Which tool should you use for dynamically sampling data in Alteryx?

The Sample tool is specifically designed to allow users to dynamically select a subset of data from a larger dataset based on different criteria. It provides options to sample data either by percentage or by a specified number of records, which is particularly useful for analyzing large datasets without having to process the entire set.

Using the Sample tool, a user can create a configuration that can change based on incoming conditions or parameters, making it flexible for dynamic sampling needs. This is essential in scenarios where analysis or modeling requires representative samples, helping to ensure that insights drawn from the data are accurate without inundating the system with excess information.

On the other hand, the Dynamic Input tool is primarily used for reading data from different files or sources dynamically based on user-defined rules, rather than for sampling. The Random Sample tool, while it may seem close in functionality, is different in that it randomly selects records, but it lacks the broader sampling options provided by the Sample tool. Lastly, the Data Cleansing tool focuses on processes like removing nulls, standardizing formats, and fixing inconsistencies in data, which does not serve the purpose of sampling data dynamically.