Topic 1 Question 565
A company has an on-premises MySQL database that handles transactional data. The company is migrating the database to the AWS Cloud. The migrated database must maintain compatibility with the company's applications that use the database. The migrated database also must scale automatically during periods of increased demand.
Which migration solution will meet these requirements?
Use native MySQL tools to migrate the database to Amazon RDS for MySQL. Configure elastic storage scaling.
Migrate the database to Amazon Redshift by using the mysqldump utility. Turn on Auto Scaling for the Amazon Redshift cluster.
Use AWS Database Migration Service (AWS DMS) to migrate the database to Amazon Aurora. Turn on Aurora Auto Scaling.
Use AWS Database Migration Service (AWS DMS) to migrate the database to Amazon DynamoDB. Configure an Auto Scaling policy.
ユーザの投票
コメント(6)
- 正解だと思う選択肢: C
The key reasons are:
DMS provides an easy migration path from MySQL to Aurora while minimizing downtime. Aurora is a MySQL-compatible relational database service that will maintain compatibility with the company's applications. Aurora Auto Scaling allows the database to automatically scale up and down based on demand to handle increased workloads. RDS MySQL (Option A) does not scale as well as the Aurora architecture. Redshift (Option B) is for analytics, not transactional data, and may not be compatible. DynamoDB (Option D) is a NoSQL datastore and lacks MySQL compatibility.
👍 5Guru4Cloud2023/08/21 C is correct A is incorrect. RDS for MySQL does not scale automatically during periods of increased demand. B is incorrect. Redshift is used for data sharing purposes. D is incorrect. you muse change application codes.
👍 1Bmaster2023/08/01- 正解だと思う選択肢: C
Aurora is better in autoscaling then RDS
👍 1mrsoa2023/08/03
シャッフルモード