Which formats are supported for data ingestion into Oracle Autonomous Database?

The correct choice highlights the versatility and robustness of Oracle Autonomous Database in handling various data formats for ingestion. Specifically, it supports Hadoop, which is significant for integrating large datasets typically used in big data environments, along with CSV and JSON, which are among the most commonly used formats for structured and semi-structured data. This capability allows users to integrate diverse data sources seamlessly, accommodating both traditional data formats and modern data processing techniques.

Additionally, the mention of "and more" in the answer indicates the flexibility of the database to potentially support even more formats as technology evolves or as specific use cases arise. This adaptability is crucial for businesses that need to work with varying data types and sources, ensuring that their database solutions can grow and evolve with their needs.

Other options limit the scope of data ingestion formats significantly. For example, focusing only on XML and JSON or restricting it to CSV, XML, and plain text does not reflect the full range of capabilities offered by Oracle Autonomous Database. Similarly, the claim of only allowing flat files ignores the support for various modern big data solutions, like Hadoop, which can process complex datasets beyond simple text files. Therefore, the breadth of supported formats is what makes the correct choice stand out.