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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.

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20 questionsDomain: Implement an agentic solution
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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

Question 1easymulti select
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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?

Question 2mediummultiple choice
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Refer to the exhibit. You deploy this ARM template to create an agent in Microsoft Foundry. The agent uses an Azure Function as an action. The deployment succeeds but when the agent calls the function, it gets a 401 Unauthorized error. What is the most likely cause?

Exhibit

{
  "$schema": "https://schema.management.azure.com/schemas/2019-04-01/deploymentTemplate.json#",
  "contentVersion": "1.0.0.0",
  "resources": [
    {
      "type": "Microsoft.Agents/agent",
      "apiVersion": "2025-01-01-preview",
      "name": "MyAgent",
      "properties": {
        "displayName": "MyAgent",
        "model": {
          "provider": "AzureOpenAI",
          "name": "gpt-4o-mini",
          "version": "2024-07-18"
        },
        "actions": [
          {
            "type": "openApi",
            "id": "weatherApi",
            "authentication": {
              "type": "ApiKey",
              "keyName": "x-functions-key",
              "keyValue": "[listKeys(resourceId('Microsoft.Web/sites/functions', 'MyFunctionApp'), '2022-03-01').functionKeys.default]"
            },
            "parameters": {
              "url": "https://myfunctionapp.azurewebsites.net/api/weather"
            }
          }
        ]
      }
    }
  ]
}
Question 3hardmultiple choice
Study the full Python automation breakdown →

You are building an agent using Azure AI Agent Service that must execute code in a sandbox environment. The code should be able to install Python packages. Which action type should you use?

Question 4mediummultiple choice
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Refer to the exhibit. You are sending a request to an agent using the Chat Completions API. The agent should decide whether to call the 'get_weather' function or not. What is missing from the request to enable the agent to properly use the function?

Exhibit

Refer to the exhibit.

{
  "model": "gpt-4o",
  "messages": [
    {
      "role": "user",
      "content": "What is the weather in Seattle?"
    }
  ],
  "tools": [
    {
      "type": "function",
      "function": {
        "name": "get_weather",
        "description": "Get weather",
        "parameters": {
          "type": "object",
          "properties": {
            "location": {
              "type": "string"
            }
          },
          "required": ["location"]
        }
      }
    }
  ],
  "tool_choice": "auto"
}
Question 5hardmultiple choice
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Refer to the exhibit. You have created an assistant with the above configuration. When you send a message 'What is the weather in Seattle?', the assistant responds without calling the function. What is the most likely cause?

Exhibit

Refer to the exhibit.

{
  "assistant_id": "asst_xyz",
  "instructions": "You are a helpful assistant. When asked about weather, call the get_weather function.",
  "tools": [
    {
      "type": "code_interpreter"
    },
    {
      "type": "function",
      "function": {
        "name": "get_weather",
        "strict": true,
        "parameters": {
          "type": "object",
          "properties": {
            "location": {
              "type": "string"
            }
          },
          "required": ["location"]
        }
      }
    }
  ],
  "tool_resources": {
    "code_interpreter": {
      "file_ids": []
    }
  }
}
Question 6hardmultiple choice
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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?

Question 7mediummultiple choice
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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?

Question 8easymultiple choice
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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?

Question 9hardmultiple choice
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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?

Question 10mediummultiple choice
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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?

Question 11easymultiple choice
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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?

Question 12hardmultiple choice
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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?

Question 13mediummultiple choice
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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?

Question 14easymultiple choice
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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?

Question 15hardmulti select
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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?

Question 16mediummulti select
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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?

Question 17mediummultiple choice
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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"
          }
        ]
      }
    }
  ]
}
Question 18hardmultiple choice
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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>"
      }
    }
  }
}
Question 19easymultiple choice
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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."
    }
}
Question 20mediummultiple choice
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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?

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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.
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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.