They provide real-time insights into pipeline performance, enabling proactive optimization and efficiency enhancements.

They add significant overhead to the pipeline, making it less efficient and more complex without tangible benefits.

They facilitate the early detection and resolution of operational issues such as bottlenecks, errors, and performance degradation, ensuring reliability.

They replace the need for continuous data preprocessing by automating all necessary adjustments based on logged data.

Both A and C are correct because they highlight the dual benefits of performance optimization and operational reliability.