AI Engineering Interview Questions — Practice Library

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Start here: Data Engineer

Six problems, easy to hard. Work through them in order — each one builds on the last.

0/ 6 done
  1. 1
    RANGE vs ROWS window frames: ROWS uses physical row count, RANGE uses value-based ordering.
    Easy
    Start →
  2. 2
    Random Projection Index for High-Dimensional Nearest Neighbor Search
    Easy
    Start →
  3. 3
    CDC Log-Based Versus Trigger-Based: Implementation Trade-offs
    EasyLinkedIn
    Pro
  4. 4
    Rank transactions by amount within user partitions, ties broken by timestamp
    Medium
    Start →
  5. 5
    Feature drift detection pipeline with automated monitoring and alerting system
    MediumMeta
    Pro
  6. 6
    Schema evolution resilience: versioning, compatibility layers, registry patterns
    HardGoogle
    Pro
1 problem
Problem
Tags
Type
Users with session count growth for three consecutive months
Reported at AirbnbData EngineeringMedium
Coding