A company uses a Microsoft SQL Server database and its applications connect to that database. The company wants to migrate to an Amazon Aurora PostgreSQL database with minimal changes to application code. Which combination of steps meets these requirements? (Choose two.)

The correct options address both schema/data migration and application compatibility. Migrating the database schema and data from SQL Server to Aurora PostgreSQL is best achieved using AWS Schema Conversion Tool (SCT) for schema conversion and AWS Database Migration Service (DMS) for data migration. SCT can convert the SQL Server schema to a PostgreSQL-compatible format, and DMS can then efficiently migrate the data. To minimize application code changes, enabling Babelfish for Aurora PostgreSQL is crucial. Babelfish allows Aurora PostgreSQL to understand commands from applications written for Microsoft SQL Server, including T-SQL, by providing a SQL Server-compatible endpoint and translation layer. Rewriting SQL queries in applications using AWS SCT is incorrect because the goal is minimal application code changes, which Babelfish directly addresses. Using Amazon RDS Proxy is incorrect as it manages connections and connection pooling but does not aid