Advanced~5h
Data Versioning & Lineage in MLOpsInterview Readiness Check
DVC advanced patterns, Delta Lake time travel, Apache Iceberg, OpenLineage, and Marquez for lineage tracking.
dvcdelta-lakeicebergopenlineagemarqueztime-traveldata-lineage
Learning path
Data Validation & QualityMonitoring & Observability→Data Versioning & Lineage ← you are here→End-to-End Capstone Projects
Try a sample question
A data scientist commits a DVC-tracked dataset to their ML project. Git shows only a small `.dvc` pointer file was added, while the 20GB CSV file is absent from git history. Where is the actual CSV stored?
A.In git LFS storage, which DVC delegates to automatically
B.Compressed inside the `.dvc` pointer file as base64-encoded content
C.In a DVC remote (S3, GCS, local path) separate from the git repository
D.In a shadow branch of the same git repository that DVC manages internally
Sign up free to take the full check and see the answer with an explanation.
What this module tests
- Conceptual understanding of data versioning & lineage fundamentals
- Trade-offs and design decisions in real system scenarios
- dvc and delta-lake — applied knowledge
- Interview-style reasoning and explanation quality
Free to start
Take the Data Versioning & 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 Versioning & Lineage check test?
- The check covers dvc advanced patterns, delta lake time travel, apache iceberg, openlineage, and marquez for lineage tracking. Questions span beginner to advanced difficulty and test both conceptual understanding and practical trade-off reasoning.
- What keywords should I know for Data Versioning & Lineage?
- Key concepts include: dvc, delta-lake, iceberg, openlineage, marquez, time-travel, data-lineage. These frequently appear in mlops 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 Versioning & Lineage?
- Most engineers spend around 5 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 Versioning & Lineage?
- Data Versioning & Lineage builds on Data Validation & Quality and Monitoring & Observability. Complete those first for the best results.
- Is dvc, delta-lake, iceberg covered?
- Yes. The Data Versioning & Lineage module covers dvc, delta-lake, iceberg among other key concepts. The check includes questions that reflect real mlops interview patterns.