GO TO A SECTION

↑ ↓ to navigate · Enter to openExplore all sections →
FDEInterviews logo
← LLM & GenAI Fundamentals / 34
mediumSierraCresta

How did you ensure the LLM didn't answer outside its designed scope?

Past tense matters: the interviewer is asking what you actually enforced at runtime, not what you'd design on a whiteboard. The enforcement chain (gate, starve, screen, measure) with the scope-violation metric that proves it worked.

Updated Aug 2026 · Grounded in real Forward Deployed Engineer interview loops and written to a senior-engineer editorial bar.

Past tense matters: the interviewer is asking what you actually enforced at runtime, not what you'd design on a whiteboard. The enforcement chain (gate, starve, screen, measure) with the scope-violation metric that proves it worked.

20 answers per topic instead of 10, plus saved progress and bookmarks · no cardor unlock all 548 remaining answers · ₹2,000 / $25

Every answer, concept and course, every paper breakdown, all published video lessons, hands-on FDE Lab missions, Premium PDF guides and companion files, the full practice-test bank and work-sample downloads. Referral Premium excludes guide PDFs and their companion files.

6 months · One payment · No auto-renewal

Study alongside free video lessons.

Keep practising

Next in this trackHow are you approaching MVP definition and predictable behavior when building AI agents?PremiumNext in this trackHow do you know your AI system is actually working well?PremiumNext in this trackWalk me through how you'd diagnose high latency in an LLM inference pipelinePremium
DISCUSSION · 0

No comments yet — be the first to share your approach.