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Implement Generative AI And Agentic SolutionshardMultiple ChoiceObjective-mapped

AI-103 Implement Generative AI And Agentic Solutions Practice Question

You are building an agentic application that uses function calling. The model frequently hallucinates arguments for complex tool schemas. Which technique should you apply to improve function calling reliability?

Answer choices

Why each option matters

Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.

Correct answer & explanation

Enhance the JSON schema with detailed parameter descriptions, enum constraints, and strict schema validation settings.

Providing clear docstrings, descriptions for every parameter in the JSON schema, and strict mode (if supported) guides the model to populate correct arguments.

Answer analysis

Option-by-option breakdown

For each option: why learners choose it and why it is or isn't the right answer here.

  • Convert all tool arguments into unstructured natural language text.

    Why it's wrong here

    Unstructured text breaks downstream programmatic execution of the tool.

  • Remove all parameter descriptions from the tool schema to reduce prompt token count.

    Why it's wrong here

    Removing descriptions removes crucial semantic guidance for the model.

  • Set the model frequency penalty to high values.

    Why it's wrong here

    Frequency penalty disrupts structured JSON generation syntax.

  • Enhance the JSON schema with detailed parameter descriptions, enum constraints, and strict schema validation settings.

    Why this is correct

    Explicit parameter descriptions and strict schemas drastically reduce malformed or hallucinated tool arguments.

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Written and reviewed by Johnson Ajibi, MSc IT Security

Senior Network & Security Engineer · founder of Courseiva

Last reviewed August 2026 · checked against the official Microsoft exam blueprint

This AI-103 practice question is part of Courseiva's free Microsoft certification practice question bank. Courseiva provides original exam-style practice questions with explanations, topic-based practice, mock exams, readiness tracking, and study analytics to help learners prepare for the AI-103 exam.