SAA-C03 · Question #594
A company wants to replicate existing and ongoing data changes from an on-premises Oracle database to Amazon RDS for Oracle. The amount of data to replicate varies throughout each day. The company…
The correct answer is B. Create an AWS DMS Serverless replication task to analyze and replicate the data while. AWS DMS Serverless is designed to automatically allocate and manage the necessary compute and memory resources based on the demand of the data replication workload. It scales capacity up or down according to the data replication requirements without manual intervention. This…
Question
A company wants to replicate existing and ongoing data changes from an on-premises Oracle database to Amazon RDS for Oracle. The amount of data to replicate varies throughout each day. The company wants to use AWS Database Migration Service (AWS DMS) for data replication. The solution must allocate only the capacity that the replication instance requires. Which solution will meet these requirements?
Options
- AConfigure the AWS DMS replication instance with a Multi-AZ deployment to provision instances
- BCreate an AWS DMS Serverless replication task to analyze and replicate the data while
- CUse Amazon EC2 Auto Scaling to scale the size of the AWS DMS replication instance up or down
- DProvision AWS DMS replication capacity by using Amazon Elastic Container Service (Amazon
How the community answered
(50 responses)- A2% (1)
- B74% (37)
- C16% (8)
- D8% (4)
Explanation
AWS DMS Serverless is designed to automatically allocate and manage the necessary compute and memory resources based on the demand of the data replication workload. It scales capacity up or down according to the data replication requirements without manual intervention. This approach ensures that the replication task uses only the required capacity at any given time, optimizing costs and resources, especially given that the amount of data to replicate varies throughout the day.
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