A company is preparing to migrate many Windows and Linux servers—some physical and some virtual—plus multiple database types to AWS. They lack an accurate inventory and want to rightsize during migration. A solutions architect must collect information about network connectivity and application relationships and produce a migration plan. Which approach will provide the required data and plan?

The correct option leverages AWS Migration Hub, which provides a central location to track migrations. Installing the AWS Application Discovery Service agent on servers is crucial for collecting detailed system configuration, performance, and network dependency data, including application relationships, which is essential for rightsizing and planning. Deploying the Migration Hub Strategy Recommendations data collector then analyzes this collected data to generate a comprehensive migration plan, including recommendations for migration strategies and rightsizing. The other options are less suitable: Migration Evaluator primarily focuses on cost savings and TCO analysis, not detailed application dependency mapping or comprehensive migration planning for diverse server types. Running the Agentless Collector on servers gathers some data but typically less granular performance and dependency information compared to the agent, and the question specifies a need for detailed application relationships. Grouping with AWS Application Migration Service (MGN) is for the migration execution phase, not initial discovery and planning. The AWS Migration Hub import tool is for uploading existing inventory data, not for discovering unknown environments or collecting performance metrics and application dependencies.