Top 50 data cleaning Interview Questions
The most frequently asked data cleaning questions across all roles and companies, ranked by real interview frequency. Updated daily.
Identify duplicate transaction rows, retain the earliest record, and delete later duplicates safely.
Oracle
Discover
MicrosoftDeduplicate events within a 24-hour lateness window while retaining the earliest ingested record for each event.
GoogleParse release log text and calculate event counts, error rates, average latency, and p95 latency per software release.
AppleIdentify duplicate rows by key columns and return each duplicated group with its count.
MicrosoftNormalize Phenom Talent Marketplace skill labels, apply aliases, deduplicate them, and rank by frequency using hashing and sorting.
Phenom
Clear
ManpowerRecursively extract and normalize nested TetraScience assay measurements while preserving inherited experiment and sample context.
TetraScience
Bridgestone AmericasFlatten, clean, deduplicate, and aggregate nested JSON events in one linear pass.
AdobeParse messy Plaid transaction records, normalize fields, and deduplicate valid transactions in one pass.
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