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AI-102 Implement an agentic solution Practice Question

You are designing an agentic solution that uses Azure AI Agent Service to answer customer support queries. The agent needs to retrieve information from a knowledge base stored in Azure AI Search. Which tool should you enable for the agent?

⚠ Common exam trap

Many candidates confuse the Knowledge base tool with Function calling, assuming any external data retrieval requires a custom function, but the Knowledge base tool is a first-party, no-code integration specifically for Azure AI Search indexes.

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

Knowledge base

The Knowledge base tool is the correct choice because it is specifically designed to connect an Azure AI Agent to an Azure AI Search index, enabling retrieval-augmented generation (RAG) from structured or unstructured knowledge sources. This tool allows the agent to query the search index and return relevant chunks of information to answer customer support queries without custom code.

Answer analysis

Option-by-option breakdown

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

  • Code Interpreter

    Why it's wrong here

    Code Interpreter is for code execution, not search.

  • Function calling

    Why it's wrong here

    Function calling is for custom functions, not direct search.

  • KQL

    Why it's wrong here

    KQL is for Azure Data Explorer, not Azure AI Search.

  • Knowledge base

    Why this is correct

    Knowledge base tool allows the agent to query Azure AI Search indexes.

About these practice questions

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Written by Johnson Ajibi, MSc IT Security

Senior Network & Security Engineer · founder of Courseiva

This AI-102 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-102 exam.