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Implement an agentic solutionmediumMultiple ChoiceObjective-mapped

AI-102 Implement an agentic solution Practice Question

You are developing an agentic solution that requires the agent to maintain context across multiple turns in a conversation. Which feature should you use to store and retrieve conversation history?

⚠ Common exam trap

Many exam-takers confuse 'memory' (which sounds like the obvious choice for storing history) with the specific Azure AI Agent Service feature 'threads', which is the actual API-level construct designed for multi-turn conversation context.

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

Threads

In the context of agentic solutions on Azure, threads are the correct feature for storing and retrieving conversation history across multiple turns. Threads maintain a sequential record of messages and tool calls, allowing the agent to reference prior context and maintain coherent multi-turn interactions. Sessions, vector stores, and memory serve different purposes and do not natively preserve conversational context in the same structured way.

Answer analysis

Option-by-option breakdown

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

  • Sessions

    Why it's wrong here

    Sessions are used in Azure Container Apps, not for agent context.

  • Threads

    Why this is correct

    Threads automatically store messages and context across turns.

  • Vector store

    Why it's wrong here

    Vector stores are for semantic search, not conversation history.

  • Memory

    Why it's wrong here

    Memory is a conceptual feature, not an API resource in Azure AI Agent Service.

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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.