Merge pull request #79842 from markpjohnson/patch-1

Updating HDInsight article title to "Manually scale Azure HDInsight clusters"

Author: ktoliver

articles/hdinsight/hdinsight-scaling-best-practices.md

@@ -1,14 +1,14 @@
 ---
-title: Scale cluster sizes - Azure HDInsight
-description: Scale an Apache Hadoop cluster elastically to match your workload in Azure HDInsight
+title: Manually scale a cluster - Azure HDInsight
+description: Manually scale an Apache Hadoop cluster elastically to match your workload in Azure HDInsight
 ms.author: ashish
 ms.service: hdinsight
 ms.topic: how-to
 ms.custom: seoapr2020
 ms.date: 04/29/2020
 ---
 
-# Scale Azure HDInsight clusters
+# Manually scale Azure HDInsight clusters
 
 HDInsight provides elasticity with options to scale up and scale down the number of worker nodes in your clusters. This elasticity allows you to shrink a cluster after hours or on weekends. And expand it during peak business demands.
 
@@ -268,4 +268,4 @@ Region servers are automatically balanced within a few minutes after completing
 For specific information on scaling your HDInsight cluster, see:
 
 * [Manage Apache Hadoop clusters in HDInsight by using the Azure portal](hdinsight-administer-use-portal-linux.md#scale-clusters)
-* [Manage Apache Hadoop clusters in HDInsight by using Azure CLI](hdinsight-administer-use-command-line.md#scale-clusters)
+* [Manage Apache Hadoop clusters in HDInsight by using Azure CLI](hdinsight-administer-use-command-line.md#scale-clusters)