Question bank

4,310 interview questions, answered.

Reference answers, what the interviewer is really testing, how it is graded, and the follow-ups that come next.

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2,498 questions

  1. 865What is your least favorite product among the ones you use, and how would you improve it?MediumProduct· Google, Meta
  2. 866PermutationsMediumCoding· Adobe, Apple
  3. 867How would you leverage discovery features like search to acquire users for TikTok Shop?MediumProduct· TikTok
  4. 868How would you leverage smartphone smelling technology?MediumProduct· Google
  5. 869Lexicographic Grid Travel.MediumCoding· Databricks
  6. 870Should LinkedIn acquire Discord? Why or why not?MediumProduct· LinkedIn
  7. 871Installs on LinkedIn's iOS app are down, what do you do?Medium· LinkedIn
  8. 872If LinkedIn messages are down, how would you identify the cause?MediumDataProduct· LinkedIn
  9. 873What could be the drivers for LinkedIn's performance in different markets?MediumDataTechnical· LinkedIn
  10. 874You're a PM at LinkedIn. Your data science team reports that 64% of outbound messages receive no response. What do you do?MediumDataBehavioral· Google
  11. 875What are three endpoints on Discord?MediumTechnical· Discord, Solenis
  12. 876List four endpoints on Tinder.Medium· Tinder
  13. 877Bias-variance tradeoff: practical rules of thumbMediumAI ML
  14. 878BPE vs SentencePiece vs WordPiece tokenizationMediumAI ML
  15. 879Dense vs sparse (BM25) vs hybrid retrievalMediumAI ML
  16. 880Diagnosing bias vs variance by experimentMediumAI ML
  17. 881Document chunking strategies for RAGMediumAI ML
  18. 882Grid search vs random search vs Bayesian optimizationMediumAI ML
  19. 883Handling severe class imbalance in productionMediumAI ML
  20. 884LoRA vs full fine-tuningMediumAI ML
  21. 885Model Context Protocol (MCP)MediumAI ML
  22. 886RAGAS: why it's popular and where it breaksMediumAI ML
  23. 887The ReAct frameworkMediumAI ML
  24. 888Top-k, top-p (nucleus) and temperature samplingMediumAI ML