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AI-201 · Question #213

AI-201 Question #213: Real Exam Question with Answer & Explanation

The correct answer is B: Examine the prompt instructions and contents of the chunks shown in the resolved prompt output.. Comprehensive and Detailed Explanation From Exact Extract of AgentForce Documents: According to the AgentForce Troubleshooting and Optimization Guide, hallucinations - instances where the agent fabricates details such as weblinks or data - often occur due to issues in prompt cons

AI Features for Service (e.g., Einstein Bots, Next Best Action)

Question

An AgentForce Specialist wants to troubleshoot an agent that is hallucinating weblinks. The agent has an action that uses a prompt template, which is using a knowledge retriever, to generate the output text that the agent will use. Which process is appropriate to find the root cause of the hallucination behavior?

Options

  • AExamine the topic name and classification description for hallucination guardrails.
  • BExamine the prompt instructions and contents of the chunks shown in the resolved prompt output.
  • CExamine the topic instructions and ensure the word "ALWAYS" is used in the hallucination

Explanation

Comprehensive and Detailed Explanation From Exact Extract of AgentForce Documents: According to the AgentForce Troubleshooting and Optimization Guide, hallucinations - instances where the agent fabricates details such as weblinks or data - often occur due to issues in prompt construction or retrieved content grounding. The recommended diagnostic process involves inspecting the prompt template instructions and reviewing the resolved prompt output, including the actual retrieved knowledge chunks. By examining these areas, the AgentForce Specialist can determine whether the hallucinated content originates from ambiguous prompt phrasing, missing grounding variables, or irrelevant retrieval results. This approach ensures an evidence-based investigation directly linked to the agent's reasoning and generation steps.

Topics

#AI Agent Troubleshooting#LLM Hallucination#Prompt Engineering#Knowledge Retrieval

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