AI-103: Developing AI Apps and Agents on Azure

By Microsoft · Question Mode

QuestionQ19

VerifiedImplement generative AI and agentic solutions

You have a Microsoft Foundry project that contains an agent. The agent generates summaries from retrieved policy documents.

Users report that some responses omit required regulatory clauses, even though the clauses are present in the retrieved content.

You need to improve the completeness of the responses.

Solution: You increase the value of the temperature parameter.

Does this solution meet the goal?

Explanation

The temperature parameter controls the randomness of token sampling; it has no mechanism for ensuring that specific required clauses from the retrieved content are selected and included in the output. Raising temperature makes outputs less predictable and, if anything, increases the risk of omitting or altering required content rather than guaranteeing its inclusion, so it does not meet the goal of improving completeness.

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