Update apache-spark-performance.md

Author: santhoshravindran7

articles/synapse-analytics/spark/apache-spark-performance.md

@@ -58,7 +58,7 @@ Spark operates by placing data in memory, so managing memory resources is a key
 
 * Prefer smaller data partitions and account for data size, types, and distribution in your partitioning strategy.
 * In Synapse Spark (Runtime 3.1 or higher) you get Kryo data serialization enabled by default [Kryo data serialization](https://github.com/EsotericSoftware/kryo).
-* You can customize the kryoserializer buffer size based on your requirements using
+* You can customize the kryoserializer buffer size using Spark configuration based on your workload requirements
 `// Set the desired property`
 `spark.conf.set("spark.kryoserializer.buffer.max", "256m") `
 * Monitor and tune Spark configuration settings.