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Question 1 of 30
In a retail company, a data engineering team is tasked with building a data pipeline to process sales data from various sources, including online transactions, in-store purchases, and customer feedback. The goal is to prepare this data for analysis by the data science team, which will use it to predict future sales trends. Given this scenario, which of the following best describes the primary responsibilities of the data engineering team in contrast to the data science team?
The data engineering team focuses on designing and implementing data pipelines and ensuring data quality, while the data science team analyzes the data to derive insights and build predictive models.
The data engineering team primarily conducts statistical analyses on the sales data, while the data science team is responsible for data storage and retrieval.
The data engineering team is responsible for interpreting the results of data analyses, while the data science team manages the infrastructure for data processing.
The data engineering team develops machine learning algorithms, while the data science team is tasked with data visualization and reporting.

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