CLF-C02 - Cloud Technology and Services - Section 3.7

Identify AWS database migration tooling, including the AWS Database Migration Service and the AWS Schema Conversion Tool.

Describe the AWS Database Migration Service as the tool for migrating databases with minimal downtime, and distinguish homogeneous migrations, where the source and target engine match, from heterogeneous ones that need conversion. Recognise the AWS Schema Conversion Tool as the companion that translates schema and code between incompatible engines.

AWS Database Migration ServiceAWS Schema Conversion ToolDatabase migrationHomogeneous and heterogeneous migration

Practice question for this objective

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A company is moving from a commercial Oracle database to Amazon Aurora, which uses a different database engine, and needs the tables, views, and stored procedures rewritten to suit the new engine before the data is migrated. Which AWS tool is designed for this conversion?

  • AAmazon CloudWatch, which collects metrics and logs so teams can monitor their resources but does not convert a database schema to a different engine
  • BAWS Config, which records how resources are set up and tracks changes for compliance but does not convert database schemas between engines
  • CAmazon Athena, which runs queries directly over data held in Amazon S3 but does not convert a database schema for a different engine
  • DAWS Schema Conversion Tool, which converts a source database schema and code so it works on a different target database engine before migration Correct
AWS Schema Conversion Tool converts a source schema and code to suit a different target database engine. Moving between different engines means the schema and procedural code may not be compatible, and AWS SCT translates those objects to the target engine so the database works once the data is migrated.

Why A is wrong: Amazon CloudWatch handles monitoring and alerting, so it has no role in rewriting a schema for a different database engine.

Why B is wrong: AWS Config tracks resource configuration over time, so it cannot convert tables and stored procedures for a new engine.

Why C is wrong: Amazon Athena queries data in place in Amazon S3, so it does not rewrite a schema to suit a different database engine.

Why D is correct: AWS SCT converts the schema and code objects so they fit the target engine, which is exactly what an Oracle to Aurora move needs before the data migration.

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