepts-performance-recommendations.md) feature identifies opportunities to improve workload performance. Performance Recommendations provides you with recommendations for creating new indexes that have the potential to improve the performance of your workloads. To produce index recommendations, the feature takes into consideration various database characteristics, including its schema and the workload as reported by Query Store. After implementing any performance recommendation, customers should test performance to evaluate the impact of those changes.