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    Free Practice Questions for Microsoft Power Platform AI Agent Builder Associate (AB-620) Certification

    Exam guide version:
    โ€”
    Guide checked for updates:
    10 Sep 2026
    Question bank created:
    8 Sep 2026
    Question bank last updated:
    9 Sep 2026

    Study with 353 exam-style practice questions designed to help you prepare for the Microsoft Power Platform AI Agent Builder Associate (AB-620).

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    Exam Details

    Key information about Microsoft Power Platform AI Agent Builder Associate (AB-620)

    Official study guide

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    Question formats CertSafari offers
    • Multiple choice
    • Ordering
    • Fill in the blank
    prerequisites:

    Familiarity with Power Fx, Microsoft Dataverse, Microsoft Power Platform environments, Microsoft 365 Copilot, Microsoft Foundry, adaptive cards. Intermediate knowledge of generative AI concepts (models, orchestration, RAG, MCP, A2A protocol). Experience with prompt engineering, REST APIs, integration patterns, and configuring agents with basic knowledge sources, instructions, tools, and topics in Microsoft Copilot Studio.

    target audience:

    Professional developers or advanced builders who create, extend, and integrate custom agents for enterprise-grade solutions; IT application developers, consultants, or ISV partners focused on scalable AI solutions.

    Exam Topics & Skills Assessed

    Skills measured (from the official study guide)

    Domain 1: Plan and configure agent solutions

    Subdomain 1.1: Plan an agent solution

    Plan integration with enterprise systems - Plan identity strategy - Plan channels and deployment - Plan responsible AI strategy - Evaluate security and governance considerations - Plan reuseable agent components - Design agents for internal or external audiences

    Subdomain 1.2: Create and monitor agent flows in Copilot Studio

    Create an agent flow - Create a human-in-the-loop agent flow - Configure actions and connectors - Monitor agent flows - Add input and output parameters - Implement error handling in agent flows

    Subdomain 1.3: Configure topics

    Add agent flows to a topic - Configure agent response formatting - Add tools to a topic - Configure advanced agent responses with custom prompts - Configure advanced agent responses with custom knowledge sources - Configure advanced agent responses with API and Send HTTP requests - Configure generative answers node - Configure adaptive cards - Manage variables

    Domain 2: Integrate and extend agents in Copilot Studio

    Subdomain 2.1: Connect to enterprise knowledge sources

    Connect to Copilot connectors - Connect to Microsoft Power Platform connectors - Connect to Azure AI Search

    Subdomain 2.2: Add tools to agents

    Configure and monitor computer use for an agent - Configure MCP tools - Add a tool by using an existing custom connector - Add REST APIs to an agent

    Subdomain 2.3: Configure multi-agent collaboration from Copilot Studio

    Design multi-agent solutions in Copilot Studio - Integrate a Foundry agent - Integrate an existing agent in Copilot Studio - Integrate a Fabric data agent - Create a multi-agent solution by using A2A protocol

    Subdomain 2.4: Integrate agents with Azure

    Configure generative answers by using Azure AI Search with Foundry - Configure custom prompts to use the Foundry model catalog - Monitor agents by using Application Insights

    Domain 3: Test and manage agents

    Subdomain 3.1: Evaluate agent performance

    Create a test set - Choose an evaluation method - Review test results

    Subdomain 3.2: Implement application lifecycle management (ALM) for agents in Copilot Studio

    Create a solution - Add existing agents to a solution - Create and use environment variables - Implement and extend Microsoft Power Platform Pipelines

    Techniques & products

    Microsoft Power Platform
    Copilot Studio
    Power Fx
    Microsoft Dataverse
    Microsoft 365 Copilot
    Microsoft Foundry
    adaptive cards
    generative AI
    models
    orchestration
    retrieval-augmented generation (RAG)
    Model Context Protocol (MCP)
    Agent2Agent (A2A) protocol
    prompt engineering
    REST APIs
    integration patterns
    enterprise systems
    identity strategy
    channels and deployment
    responsible AI strategy
    security and governance
    reusable agent components
    agent flows
    human-in-the-loop agent flow
    actions and connectors
    input and output parameters
    error handling
    topics
    agent response formatting
    tools
    custom prompts
    custom knowledge sources
    API and Send HTTP requests
    generative answers node
    variables
    Copilot connectors
    Microsoft Power Platform connectors
    Azure AI Search
    computer use for an agent
    custom connector
    multi-agent solutions
    Foundry agent
    Fabric data agent
    Application Insights
    test set
    evaluation method
    Application Lifecycle Management (ALM)
    solution
    environment variables
    Microsoft Power Platform Pipelines

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