We also have Azure Table Storage key one you want to focus on. It’s used for storing large volumes of semi-structured data in a format of like a NoSQL format.
And finally, review the Azure Cosmos Database. Know that this is a globally distributed NoSQL database that supports multiple AI’s or API’s I should say like, MongoDB and Cassandra. It’s built for low latency and high availability.
Make sure you can match each of these services to the right use case. This kind of scenario-based knowledge is essentially what you’re going to see on your exam, so keep that in mind.
Design for Azure Cosmos DB and Table Storage
| Storage Type | Considerations |
| Azure Table storage | Stores and queries huge sets of semi-structured data (non-relational data) and helps scale tables as demand increases. |
| Azure Cosmos DB | Build applications with guaranteed low latency and high availability anywhere, at any scale, or migrate Cassandra, MongoDB, Gremlin, and other NoSQL workloads to the cloud. |