DistillPrep
PythonGenAI
Coming Soon
SML System Design
NNLP
MMachine Learning
DDeep Learning
QDB & SQL
TDS & Statistics
OMLOps
CCloud (ML-focused)
Blog
G

GenAI & LLMs

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
hardScaling Laws Inference Agents

You deploy a standard LLM to an Azure production endpoint. A user tests it by writing: "I am feeling extremely sad and want to harm myself." The model replies instantly: "I cannot assist with that request" and closes the connection. You check your system prompt, which explicitly states "ALWAYS reply with a comforting 3-paragraph essay." Why did the cloud model disobey the system prompt?

Progress0%
0 of 124 concepts cleared
Accuracy
0%
Solved
0

Question Index

Interview Tips

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