Podcast Episode
[PL-300] 9, Fixing Nulls, Errors, and Data Quality Problems
![[PL-300] 9, Fixing Nulls, Errors, and Data Quality Problems cover art](/_next/image?url=https%3A%2F%2Fartwork.captivate.fm%2F907c2e4d-00fc-42d7-ab0b-4e2a868ab36e%2Ftech-exam-prep-cover.png&w=3840&q=75)
About this episode
This podcast is made by Ran Chen, who holds an EA license, Insurance and Securities licenses (Series 6, 63, 65), and the CFP® designation. He is passionate about opening access to high-quality exam preparation resources and helping learners prepare more effectively for professional certification exams.
In this episode you will learn:
- How replacing errors with zero versus leaving nulls impacts DAX measures like AVERAGE and DIVIDE
- The critical functional difference between Remove Errors and Keep Errors when diagnosing data anomalies
- Best practices for using Fill Down and Fill Up to handle parent-child hierarchy gaps
- How step order and text trimming affect deduplication and inconsistent label cleanup in Power Query
- Strategies for resolving folder import failures and schema changes using robust Power Query error handling
For more free exam prep tools, practice questions, and AI-powered explanations, visit https://open-exam-prep.com/ or YouTube Channel: https://www.youtube.com/@Open-exam-prep