A data analyst has just finished cleansing a database table and is now ready to update the master. However, the analyst must first check to ensure all the work is accurate. Which of the following…

A data source checkpoint would involve validating the data at its origin, before it even enters the cleansing process.

A data product checkpoint typically refers to the final output or deliverable that users consume, which would be after the master update and any subsequent reporting.

Data retrieval refers to the process of extracting data from its source, and a checkpoint here would focus on ensuring the correct data was pulled, not the accuracy of subsequent transformations.

Data cleansing is a form of data transformation where raw data is converted into a cleaner, more usable format. Checking the accuracy of this work before updating the master database falls directly under the "data transformation" quality checkpoint, ensuring that the cleansing process has been correctly applied and has not introduced errors.