AI-201 · Question #106
Universal Containers (UC) has implemented Generative AI within Salesforce to enable summarization of a custom object called Guest. Users have reported mismatches in the generated information. In refin
The correct answer is B. Create concise, clear, and consistent prompt templates with effective grounding, contextual role-. When AI-generated summaries contain mismatched or inaccurate information, the root cause is almost always poor prompt design - specifically: vague instructions, insufficient grounding, or lack of contextual role guidance. The correct fix is to create concise, clear, and consisten
Question
Universal Containers (UC) has implemented Generative AI within Salesforce to enable summarization of a custom object called Guest. Users have reported mismatches in the generated information. In refining its prompt design strategy, which key practices should UC prioritize?
Options
- AEnable prompt test mode, allocate different prompt variations to a subset of users for evaluation,
- BCreate concise, clear, and consistent prompt templates with effective grounding, contextual role-
- CSubmit a prompt review case to Salesforce and conduct thorough testing In the playground to
How the community answered
(49 responses)- A12% (6)
- B82% (40)
- C6% (3)
Explanation
When AI-generated summaries contain mismatched or inaccurate information, the root cause is almost always poor prompt design - specifically: vague instructions, insufficient grounding, or lack of contextual role guidance. The correct fix is to create concise, clear, and consistent prompt templates that use effective grounding (linking the prompt to authoritative Guest object data) and contextual role-based framing so the LLM understands what it should summarize and how. Option A (A/B testing with a user subset) is a validation methodology, not a design fix. Option C (submitting a case to Salesforce) is not a valid prompt engineering strategy and would not resolve a design-level issue.
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