Answer-first summary for fast verification
Answer: Both A and C are correct because they highlight the dual benefits of performance optimization and operational reliability., They provide real-time insights into pipeline performance, enabling proactive optimization and efficiency enhancements.
Monitoring and logging are indispensable in ML pipeline automation, especially in production environments with high demands. They offer real-time insights for performance optimization (A) and ensure operational reliability by enabling the early detection and resolution of issues (C). While they introduce additional components to the pipeline, their benefits in terms of efficiency and reliability far outweigh any perceived complexity. They do not, however, eliminate the need for data preprocessing (D), as preprocessing is a separate step necessary for preparing data for ML models. The correct options are A and C, as they collectively cover the essential reasons for implementing monitoring and logging in ML pipelines.
Author: LeetQuiz Editorial Team
Ultimate access to all questions.
No comments yet.
In the context of automating Machine Learning (ML) pipelines, monitoring and logging play a pivotal role. Considering a scenario where an ML pipeline is deployed in a production environment with high throughput requirements and strict compliance standards, which of the following best explains why monitoring and logging are crucial? Choose the two most correct options.
A
They provide real-time insights into pipeline performance, enabling proactive optimization and efficiency enhancements.
B
They add significant overhead to the pipeline, making it less efficient and more complex without tangible benefits.
C
They facilitate the early detection and resolution of operational issues such as bottlenecks, errors, and performance degradation, ensuring reliability.
D
They replace the need for continuous data preprocessing by automating all necessary adjustments based on logged data.
E
Both A and C are correct because they highlight the dual benefits of performance optimization and operational reliability.