In the context of preparing and processing data for machine learning projects, automation offers several advantages. Considering a scenario where a company aims to scale its ML operations while maintaining high data quality and minimizing costs, which of the following are key benefits of employing automation in data preparation and processing? (Choose two options)

Real Exam

Automation complicates the data collection process, requiring more specialized skills to manage.

0.0%

Automation increases the need for manual intervention in data processing tasks.

2.8%

Automation reduces errors, accelerates processing times, and ensures consistency across datasets.

50.0%

Automation introduces a variety of new data sources, complicating data integration efforts.

2.8%

Automation not only reduces errors and speeds up processes but also significantly lowers operational costs by minimizing manual labor.

44.4%

Google Professional Machine Learning Engineer