Question 1 of 30
In a large e-commerce platform, a data engineering team is tasked with designing a data pipeline that efficiently processes user activity logs to generate real-time analytics for marketing strategies. The team must ensure that the pipeline can handle high volumes of data while maintaining data integrity and minimizing latency. Which of the following best describes the primary responsibilities of data engineering in this context?
Designing and implementing scalable data architectures that facilitate the collection, storage, and processing of large datasets in real-time.
Developing machine learning models to predict user behavior based on historical data without considering data pipeline efficiency.
Focusing solely on data visualization techniques to present insights from the processed data without addressing data quality.
Managing database administration tasks, such as backups and user access controls, while ignoring the data flow and processing requirements.

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