What should the output configuration of the Data Cleansing tool include among other functionalities?

The correct response encompasses all functionalities available within the Data Cleansing tool, which is designed to enhance the quality and format of data in various ways.

One primary function is the ability to remove duplicates, ensuring that the dataset contains only unique records and preventing redundancy. This is crucial for accurate data analysis, as duplicates can skew results and insights.

Another feature is the option to update existing values, enabling the user to modify specific entries in the dataset. This flexibility allows for corrections in cases of typos, inaccurate information, or changes in data standards.

Additionally, capitalizing the first letter of all words enhances readability and presentation of text fields. This formatting step improves the overall aesthetic and consistency of textual data, which is especially important in reports and visualizations.

Each of these functionalities contributes to the overall objective of the Data Cleansing tool: to prepare and optimize data for analysis by ensuring it is clean, consistent, and reliable. Thus, including all these functionalities as part of the output configuration is essential for comprehensive data cleansing.