Automated Evaluation Pipelines Quiz

5 questions Pass: 70% +25 pts

Quiz covering GenAI Quality Assurance

Automated Evaluation Pipelines Quiz

5 questions | Pass: 70% | Earn 25 points

Questions in this quiz

A preview of the 5 questions covered. Start the quiz above to answer them, check your score, and read the explanations.

  1. 1

    What is the primary purpose of an automated evaluation pipeline in GenAI development?

  2. 2

    When using an 'LLM-as-a-judge' approach for automated evaluation, which of the following is considered a best practice?

  3. 3

    Which metric is most appropriate for evaluating a RAG (Retrieval-Augmented Generation) system's ability to avoid hallucinations?

  4. 4

    Why is it important to include a 'Golden Dataset' in your automated evaluation pipeline?

  5. 5

    You observe that your LLM-as-a-judge evaluation results show high variance (low reproducibility) across multiple runs. Which technique is most effective for mitigating this issue?