Which two statements are true regarding self-service data preparation capabilities in Oracle Analytics Cloud? (Choose two.)

The statement highlighting that data flows can extract, wrangle, and format data for visual content creation accurately reflects the capabilities of Oracle Analytics Cloud’s self-service data preparation functionalities. Data flows are integral to the self-service aspect of data preparation, allowing users to perform transformations, clean data, and structure it in a way that is ready for visualization. This capability empowers users to handle data directly without needing deep technical skills, promoting agility in data analysis.

Moreover, the inclusion of delimited flat files and Excel spreadsheets as data sources illustrates the versatility of Oracle Analytics Cloud. It enables users to easily incorporate various file types into their analytics processes, thereby expanding the scope of data analysis and broadening the potential for insights derived from diverse data sources. This flexibility is vital for users who often work with different types of data in their analytical tasks.

The combination of these features emphasizes the user-centric approach of Oracle Analytics Cloud, allowing individuals to manipulate and utilize data seamlessly for effective decision-making and reporting.