Advanced~2h
Data Governance & Lineage in Data Engineering CoreInterview Readiness Check
Data catalogues (Amundsen, DataHub, Unity Catalog), end-to-end lineage with OpenLineage, metadata management, ownership and stewardship, why data mesh is more an org pattern than a tech stack..
governancelineageOpenLineageDataHubAmundsenUnity Catalogmetadatadata meshownership
Learning path
Try a sample question
What is data lineage, and why is it critical for data engineering operations?
A.Data lineage is the record of how data flows from source to destination — which pipelines transformed it, which tables it came from, enabling root cause analysis when data quality issues occur
B.Data lineage is the history of who accessed a table
C.Data lineage is the documentation of table schemas
D.Data lineage is the backup history of a database
Sign up free to take the full check and see the answer with an explanation.
What this module tests
- Conceptual understanding of data governance & lineage fundamentals
- Trade-offs and design decisions in real system scenarios
- governance and lineage — applied knowledge
- Interview-style reasoning and explanation quality
Free to start
Take the Data Governance & Lineage check →
10 questions · Dimension scoring · AI coach feedback · Shareable result
Test your knowledge — free →No credit card · Takes 10–15 min
Frequently asked questions
- What does the Data Governance & Lineage check test?
- The check covers data catalogues (amundsen, datahub, unity catalog), end-to-end lineage with openlineage, metadata management, ownership and stewardship, why data mesh is more an org pattern than a tech stack.. Questions span beginner to advanced difficulty and test both conceptual understanding and practical trade-off reasoning.
- What keywords should I know for Data Governance & Lineage?
- Key concepts include: governance, lineage, OpenLineage, DataHub, Amundsen, Unity Catalog, metadata, data mesh, ownership. These frequently appear in data engineering core interviews at product and infrastructure companies.
- How many questions are in the check?
- Each check has 10 questions — a mix of MCQ and short-answer. You get scored by dimension (e.g., scalability, consistency) so you know exactly where to focus.
- How long does it take to study Data Governance & Lineage?
- Most engineers spend around 2 hours on this module. The check itself takes about 10–15 minutes. You can retake it up to 3 times per day.
- What prerequisite knowledge do I need before Data Governance & Lineage?
- Data Governance & Lineage builds on Data Quality & Testing. Complete those first for the best results.
- Is governance, lineage, OpenLineage covered?
- Yes. The Data Governance & Lineage module covers governance, lineage, OpenLineage among other key concepts. The check includes questions that reflect real data engineering core interview patterns.