supported only in the premium and dedicated

Author: spelluru

articles/event-hubs/azure-event-hubs-kafka-overview.md

@@ -14,7 +14,8 @@ This article explains how you can use Azure Event Hubs to stream data from [Apac
 Azure Event Hubs provides an Apache Kafka endpoint on an event hub, which enables users to connect to the event hub using the Kafka protocol. You can often use an event hub's Kafka endpoint from your applications without any code changes. You modify only the configuration, that is, update the connection string in configurations to point to the Kafka endpoint exposed by your event hub instead of pointing to a Kafka cluster. Then, you can start streaming events from your applications that use the Kafka protocol into event hubs, which are equivalent to Kafka topics.
 
 > [!NOTE]
-> Event Hubs for Kafka Ecosystems supports [Apache Kafka version 1.0](https://kafka.apache.org/10/documentation.html) and later.
+> - This feature is supported only in the **premium** and **dedicated** tiers. 
+> - Event Hubs for Kafka Ecosystems supports [Apache Kafka version 1.0](https://kafka.apache.org/10/documentation.html) and later.
 
 ## Apache Kafka and Azure Event Hubs conceptual mapping
 
@@ -34,7 +35,7 @@ While [Apache Kafka](https://kafka.apache.org/) is software you typically need t
 
 For more information about Event Hubs and namespaces, see [Event Hubs features](event-hubs-features.md#namespace). As a cloud service, Event Hubs uses a single stable virtual IP address as the endpoint, so clients don't need to know about the brokers or machines within a cluster. Even though Event Hubs implements the same protocol, this difference means that all Kafka traffic for all partitions is predictably routed through this one endpoint rather than requiring firewall access for all brokers of a cluster.   
 
-Scale in Event Hubs is controlled by how many [throughput units (TUs)](event-hubs-scalability.md#throughput-units) or [processing units](event-hubs-scalability.md#processing-units) you purchase. If you enable the [Auto-Inflate](event-hubs-auto-inflate.md) feature for a standard tier namespace, Event Hubs automatically scales up TUs when you reach the throughput limit. This feature also works with the Apache Kafka protocol support. For a premier tier namespace, you can increase the number of processing units assigned to the namespace. 
+Scale in Event Hubs is controlled by how many [throughput units (TUs)](event-hubs-scalability.md#throughput-units) or [processing units](event-hubs-scalability.md#processing-units) you purchase. If you enable the [Auto-Inflate](event-hubs-auto-inflate.md) feature for a standard tier namespace, Event Hubs automatically scales up TUs when you reach the throughput limit. This feature also works with the Apache Kafka protocol support. For a premium tier namespace, you can increase the number of processing units assigned to the namespace. 
 
 ## Is Apache Kafka the right solution for your workload?