What is the impact of running a build with ignored expectations in Foundry?

Prepare for the Palantir Data Engineering Certification Exam with interactive quizzes, flashcards, and practice questions. Enhance your skills and boost your confidence for the test day!

When running a build with ignored expectations in Foundry, the fundamental behavior is that the build will succeed regardless of any underlying errors that may exist in the data or its processing. This means that potential issues that would normally be flagged and cause a build to fail are effectively bypassed, leading to the situation where the build is reported as successful even if there are significant data quality concerns. Ignoring expectations allows developers to proceed without resolving these issues, albeit at the risk of downstream problems that could affect analytics, reporting, or decision-making based on the output.

Consequently, it is important to understand that while this approach enables rapid iteration and deployment, it can lead to overlooking critical data validation and integrity checks that ensure the quality and reliability of the built outputs. Therefore, in the context of data engineering practices, relying on builds with ignored expectations should be approached with caution.

Subscribe

Get the latest from Examzify

You can unsubscribe at any time. Read our privacy policy