When designing a data pipeline for multiple data sources, it is important to consider the ability to handle different data formats and structures from different sources, the ability to integrate with different data sources and APIs, and the ability to transform and normalize data from different sources. This ensures that the pipeline can efficiently process data from multiple sources and provide a unified view of the data. Option A is correct because different data sources may have different data formats and structures. Option B is correct because integration with different data sources and APIs is necessary to ingest data into the pipeline. Option C is correct because transforming and normalizing data from different sources is necessary to provide a unified view of the data.