A solutions architect is designing the migration of an on-premises 12 TB Oracle database to an Amazon Aurora PostgreSQL-Compatible Edition DB cluster. The source database supports a critical transactional application and experiences high write activity. The database contains several tables with Large Object (LOB) columns that store binary data up to 50 MB, alongside standard transactional tables. The migration strategy requires schema conversion and continuous replication to minimize downtime during the cutover window.
During initial testing of the AWS Database Migration Service (DMS) Change Data Capture (CDC) replication task, the solutions architect observes significant replication lag and CPU spikes on both the source database server and the AWS DMS replication instance. Additionally, some updates are not being replicated to the target database.
Which combination of actions will resolve these performance and replication issues while maintaining the target replication SLA? (Select two.)
- Configure the AWS DMS replication task to use the AWS DMS Binary Reader to read the redo logs directly from the source Oracle database, and verify that supplemental logging is enabled at both the database level and table level for all replicated tables.Answer
- Separate the tables containing large LOB columns into a dedicated AWS DMS task configured with Full LOB mode, while configuring the main task for all other tables to use Limited LOB mode with a maximum LOB size threshold.Answer
- CSet the AWS DMS replication task to use Oracle LogMiner for high-performance log analysis, and disable supplemental logging to reduce the CPU overhead on the source database.
- DEnable supplemental logging at the table level only for tables with LOBs, and run a single AWS DMS replication task with Full LOB mode enabled for all tables to ensure transaction consistency.
- EUse the AWS Schema Conversion Tool (SCT) to automatically convert all LOB columns to PostgreSQL JSONB data types, and run the replication task without enabling ARCHIVELOG mode on the source database.