Top 50 data parsing Interview Questions
The most frequently asked data parsing questions across all roles and companies, ranked by real interview frequency. Updated daily.
Parse nested clinical observations, deduplicate versions, and return records sorted by patient and collection time.
Sanofi
Genius Sports
SpacexFlatten nested JSON into path-value pairs using iterative depth-first traversal with O(n) time and controlled stack space.
Wissen Technology
66degreesFill missing regularly spaced time-series points using linear interpolation between known observations.
WorldQuantParse semicolon-separated IBM Instana alert labels into a dictionary using straightforward string splitting.
IBMParse quoted key-value fields from incoming messages while handling duplicates, separators, and malformed input.
WATIParse chronological asset events and produce a deduplicated, sorted package manifest using hash maps and sets.
ActivisionParse a JSON string and recursively validate its types, required fields, ranges, and patterns against a supplied schema.
ADPParse release log text and calculate event counts, error rates, average latency, and p95 latency per software release.
AppleCompare normalized character signatures to determine whether each pair of strings is an anagram.
AdobeUse a CTE, join, and conditional aggregation to summarize valid monthly user activity.
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