DBS-C01 · Question #91
A company is closing one of its remote data centers. This site runs a 100 TB on-premises data warehouse solution. The company plans to use the AWS Schema Conversion Tool (AWS SCT) and AWS DMS for the
The correct answer is B. Leverage AWS SCT and apply the converted schema to Amazon Redshift. Start an AWS DMS. https://aws.amazon.com/blogs/database/new-aws-dms-and-aws-snowball-integration-enables- mass-database-migrations-and-migrations-of-large-databases/
Question
A company is closing one of its remote data centers. This site runs a 100 TB on-premises data warehouse solution. The company plans to use the AWS Schema Conversion Tool (AWS SCT) and AWS DMS for the migration to AWS. The site network bandwidth is 500 Mbps. A Database Specialist wants to migrate the on-premises data using Amazon S3 as the data lake and Amazon Redshift as the data warehouse. This move must take place during a 2-week period when source systems are shut down for maintenance. The data should stay encrypted at rest and in transit. Which approach has the least risk and the highest likelihood of a successful data transfer?
Options
- ASet up a VPN tunnel for encrypting data over the network from the data center to AWS. Leverage
- BLeverage AWS SCT and apply the converted schema to Amazon Redshift. Start an AWS DMS
- CLeverage AWS SCT and apply the converted schema to Amazon Redshift. Once complete, use a
- DSet up a VPN tunnel for encrypting data over the network from the data center to AWS. Leverage
How the community answered
(21 responses)- A19% (4)
- B62% (13)
- C14% (3)
- D5% (1)
Explanation
https://aws.amazon.com/blogs/database/new-aws-dms-and-aws-snowball-integration-enables- mass-database-migrations-and-migrations-of-large-databases/
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