Merge pull request #105963 from deborahc/dech-cosmos-ru-partitioning-docs

Explain updated behavior for shared throughput databases

Author: PRMerger12

articles/cosmos-db/set-throughput.md

@@ -58,7 +58,8 @@ If the workload on a logical partition consumes more than the throughput that's
 Containers in a shared throughput database share the throughput (RU/s) allocated to that database. You can have up to four containers with a minimum of 400 RU/s on the database. Each new container after the first four will require an additional 100 RU/s minimum. For example, if you have a shared throughput database with eight containers, the minimum RU/s on the database will be 800 RU/s.
 
 > [!NOTE]
-> In a shared throughput database, you can have a maximum of 25 containers in the database. If you already have more than 25 containers in a shared throughput database, you will not be able to create additional containers until the container count is less than 25.
+> In February 2020, we introduced a change that allows you to have a maximum of 25 containers in a shared throughput database, which  better enables throughput sharing across the containers. After the first 25 containers, you can add more containers to the database only if they are [provisioned with dedicated throughput](#set-throughput-on-a-database-and-a-container), which is separate from the shared throughput of the database.<br>
+If your Azure Cosmos DB account already contains a shared throughput database with >=25 containers, the account and all other accounts in the same Azure subscription are exempt from this change. Please [contact product support](https://portal.azure.com/?#blade/Microsoft_Azure_Support/HelpAndSupportBlade) if you have feedback or questions. 
 
 If your workloads involve deleting and recreating all the collections in a database, it is recommended that you drop the empty database and recreate a new database prior to collection creation. The following image shows how a physical partition can host one or more logical partitions that belong to different containers within a database: