AI-102 Implement generative AI solutions

A knowledge-base team evaluates a grounded question-answering pipeline and wants a score that shows whether each claim in a generated reply is backed by the retrieved context. Which metric should they report?

Show answer and explanation

Answer: C

Groundedness evaluates whether statements in the response are supported by the context supplied to the model, which is the central concern for retrieval-augmented answers. Coherence judges how logically the text reads, while response length and time to first token are operational measurements. A reply can be fluent and coherent yet still invent facts, so faithfulness to the retrieved context needs its own metric.

Why the other options are wrong

  • A. Length describes how long the output is. A short answer can still fabricate details, so length says nothing about whether content is supported by retrieved passages.
  • B. Time to first token measures latency for streamed responses. It reflects performance, not whether generated claims match the source material.
  • D. Coherence assesses how well sentences flow together. A fluent answer may still contain claims absent from the retrieved context, so coherence does not measure support.

Keep going. 175 AI-102 questions, answers explained after each one.

Practise this domain

Reviewed November 2026. Spotted a problem with this question? Report it from the practice tool.