AWS Certified Data Engineer Associate DEA-C01 Practice Question
A company needs to migrate a 20 TB on-premises Microsoft SQL Server database to Amazon Aurora PostgreSQL. The team must quantify conversion effort and automatically convert all compatible objects without installing any local tools. Which approach meets these goals with the least manual work?
Install AWS Schema Conversion Tool on a workstation, connect to the databases, generate an assessment report, and apply automatic conversions.
Create an AWS DMS full-load replication task with data validation enabled so the task automatically creates the target schema during migration.
Run AWS DMS Fleet Advisor to collect inventory, export the results to Amazon S3, and manually write SQL statements to convert incompatible objects.
Create a migration project in the AWS DMS console, register SQL Server and Aurora data providers, run an assessment in AWS DMS Schema Conversion, apply the automatic conversions, and download the converted SQL scripts.
Creating a migration project in the AWS DMS console allows the team to run AWS DMS Schema Conversion entirely in the cloud. The service generates an assessment report that estimates the conversion effort, performs automatic conversion of compatible objects, and produces downloadable scripts for any objects that require manual application. This satisfies the requirement to avoid local software installation while minimizing manual effort. Installing AWS SCT locally violates the constraint. AWS DMS Fleet Advisor only inventories databases and cannot perform conversions. A standard AWS DMS replication task can create tables but does not assess or convert database code such as stored procedures or functions.
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AWS Certified Data Engineer Associate DEA-C01
Data Store Management
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