Log Parser and Anomaly Detector Coded Against Pytest in an IDE

An interview at NinjaTrader, a small brokerage. Server Log Analyzer and Anomaly Detector Problem environment: an IDE with server.log (sample logs), analyzer_stub.py (skeleton code), and test.py (pytest unit tests). You have to implement the functions below. Input data spec (JSON Schema): the input is multi-line text, and each line is a JSON string containing these 4 required fields: timestamp: a…

Shared by a candidate · reported Sep 2026. Interview formats change; use it as a guide, not a script.