Update hdinsight-faq.md

Author: deshriva

articles/hdinsight/hdinsight-faq.md

@@ -42,7 +42,7 @@ See [Resource types in Azure HDInsight clusters](hdinsight-virtual-network-archi
 ### What are the best practices for creating large HDInsight clusters?
 
 1. Recommend setting up HDInsight clusters with a [Custom Ambari DB](https://docs.microsoft.com/azure/hdinsight/hdinsight-custom-ambari-db) to improve the cluster scalability.
-2. Use [Azure Data Lake Storage Gen2](https://docs.microsoft.com/en-us/azure/hdinsight/hdinsight-hadoop-use-data-lake-storage-gen2) to create HDInsight clusters to take advantage of higher bandwidth and other performance characteristics of Azure Data Lake Storage Gen2.
+2. Use [Azure Data Lake Storage Gen2](https://docs.microsoft.com/azure/hdinsight/hdinsight-hadoop-use-data-lake-storage-gen2) to create HDInsight clusters to take advantage of higher bandwidth and other performance characteristics of Azure Data Lake Storage Gen2.
 3. Headnodes should be sufficiently large to accommodate multiple master services running on these nodes.
 4. Some specific workloads such as Interactive Query will also need larger Zookeeper nodes. Please consider minimum of 8 core VMs.
 5. In the case of Hive and Spark, use [External Hive metastore](https://docs.microsoft.com/azure/hdinsight/hdinsight-use-external-metadata-stores).