EasyTechnical screen5 min to answer

What is a context window, and what breaks when you exceed it?

1Give yourself 5 minutes

2Answer out loud, not in your head

3Then compare with the answer below

Stuck? Show a way to structure it+

01Clarify the objective, user, constraints, and acceptable failure modes.
02Structure the response around token limit, truncation, lost instructions, chunking.
03Compare credible alternatives and state the decision criteria.
04Finish with validation, monitoring, and what would change the decision.

Reference answer

strong answer

I would first define the outcome and acceptable error boundary. I would explicitly cover token limit, truncation, lost instructions, chunking. I would select an approach only after comparing quality, latency, cost, safety, and operational complexity, then validate it with representative cases and production monitoring.

token limit
truncation
lost instructions
chunking

Must be adapted to the interviewer’s scenario
Would benefit from concrete numbers and personal examples

alternative answer

A second valid approach is to begin with the highest-risk assumption and test it cheaply. I would explicitly cover token limit, truncation, lost instructions, chunking. I would select an approach only after comparing quality, latency, cost, safety, and operational complexity, then validate it with representative cases and production monitoring.

token limit
truncation
lost instructions
chunking

Must be adapted to the interviewer’s scenario
Would benefit from concrete numbers and personal examples

Grade yourself

token limit

weight 30%

StrongExplains token limit concretely and ties it to a decision or measurable outcome.

WeakMentions token limit without implications, trade-offs, or evidence.

truncation

weight 25%

StrongExplains truncation concretely and ties it to a decision or measurable outcome.

WeakMentions truncation without implications, trade-offs, or evidence.

lost instructions

weight 25%

StrongExplains lost instructions concretely and ties it to a decision or measurable outcome.

WeakMentions lost instructions without implications, trade-offs, or evidence.

chunking

weight 20%

StrongExplains chunking concretely and ties it to a decision or measurable outcome.

WeakMentions chunking without implications, trade-offs, or evidence.

Then expect these follow-ups

What assumption is most fragile?
Tests: depth
What alternative did you reject and why?
Tests: adaptability
How would you validate this in production?
Tests: adaptability

Free to read · better with Enzo

Practice this out loud with Enzo

Enzo runs it as a mock interview, pushes back with follow-ups, and grades you on the rubric.

Continue with Enzo Sign up free

Next question

Why can adding more context make an LLM perform worse?