Which file formats can be directly ingested into a dataset from the data activity page?

The correct choice highlights the ability of Adobe Experience Platform to directly handle Parquet and JSON file formats when ingesting data into a dataset from the data activity page. Parquet is a columnar storage file format optimized for big data processing, which allows for efficient analytics and reduces the amount of storage space required. JSON, or JavaScript Object Notation, is widely used for data interchange, particularly because of its lightweight and easy-to-read nature, making it ideal for transmitting structured data over a network.

These formats align well with the requirements of data processing and analytics frameworks commonly utilized within Adobe Experience Platform. Their compatibility allows users to efficiently ingest and leverage structured data for various operations, ranging from reporting to machine learning tasks.

On the other hand, while CSV and XML are also common file formats for data ingestion, they do not offer the same level of performance and compatibility as Parquet and JSON within the specific context of Adobe Experience Platform’s datasets. Excel and TXT formats, along with HTML and PDF, are typically less suitable for direct ingestion due to their structure and intended use cases, which may not align with the platform's data processing capabilities.