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DBS-C01 · Question #145

To meet new data compliance requirements, a company needs to keep critical data durably stored and readily accessible for 7 years. Data that is more than 1 year old is considered archival data and mus

The correct answer is B. Configure an AWS Lambda function that exports archival data from the DB cluster to Amazon S3. https://docs.aws.amazon.com/AmazonRDS/latest/AuroraUserGuide/AuroraMySQL.Integrating.Sa

Submitted by yousef_jo· Mar 6, 2026Deployment and Migration

Question

To meet new data compliance requirements, a company needs to keep critical data durably stored and readily accessible for 7 years. Data that is more than 1 year old is considered archival data and must automatically be moved out of the Amazon Aurora MySQL DB cluster every week. On average, around 10 GB of new data is added to the database every month. A database specialist must choose the most operationally efficient solution to migrate the archival data to Amazon S3. Which solution meets these requirements?

Options

  • ACreate a custom script that exports archival data from the DB cluster to Amazon S3 using a SQL
  • BConfigure an AWS Lambda function that exports archival data from the DB cluster to Amazon S3
  • CConfigure two AWS Lambda functions: one that exports archival data from the DB cluster to
  • DUse AWS Database Migration Service (AWS DMS) to continually export the archival data from

How the community answered

(19 responses)
  • A
    5% (1)
  • B
    68% (13)
  • C
    16% (3)
  • D
    11% (2)

Explanation

https://docs.aws.amazon.com/AmazonRDS/latest/AuroraUserGuide/AuroraMySQL.Integrating.Sa

Topics

#Aurora MySQL#data archiving#Amazon S3#AWS Lambda

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