Which types of data can Delta Lake manage?

Delta Lake is designed to handle a wide variety of data types effectively, making it a robust solution for modern data engineering tasks. The correct response emphasizes that Delta Lake can manage both batch and streaming data. This includes structured data, such as data organized in tables, as well as semi-structured data, which does not have a strict schema but still maintains some organizational properties (like JSON or Parquet formats).

This versatility allows Delta Lake to integrate seamlessly with diverse data sources and analytic workloads. By supporting both batch processing—where data is processed in large, fixed chunks—and real-time streaming, Delta Lake meets the demands of applications that require timely data availability alongside historical data analysis.

In contrast to the other options, which limit the scope of data types, the correct response accurately reflects Delta Lake's capability to work with various data complexities and workflows, making it an invaluable tool for enterprises dealing with different forms of data integration and processing.