Data Governance, Lineage & Catalogs
Catalogs, lineage, classification of personal data, access policy, retention and data ownership. Interviewers probe it to see whether you can run a data platform, not only ship pipelines.
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- Data Catalogs & Metadata Management5 questions
- Data Lineage5 questions
- PII Classification & Masking5 questions
- Access Governance5 questions
- Compliance, Retention & Erasure6 questions
- Data Mesh & Ownership Models6 questions
questions
page 2 of 2What does differential privacy guarantee when publishing aggregate statistics from customer data, and what does its privacy budget mean in practice?
level: seniorimportance: nice to knowfreq 25%
basics
~20 sDifferential privacy guarantees a published result is almost equally likely whether or not any one person's data was included, bounded by epsilon. Noise is added to results, every release spends part of a total budget, and small counts become noisy.
What minimum metadata should a data platform require before a dataset can be published for shared use, and how do you enforce it without stalling teams?
level: principalimportance: nice to knowfreq 25%
basics
~20 sRequire only what a consumer needs to decide whether to use a dataset — owning team, description, classification, update expectation — enforce it automatically at publication, apply it only to shared tiers, and make compliance the easiest path.
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