Top 50 log parsing Interview Questions
The most frequently asked log parsing questions across all roles and companies, ranked by real interview frequency. Updated daily.
Parse Pinterest infrastructure logs, count matching error patterns, and rank affected services using dictionaries and sorting.
Pinterest
LinkedIn
Pony.AiParse Autodesk service logs and return the 10 IPs with the most failed requests using a hash map and bounded heap.
Autodesk
RealSelfParse Zscaler logs, filter ERROR entries, and count distinct literal error patterns efficiently.
Credit KarmaCount error codes from an Affirm log stream and return the top 10 using a hash map and bounded heap.
Affirm
DatadogParse Adecco One logs, filter error events by service and time window, and count each error code in one pass.
AdeccoParse Datadog log lines, group them by severity, and stably sort each bin by timestamp.
DatadogParse Datadog log lines and aggregate severity counts per service in fixed tumbling windows.
DatadogParse log strings, count error codes with a hash table, and return the top five by frequency with deterministic tie-breaking.
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Use a CTE, join, and conditional aggregation to summarize valid monthly user activity.
AdobeUse a CTE, joins, and distinct aggregates to calculate Meta Logistics bookstore payment metrics.
Meta LogisticsCalculate completed order totals per customer using a join, aggregation, NULL handling, and spending classification.
Accenture