Data Engineering
Data Quality & Governance
6 practice questions. Free questions open a full answer guide; the rest unlock with Pro.
- Your pipeline keeps breaking because an upstream team changes their data — they rename a column or change a type without warning, and you find out when a downstream dashboard goes blank. The current fix is to add more validation tests on your side. How would you reason about a more durable solution?
- Walk me through how you'd build data quality into a pipeline so a downstream dashboard doesn't silently break when an upstream source changes. Where do tests fit versus contracts?Go Pro
- What is a data contract, and how does it help keep data quality high between the team producing data and the teams consuming it?Go Pro
- What are some common data quality dimensions you'd check for in a dataset, and how would you actually test for them in a pipeline?Go Pro
- A stakeholder says they don't trust the numbers in a report and you can't tell where the data came from or whether it's current. How would you approach data quality and governance so the data is trustworthy and traceable?Go Pro
- You've been asked to set up data quality monitoring for a critical pipeline that feeds executive dashboards. How do you decide what to actually check, where in the pipeline to check it, and how to keep the team from drowning in alerts?Go Pro
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