Merge pull request #125606 from azarboon/patch-986412

Fix Typo and Clarify Partition Scaling Limitations

Author: v-dirichards

articles/event-hubs/includes/event-hubs-partition-count.md

@@ -10,6 +10,6 @@ ms.custom: "include file"
 
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-As [partition](../event-hubs-features.md#partitions) is a data organization mechanism that allows you to publish and consume data in a parallel manner. We recommend that you balance scaling units (throughput units for the standard tier, processing units for the premium tier, or capacity units for the dedicated tier) and partitions to achieve optimal scale. In general, we recommend a maximum throughput of 1 MB/s per partition. Therefore, a rule of thumb for calculating the number of partitions would be to divide the maximum expected throughput by 1 MB/s. For example, if your use case requires 20 MB/s, we recommend that you choose at least 20 partitions to achieve the optimal throughput.                             
+A [partition](../event-hubs-features.md#partitions) is a data organization mechanism that enables parallel publishing and consumption. While it supports parallel processing and scaling, total capacity remains limited by the namespace’s scaling allocation. We recommend that you balance scaling units (throughput units for the standard tier, processing units for the premium tier, or capacity units for the dedicated tier) and partitions to achieve optimal scale. In general, we recommend a maximum throughput of 1 MB/s per partition. Therefore, a rule of thumb for calculating the number of partitions would be to divide the maximum expected throughput by 1 MB/s. For example, if your use case requires 20 MB/s, we recommend that you choose at least 20 partitions to achieve the optimal throughput.                             
 
 However, if you have a model in which your application has an affinity to a particular partition, increasing the number of partitions isn't beneficial. For more information, see [availability and consistency](../event-hubs-availability-and-consistency.md).