Merge pull request #286990 from Albertyang0/2024_09-Monthly-broken-links-fix-WilliamDAssafMSFT

2024_09 - Fix monthly broken links - WilliamDAssafMSFT

Author: prmerger-automator[bot]

articles/synapse-analytics/whats-new-archive.md

@@ -58,7 +58,7 @@ This section is an archive of features and capabilities of [Apache Spark for Azu
 | April 2022 | **Apache Spark notebook snapshot** | You can access a snapshot of the Notebook when there's a Pipeline Notebook run failure or when there's a long-running Notebook job. To learn more, read [Transform data by running a Synapse notebook](synapse-notebook-activity.md?tabs=classical#see-notebook-activity-run-history) and [Introduction to Microsoft Spark utilities](./spark/microsoft-spark-utilities.md?pivots=programming-language-scala#reference-a-notebook-1). |
 | March 2022 | **Synapse Spark Common Data Model (CDM) connector** | The CDM format reader/writer enables a Spark program to read and write CDM entities in a CDM folder via Spark dataframes. To learn more, see [how the CDM connector supports reading, writing data, examples, & known issues](./spark/data-sources/apache-spark-cdm-connector.md). |
 | March 2022 | **Performance optimization for Synapse Spark dedicated SQL pool connector** | New improvements to the [Azure Synapse Dedicated SQL Pool Connector for Apache Spark](spark/synapse-spark-sql-pool-import-export.md) reduce data movement and leverage `COPY INTO`. Performance tests indicated at least ~5x improvement over the previous version. No action is required from the user to leverage these enhancements. For more information, see [Blog: Synapse Spark Dedicated SQL Pool (DW) Connector: Performance Improvements](https://techcommunity.microsoft.com/t5/azure-synapse-analytics-blog/azure-synapse-analytics-march-update-2022/ba-p/3269194#TOCREF_10).|
-| March 2022 | **Support for all Spark Dataframe SaveMode choices** | The [Azure Synapse Dedicated SQL Pool Connector for Apache Spark](spark/synapse-spark-sql-pool-import-export.md) now supports all four Spark Dataframe SaveMode choices: Append, Overwrite, ErrorIfExists, Ignore. For more information on Spark SaveMode, read the [official Apache Spark documentation](https://spark.apache.org/docs/1.6.0/api/java/org/apache/spark/sql/SaveMode.html?wt.mc_id=azsynapseblog_mar2022_blog_azureeng). |
+| March 2022 | **Support for all Spark Dataframe SaveMode choices** | The [Azure Synapse Dedicated SQL Pool Connector for Apache Spark](spark/synapse-spark-sql-pool-import-export.md) now supports all four Spark Dataframe SaveMode choices: Append, Overwrite, ErrorIfExists, Ignore. For more information on Spark SaveMode, read the [official Apache Spark documentation](https://archive.apache.org/dist/spark/docs/1.6.0/api/java/org/apache/spark/sql/SaveMode.html?wt.mc_id=azsynapseblog_mar2022_blog_azureeng). |
 | March 2022 | **Apache Spark in Azure Synapse Analytics Intelligent Cache feature** | Intelligent Cache for Spark automatically stores each read within the allocated cache storage space, detecting underlying file changes and refreshing the files to provide the most recent data. To learn more on this preview feature, see how to [Enable/Disable the cache for your Apache Spark pool](./spark/apache-spark-intelligent-cache-concept.md) or see the [blog post](https://techcommunity.microsoft.com/t5/azure-synapse-analytics-blog/azure-synapse-analytics-march-update-2022/ba-p/3269194#TOCREF_12).|
 
 ## Data integration