If a post-condition Data Expectation fails during a build in Foundry, what will occur?

When a post-condition Data Expectation fails during a build in Foundry, the build is automatically aborted, and the output is not written. This mechanism ensures data integrity and quality by stopping the process if the output does not meet the defined expectations. The purpose of post-condition expectations is to verify that the data conforms to specific criteria after processing; if these criteria aren't met, it indicates potential issues that need to be addressed before proceeding further.

Aborting the build in this scenario prevents invalid or incorrect data from being pushed through the pipeline and ensures that data quality standards are maintained. This is crucial in data engineering, as working with inaccurate or incomplete data can lead to erroneous analyses and decisions downstream.

The options that suggest continuing the build process in any form would not uphold the rigor required in data handling, as proceeding without addressing the failed expectations could compromise the overall data reliability.