Correct Option: B. Version control

Version control is essential for monitoring and tracking modifications in data pipelines. It supports:

• Managing code changes: Efficiently track alterations to pipeline code, configurations, and scripts.
• Facilitating collaboration: Enables teamwork by managing changes from multiple contributors and resolving conflicts.
• Reverting to previous versions: Allows for a rollback to earlier versions in case new updates introduce issues.
• Auditing changes: Provides a history of changes for troubleshooting and assessing the impact of modifications.

This method ensures that data pipelines remain reliable and verifiable over time.

Why other options are incorrect:

• A. Data encryption: Focuses on securing data confidentiality, not on tracking pipeline changes.
• C. Data duplication: Involves creating copies of data for redundancy, unrelated to change monitoring.
• D. Schema enforcement: Aims at maintaining data consistency and quality, not at tracking changes.