What feature of AWS DMS helps in continuous data replication?

What feature of AWS DMS helps in continuous data replication?

• A. Change Data Capture
• B. Data Transformation
• C. Database Migration
• D. Schema Conversion

Answer: (A)

Change Data Capture (CDC) is the feature of AWS Database Migration Service (DMS) that supports continuous data replication. This functionality allows you to track and capture changes made to data in the source database in real time. With CDC, whenever a change occurs—such as inserts, updates, or deletes—it is immediately captured and replicated to the target database, ensuring that the target remains in sync with the source. CDC is particularly valuable for businesses that require up-to-date data in their replicating systems, enabling real-time analytics and minimizing data latency. This feature eliminates the need for full data loads that can disrupt database performance, allowing incremental data migrations that are efficient and streamlined. In contrast, the other options provided serve different purposes. Data transformation pertains to modifying the data format or structure during migration, database migration refers to the broader process of moving data from one database to another, and schema conversion focuses on translating the database schema for compatibility in the target environment. None of these options enable the real-time tracking and replication of ongoing changes like Change Data Capture does.

Change Data Capture (CDC) is the feature of AWS Database Migration Service (DMS) that supports continuous data replication. This functionality allows you to track and capture changes made to data in the source database in real time. With CDC, whenever a change occurs—such as inserts, updates, or deletes—it is immediately captured and replicated to the target database, ensuring that the target remains in sync with the source.

CDC is particularly valuable for businesses that require up-to-date data in their replicating systems, enabling real-time analytics and minimizing data latency. This feature eliminates the need for full data loads that can disrupt database performance, allowing incremental data migrations that are efficient and streamlined.

In contrast, the other options provided serve different purposes. Data transformation pertains to modifying the data format or structure during migration, database migration refers to the broader process of moving data from one database to another, and schema conversion focuses on translating the database schema for compatibility in the target environment. None of these options enable the real-time tracking and replication of ongoing changes like Change Data Capture does.