QuestionQ16

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A team wants an evaluation dataset that reflects real-world complexity for a multi-branch agent that uses tools and has several input parameters.

Which approach best aligns with the documented coverage principles for building evaluation cases?

Explanation

For an agent with multiple branches, tools, and input parameters, mapping input combinations, edge cases, and boundary conditions provides meaningful coverage. UiPath recommends three to five distinct evaluations per logically equivalent case and prioritizing test quality over quantity. (docs.uipath.com)

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