Top 50 optimization Interview Questions
The most frequently asked optimization questions across all roles and companies, ranked by real interview frequency. Updated weekly.
Build nested hash-based indexes for dot-path fields and answer multi-filter record queries by intersecting candidate ID sets.
Palantir technologiesImplement batch gradient descent for L2-regularized logistic regression and return the learned weights and bias.
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Explain how to improve PostgreSQL query performance on large transaction datasets using indexes, join strategy, and query rewrites.
PNC Financial Services GroupExplain how to detect vanishing or exploding gradients and stabilize deep neural network training.
BMW Group
ImagryExplain gradient descent updates and practical ways to avoid poor local minima during model training.
Abnormal AI
Hitachi
NVIDIAApproach for allocating acquisition spend and attention across self serve channels using unit economics, attribution, and LTV quality.
OpenAI
PayPal
Meta LogisticsOpen any question for its full solution and discussion.
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