DistillPrep

Master AI/ML interviews through practical reasoning.

Platform

AboutContactPricingSupportBlogFAQHelp Desk

Legal

Privacy PolicyTerms & ConditionsRefund Policy

© 2026 DistillPrep. All rights reserved.

Built for AI engineers and interview preparation.

DistillPrep
PythonGenAIGenAI FrameworksNLPDeep LearningMachine LearningML LibrariesStatisticsSQLMLOpsCloudSystem Design
PricingBlog
O

MLOps

Curriculum Engine

Knowledge Tracks

Mastery Insight

"Focus on topics where you've failed edge-case questions. MAANG interviewers look for conceptual depth, not speed."

Live Engine
Select Topic
mediumModel Deployment Patterns
A team runs a canary deployment: 5% of traffic to new model, 95% to champion. After 48 hours, the new model achieves better accuracy (+2%) but worse P99 latency (220ms vs. 90ms champion). The team's SLA is P99 < 200ms. The product manager says "2% accuracy is worth it — can we tune the new model to meet the latency SLA?" What is the correct response?
Progress0%
0 of 117 concepts cleared
Accuracy
0%
Solved
0

Question Index

Interview Tips

  • 1.Concepts over memorization.
  • 2.Identify trade-offs in every solution.