Top 50 anomaly detection Interview Questions
The most frequently asked anomaly detection questions across all roles and companies, ranked by real interview frequency. Updated daily.
Use a rolling window and running sum to return indices whose values exceed a mean-based anomaly threshold.
ECS
Sopra SteriaDetect real-time sensor anomalies by comparing each value with the mean and standard deviation of its preceding sliding window.
Woven By Toyota
Siemens EnergyLLeonardoDetect robust outliers in Zoox telemetry using a rolling median and MAD with logarithmic updates.
Zoox
NVIDIADetect per-sensor outliers in DriveWell readings using rolling medians, heaps, and bounded memory.
Cambridge Mobile Telematics
Meta PlatformsUse a sliding window and deque to flag transaction indices with at least two logs in the active time window.
Mastercard
RemitlyDetect values that deviate from a rolling window using constant-memory mean and variance updates.
VerilyUse per-student sliding windows to find Pearson MyLab accounts with excessive interactions in a fixed time window.
Pearson
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Use LAG and conditional aggregation to identify accounts with repeated transactions occurring within short time intervals.
Lyft