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RED SAGSkills

Medium MLOps Engineer questions

34 questions · 10 points each for a correct first answer.

  1. 1.Shadow deploymentmedium
  2. 2.Scheduling a GPU podmedium
  3. 3.When to retrainmedium
  4. 4.Slow image buildsmedium
  5. 5.Online and offline feature storesmedium
  6. 6.Low GPU use under loadmedium
  7. 7.Safe retries in pipelinesmedium
  8. 8.Labels arrive weeks latermedium
  9. 9.Computing PSI for two binsmedium
  10. 10.KV cache size for one long requestmedium
  11. 11.Joining features to training labelsmedium
  12. 12.Old start date with catchup onmedium
  13. 13.Pod killed while loading the modelmedium
  14. 14.Autoscaling a GPU inference servicemedium
  15. 15.Concurrent requests at peakmedium
  16. 16.Reading a KS drift statisticmedium
  17. 17.Serving many fine-tuned variantsmedium
  18. 18.Smaller model with similar qualitymedium
  19. 19.Switching embedding models in RAGmedium
  20. 20.Purpose of a multi-stage buildmedium
  21. 21.Deploying by alias, not versionmedium
  22. 22.Automatic gate before promotionmedium
  23. 23.Training on spot GPUsmedium
  24. 24.Speeding up training on 8 GPUsmedium
  25. 25.Why bf16 is easier than fp16medium
  26. 26.Splitting requests into batchesmedium
  27. 27.What to log for each LLM callmedium
  28. 28.Fleet-wide p99 from many podsmedium
  29. 29.Online features stopped updatingmedium
  30. 30.CPU pods filling GPU nodesmedium
  31. 31.Silent wrong predictions from bad inputmedium
  32. 32.Cost per 1,000 predictionsmedium
  33. 33.Instructions hidden in a documentmedium
  34. 34.p99 doubled right after a releasemedium