Question 90
For this GitHub Copilot case, which implementation decision is best supported? A reviewer wants the model to guarantee that generated code has no security vulnerabilities.
Explanation
Correct Answer
LLMs cannot establish complete absence of defects by assertion. Acceptance evidence: Security tests and review evidence support bounded claims instead of absolutes.
Incorrect Answers
Conversation history consumes a bounded context allocation. That recommendation is relevant to a different task: A user assumes longer chat histories guarantee better suggestions forever. In this case the main need is: A reviewer wants the model to guarantee that generated code has no security vulnerabilities.
Unseen execution state cannot be inferred reliably from source prose alone. That recommendation is relevant to a different task: A model gives a very specific bug diagnosis before seeing the stack trace. In this case the main need is: A reviewer wants the model to guarantee that generated code has no security vulnerabilities.
The available model context window has finite capacity. That recommendation is relevant to a different task: A long Copilot Chat thread accumulates many tool calls and begins losing early requirements. In this case the main need is: A reviewer wants the model to guarantee that generated code has no security vulnerabilities.