A company wants to replicate existing and ongoing data changes from an on-premises Oracle database to Amazon RDS for Oracle using AWS Database Migration Service (AWS DMS). The data volume varies throughout the day and the solution should allocate only the capacity required for replication. Which solution meets these requirements?
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Correct answer: Create an AWS DMS Serverless replication task to analyze and replicate the data while provisioning the required capacity..
Why this is the answer
AWS DMS Serverless is the correct solution because it automatically provisions, monitors, and scales the replication capacity needed for data migration tasks. This aligns perfectly with the requirement to allocate only the capacity needed for varying data volumes, eliminating the need for manual capacity planning. Configuring a Multi-AZ DMS replication instance provides high availability but does not automatically scale capacity based on data volume. Using Amazon EC2 Auto Scaling for a DMS replication instance is not a native feature of DMS and would be an overly complex, unsupported workaround. Provisioning DMS capacity with Amazon ECS and Fargate is incorrect; DMS has its own dedicated replication instances and serverless options, and ECS/Fargate are not used for scaling DMS replication capacity directly.
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