links

Author: Kat-Campise

articles/synapse-analytics/spark/apache-spark-job-definitions.md

@@ -171,4 +171,4 @@ After creating a Spark job definition, you can submit it to a Synapse Spark pool
 This tutorial demonstrated how to use the Azure Synapse Analytics to create Spark job definitions, and then submit them to a Synapse Spark pool. Next you can use Azure Synapse Analytics to create Power BI datasets and manage Power BI data. 
 
 - [Connect to data in Power BI Desktop](https://docs.microsoft.com/power-bi/desktop-quickstart-connect-to-data)
-- [Visualize with Power BI](../sql-data-warehouse/sql-data-warehouse-get-started-visualize-with-power-bi)
+- [Visualize with Power BI](/sql-data-warehouse/sql-data-warehouse-get-started-visualize-with-power-bi)

articles/synapse-analytics/sql/reference-tsql-system-views.md

@@ -244,4 +244,6 @@ The following DMVs are applicable to SQL pool, but must be executed by connectin
 
 ## Next steps
 
-For more reference information, see [T-SQL statements in Synapse SQL](../sql-data-warehouse/sql-data-warehouse-reference-tsql-language-elements), and [T-SQL language elements in Synapse SQL](../sql-data-warehouse/sql-data-warehouse-reference-tsql-statements).
+For more reference information, see [T-SQL statements in Synapse SQL](/sql-data-warehouse/sql-data-warehouse-reference-tsql-language-elements), and [T-SQL language elements in Synapse SQL](/sql-data-warehouse/sql-data-warehouse-reference-tsql-statements).
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