A company is planning to migrate a 40 TB Oracle database to an Amazon Aurora PostgreSQL DB cluster by using a single AWS Database Migration Service (AWS DMS) task within a single replication instance. During early testing, AWS DMS is not scaling to the company's needs. Full load and change data capture (CDC) are taking days to complete.
The source database server and the target DB cluster have enough network bandwidth and CPU bandwidth for the additional workload. The replication instance has enough resources to support the replication. A database specialist needs to improve database performance, reduce data migration time, and create multiple DMS tasks.
Which combination of changes will meet these requirements? (Choose two.)

A. Increase the value of the ParallelLoadThreads parameter in the DMS task settings for the tables.

B. Use a smaller set of tables with each DMS task. Set the MaxFullLoadSubTasks parameter to a higher value.

C. Use a smaller set of tables with each DMS task. Set the MaxFullLoadSubTasks parameter to a lower value.

D. Use parallel load with different data boundaries for larger tables.

E. Run the DMS tasks on a larger instance class. Increase local storage on the instance.






 

Suggested Answer: D

Community Answer: B




This question is in DBS-C01 AWS Certified Database – Specialty Exam
For getting AWS Certified Database – Specialty Certificate


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