AI-102 · topic practice

Implement an agentic solution practice questions

Practise Microsoft Azure AI Engineer Associate AI-102 Implement an agentic solution practice questions — original exam-style scenarios with answer choices, explanations, and analysis of common mistakes.

Courseiva uses original exam-style practice questions designed for learning and revision. The goal is to understand the concepts, recognise exam patterns, and improve through explanations — not memorise copied exam dumps.

Reviewed byJohnson Ajibi· MSc IT Security
20 questionsDomain: Implement an agentic solution

What the exam tests

What to know about Implement an agentic solution

Implement an agentic solution questions test whether you can apply the concept in context, not just recognise a definition.

How the topic appears in realistic exam-style scenarios.

Which detail in the question changes the correct answer.

How to eliminate plausible but wrong options.

How to connect the question back to the wider exam objective.

Watch out for

Common Implement an agentic solution exam traps

  • Answering from memory before reading the full scenario.
  • Missing a constraint such as cost, availability, security, scope or command context.
  • Choosing a broad answer when the question asks for the most specific fix.
  • Ignoring why the wrong options are tempting.

Practice set

Implement an agentic solution questions

20 questions · select your answer, then reveal the explanation

You are building an agentic solution using Microsoft Semantic Kernel. The agent must autonomously decide when to call an external API to fetch real-time data. You want to minimize token usage and avoid unnecessary API calls. Which planner configuration should you use?

You are implementing an agentic solution using Azure AI Agent Service. The agent needs to maintain conversation context across multiple turns. You configure the agent with a custom prompt that includes a 'system message' and 'few-shot examples'. However, after a few turns, the agent starts repeating the same responses. What is the most likely cause?

Your organization is deploying an agentic solution using Microsoft Copilot Studio. The agent must be able to escalate to a human agent when it cannot resolve a user's request. You need to ensure that the escalation includes the full conversation history. What should you configure?

You are designing an agentic solution using Azure AI Agent Service with a custom skill that calls an external REST API. The API has rate limits: 100 requests per minute per client. You need to ensure the agent respects this limit without degrading user experience. Which approach should you take?

You are building an agentic solution using Microsoft Semantic Kernel. The agent needs to orchestrate multiple plugins. One plugin returns a large dataset that exceeds the model's context window. What is the best way to handle this?

You are using Microsoft Copilot Studio to create an agent that helps users reset their passwords. The agent should first verify the user's identity using multi-factor authentication (MFA) before proceeding. Which feature should you configure?

You are implementing an agentic solution using Azure AI Agent Service with multiple agents that need to collaborate. Each agent has access to different knowledge bases. You want to ensure that the agents can share context and hand off tasks to each other seamlessly. Which architecture should you use?

You are developing an agentic solution that uses Azure AI Search as a knowledge base. The agent needs to retrieve the most relevant documents based on a user query. You notice that the agent sometimes returns irrelevant results. Which configuration should you adjust?

You are using Microsoft Copilot Studio to create an agent that handles customer support. The agent needs to understand the user's intent from free-text input. Which feature should you use to map user utterances to specific topics?

You are designing an agentic solution using Azure AI Agent Service. The agent needs to perform actions on behalf of users, such as sending emails and updating databases. The solution must use managed identities for authentication to Azure resources. Which TWO configurations are required?

You are building an agentic solution using Microsoft Semantic Kernel. The agent uses a planner to orchestrate multiple functions. You want to improve the planner's ability to handle complex user requests that involve multiple steps. Which THREE strategies should you implement?

You are using Microsoft Copilot Studio to create an agent that handles product returns. The agent needs to collect the user's order number and reason for return. Which TWO features should you use to capture this information?

You deploy an agent using the ARM template shown. Users report that the agent cannot answer questions about uploaded documents. What is the most likely cause?

Exhibit

Refer to the exhibit.
{
  "$schema": "https://schema.management.azure.com/schemas/2019-04-01/deploymentTemplate.json#",
  "contentVersion": "1.0.0.0",
  "resources": [
    {
      "type": "Microsoft.Agents/agent",
      "apiVersion": "2024-12-01-preview",
      "name": "my-agent",
      "location": "eastus",
      "properties": {
        "displayName": "Customer Support Agent",
        "description": "Agent for customer support",
        "instructions": "You are a helpful assistant...",
        "model": {
          "format": "openai",
          "name": "gpt-4o-mini",
          "version": "2024-07-18"
        },
        "tools": [
          {
            "type": "code_interpreter",
            "enabled": true
          },
          {
            "type": "file_search",
            "enabled": false
          },
          {
            "type": "function",
            "function": {
              "name": "get_order_status",
              "description": "Get order status by order ID",
              "parameters": {
                "type": "object",
                "properties": {
                  "order_id": {
                    "type": "string"
                  }
                },
                "required": ["order_id"]
              }
            }
          }
        ],
        "conversation_starters": [
          {
            "text": "Check my order status"
          }
        ]
      }
    }
  ]
}

You are reviewing the configuration of an agent deployed via Azure AI Agent Service, as shown. The agent fails to authenticate when calling the reset_password function, which requires a token from Microsoft Entra ID. What is the most likely issue?

