Which tool can be utilized to replace null values and remove unwanted characters?

The Data Cleansing tool is specifically designed to handle tasks related to data quality, including the replacement of null values and the removal of unwanted characters from data fields. This tool provides a user-friendly interface that allows users to perform batch operations on their data, making it efficient for cleaning datasets.

When dealing with null values, the Data Cleansing tool can replace these with specified default values or other character strings, thereby ensuring the integrity of the data for further analysis. Additionally, it can effectively remove or replace characters that may be deemed extraneous—such as punctuation marks or special characters—that could interfere with data processing or analysis.

While the Formula tool can also assist in achieving similar outcomes through the use of expressions to handle null values or manipulate strings, it requires users to write out specific formulas, which may not be as intuitive as the dedicated features found in the Data Cleansing tool. The Join tool is primarily used for combining datasets based on a key field, and it does not address data cleaning tasks directly. The Summarize tool focuses on aggregating data rather than cleaning it. Thus, for the specific tasks of replacing null values and removing unwanted characters, the Data Cleansing tool is the most suitable choice.