3.3 Identify Grounding Techniques and Their Use Cases. GENERATIVE-AI-LEADER Practice Questions (Page 7)

Questions 31–34

1. 31foundation · easy

   Which of the following is a key sampling parameter that controls the randomness of a model's output?

   • AOutput length
   • BTemperature
   • CToken count
   • DSafety settings
   Reveal Solution Discussion Select an answer first
2. 32foundation · easy

   Which sampling parameter is used to limit the maximum number of tokens in a model's response?

   • ATop-p
   • BToken count
   • CSafety settings
   • DTemperature
   Reveal Solution Discussion Select an answer first
4. 33application · medium

   A legal research platform uses a large language model to summarize court rulings. Users report that summaries sometimes cite precedents that do not exist or misstate the holding of a real case. The platform has a comprehensive internal database of verified case law. Which change is most likely to improve the accuracy of the summaries?

   • AImplement RAG to retrieve relevant case law from the internal database and include it in the prompt.
   • BIncrease the max output token count so summaries can be longer.
   • CLower the temperature to 0 and reduce top-p to 0.1.
   • DAdjust safety settings to block more content categories.
   Reveal Solution Discussion Select an answer first
5. 34foundation · easy

   Which type of grounding data is most appropriate for a company's internal HR policy chatbot?

   • AFirst-party enterprise data
   • BThird-party data
   • CSynthetic data
   • DWorld data
   Reveal Solution Discussion Select an answer first