Update cosmos-db-vs-mongodb-atlas.md - Acrolinx fix

Author: American-Dipper

articles/cosmos-db/mongodb/cosmos-db-vs-mongodb-atlas.md

@@ -29,7 +29,7 @@ ms.date: 02/27/2024
 | 99.999% availability SLA | [Yes](../high-availability.md) | No. MongoDB Atlas offers a 99.995% availability SLA |
 | SLA covers cloud platform | Yes | No. For more details, read the MongoDB Atlas SLA |
 | Instantaneous and automatic scaling | Yes, ​Azure Cosmos DB RU-based deployments [automatically and instantaneously scale 10x with zero performance impact](../provision-throughput-autoscale.md) on your applications. Scaling of vCore-based instances is managed by users | ​​​Atlas dedicated instances managed by users, or scale automatically after analyzing the workload over a day. |
-| Multi-region writes (aka multi-master) | ​​Yes. With multi-region writes, customers can update any document in any region, enabling 99.999% availability SLA  | ​​​Yes. With multi-region zones, customers can configure different write regions per shard. Data within a single shard is writable in a single region.​​  |
+| Multi-region writes (also known as multi-master) | ​​Yes. With multi-region writes, customers can update any document in any region, enabling 99.999% availability SLA  | ​​​Yes. With multi-region zones, customers can configure different write regions per shard. Data within a single shard is writable in a single region.​​  |
 | Limitless scale | ​​Azure Cosmos DB provides ability to scale RUs up to and beyond a billion requests per second, with unlimited storage, fully managed, as a service​. ​​vCore-based Azure Cosmos DB for MongoDB deployments support scaling through sharding | ​​​​MongoDB Atlas deployments support scaling through sharding​. |
 | Independent scaling for throughput and storage | Yes, with RU-based Azure Cosmos DB for MongoDB | No |
 | Vector Search for AI applications | Yes, with [vCore-based Azure Cosmos DB for MongoDB](./vcore/vector-search.md) | Yes, with MongoDB Atlas dedicated instances |