Multiple training pipelines need the same validated preprocessing step with defined inputs and outputs. Which Azure ML asset should be considered?

1. A storage firewall rule
2. A reusable versioned component
3. A model's final accuracy value
4. A copied unversioned shell fragment in every notebook