Which of the following statements is true about the benefits of Delta Lake?

Delta Lake is designed to handle large volumes of data with efficiency and scalability. One of its key benefits is that it enables data lakes to manage large datasets effectively while maintaining data reliability and performance. Its architecture supports ACID transactions, schema enforcement, and the ability to manage both batch and streaming data, allowing users to scale their data operations seamlessly.

This scalability is particularly valuable in environments where the size of the data can fluctuate significantly, allowing businesses to accommodate growth without compromising on speed or availability. The platform integrates well with Apache Spark, which further enhances its ability to process and analyze big data efficiently.

The other options do not accurately reflect the benefits of Delta Lake. It is not limited to real-time analytics, nor does it lack transaction management features. Additionally, Delta Lake supports both structured and semi-structured data formats, ensuring versatility in handling diverse data types.