Answer-first summary for fast verification
Answer: Version control
**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.
Author: LeetQuiz Editorial Team
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In the context of deploying and managing data pipelines in a cloud environment, which method is most effective for monitoring and tracking modifications to ensure reliability and facilitate collaboration among team members? Consider the need for auditing changes, reverting to previous versions if necessary, and managing code changes efficiently. Choose the best option.
A
Data encryption
B
Version control
C
Data duplication
D
Schema enforcement
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