Exhibit

Refer to the exhibit.
{
  "name": "MyAgent",
  "configuration": {
    "description": "Agent for IT support",
    "instructions": "You are an IT support agent...",
    "model": {
      "provider": "azure_openai",
      "name": "gpt-4",
      "version": "1106-Preview"
    },
    "tools": [
      {
        "type": "function",
        "function": {
          "name": "reset_password",
          "description": "Reset user password",
          "parameters": {
            "type": "object",
            "properties": {
              "username": {
                "type": "string"
              }
            },
            "required": ["username"]
          }
        }
      },
      {
        "type": "function",
        "function": {
          "name": "get_user_info",
          "description": "Get user information",
          "parameters": {
            "type": "object",
            "properties": {
              "user_id": {
                "type": "string"
              }
            },
            "required": ["user_id"]
          }
        }
      }
    ],
    "conversation_starters": [
      "Reset my password"
    ],
    "security": {
      "authentication": {
        "type": "api_key",
        "api_key": "<key>"
      }
    }
  }
}

You run the PowerShell script shown to audit your Azure AI Agent Service agents. The script outputs that several agents have no tools configured. What is the impact on those agents?

Exhibit

Refer to the exhibit.
$agents = Get-AzAIAgent -ResourceGroupName 'rg-agent' -SubscriptionId 'sub-123'
foreach ($agent in $agents) {
    if ($agent.Properties.Tools.Count -eq 0) {
        Write-Output "Agent $($agent.Name) has no tools configured."
    }
}

A company is building an agentic solution using Microsoft Copilot Studio. The agent needs to retrieve customer order status from an external CRM API. The API requires OAuth 2.0 authentication with client credentials. Which connector configuration should the developer use?

You are designing an agentic solution in Microsoft Foundry that uses a custom agent to answer questions about internal policies. The agent uses GPT-4o with retrieval augmented generation (RAG) on documents stored in Azure AI Search. Users report that the agent sometimes provides answers that contradict the retrieved documents. Which two actions should you take to improve response fidelity?

Refer to the exhibit. You are deploying an agent in Microsoft Foundry using the ARM template snippet above. The agent needs to call Microsoft Graph API to reset a user's password. However, the deployment fails with an authorization error. What is the most likely cause?

Exhibit

{
  "type": "Microsoft.Agents/agent",
  "apiVersion": "2025-01-01-preview",
  "properties": {
    "displayName": "SupportAgent",
    "description": "Agent for IT support",
    "actions": [
      {
        "type": "conversation",
        "id": "resetPassword",
        "authentication": {
          "type": "ManagedIdentity",
          "resourceId": "/subscriptions/.../userAssignedIdentities/support-identity"
        },
        "parameters": {
          "endpoint": "https://graph.microsoft.com/v1.0/users/{userId}/resetPassword",
          "method": "POST"
        }
      }
    ],
    "knowledgeStores": [
      {
        "type": "azureAISearch",
        "connectionReference": "search-connection"
      }
    ]
  }
}

A company is building an agentic solution using Azure AI Agent Service. The agent needs to execute a Power Automate flow when a user requests a vacation approval. Which action type should the developer add to the agent's action definition?

You are troubleshooting an agent built with Microsoft Copilot Studio. The agent uses a custom topic to check inventory levels. The topic calls a Power Automate flow that returns JSON with 'inStock' boolean. The agent sometimes says 'Item is in stock' even when the flow returns false. What is the most likely cause?

Free account

Track your progress over time

Create a free account to save your results and see which topics improve across sessions.

Focused Implement an agentic solution sessions

Start a Implement an agentic solution only practice session

Every question in these sessions is drawn from the Implement an agentic solution domain — nothing else.

Related practice questions

Related AI-102 topic practice pages

Move into related areas when this topic feels solid.

Implement an agentic solution practice questions

Practise AI-102 questions linked to Implement an agentic solution.

Implement computer vision solutions practice questions

Practise AI-102 questions linked to Implement computer vision solutions.

Implement knowledge mining and information extraction solutions practice questions

Practise AI-102 questions linked to Implement knowledge mining and information extraction solutions.

Implement image and video processing solutions practice questions

Practise AI-102 questions linked to Implement image and video processing solutions.

Implement natural language processing solutions practice questions

Practise AI-102 questions linked to Implement natural language processing solutions.

Implement generative AI solutions practice questions

Practise AI-102 questions linked to Implement generative AI solutions.

Implement agentic AI solutions practice questions

Practise AI-102 questions linked to Implement agentic AI solutions.

Implement knowledge mining and document intelligence solutions practice questions

Practise AI-102 questions linked to Implement knowledge mining and document intelligence solutions.

Plan and manage an Azure AI solution practice questions

Practise AI-102 questions linked to Plan and manage an Azure AI solution.

Implement content moderation solutions practice questions

Practise AI-102 questions linked to Implement content moderation solutions.

AI-102 fundamentals practice questions

Practise AI-102 questions linked to AI-102 fundamentals.

AI-102 scenario practice questions

Practise AI-102 questions linked to AI-102 scenario.

Frequently asked questions

What does the AI-102 exam test about Implement an agentic solution?
Implement an agentic solution questions test whether you can apply the concept in context, not just recognise a definition.
How should I use these practice questions?
Select your answer before revealing the explanation. Then read why each option is right or wrong — this active recall approach builds retention far faster than re-reading notes.
Can I practise just Implement an agentic solution questions in a focused session?
Yes — the session launcher on this page draws every question from the Implement an agentic solution domain. Use a 10-question session first to gauge your baseline, then move to 20 or 30 once the weak spots are clear.
Where can I practise other AI-102 topics?
Use the topic links above to move to related areas, or go back to the AI-102 question bank to see all topics.
Are these real exam questions or dumps?
These are original practice questions written to test the same concepts the AI-102 exam covers. They are not copied from any real exam or dump site.