Which of the following does NOT describe a capability of Oracle Analytics Cloud's data preparation?

Oracle Analytics Cloud (OAC) is designed to streamline the process of data preparation, providing users with various capabilities to manipulate and prepare data for analysis. Among these capabilities, data wrangling functionality allows users to clean, transform, and combine data from different sources. The integration with spreadsheet software enables users to utilize familiar tools and formats for data handling, enhancing usability.

The support for multiple data sources is fundamental to OAC, allowing it to connect to a wide range of databases and data formats to pull in and analyze data seamlessly. This robust integration capability enables users to work with data from numerous platforms, thus enriching the analysis process.

While pre-built templates for analysis could be useful, they are primarily associated with visualizing data rather than the preparation of data itself. Data preparation focuses more on transforming raw data into a format ready for analysis, whereas templates are typically used after data has been prepared. Thus, the option describing pre-built templates for analysis does not align with the core functionalities associated with data preparation in Oracle Analytics Cloud.