A company is migrating a large PostgreSQL database to Amazon Aurora PostgreSQL. The database is currently 15 TB. The company wants to minimize downtime during the cutover. They are using AWS Database Migration Service (DMS) with Change Data Capture (CDC). During the full load phase, the migration is taking too long. How can the architect speed up the full load phase?

Answer options:

A.

Increase the network bandwidth of the AWS Direct Connect connection.

B.

Configure DMS to use parallel load for large tables by specifying table partitions or boundaries.

C.

Switch from AWS DMS to AWS DataSync.

D.

Disable CDC during the full load phase.

How to approach this question

Identify DMS optimization techniques.

Full Answer

B.Configure DMS to use parallel load for large tables by specifying table partitions or boundaries.✓ Correct

For very large tables, AWS DMS can be configured to use parallel load. By defining table partitions or boundaries, DMS can spawn multiple threads to extract data concurrently, drastically reducing the full load time.

Common mistakes

Assuming network bandwidth is the issue without optimizing the DMS task configuration.

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