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Scenario-based practice

Troubleshooting Scenario Questions

Practise Microsoft Azure AI Engineer Associate AI-102 practice questions — original exam-style scenarios covering every exam domain, with detailed explanations, wrong-answer analysis, and common exam traps.

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15
scenario questions
AI-102
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Microsoft
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Scenario guide

How to approach troubleshooting scenario questions

These questions describe a network symptom and ask you to identify the root cause or the correct fix. They appear across all certification exams and reward systematic thinking over memorisation. The best candidates follow a consistent troubleshooting framework even under time pressure.

Quick answer

Troubleshooting Scenario Questions 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.

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Practice set

Practice scenarios

Question 1mediummultiple choice
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A retail company uses Azure Computer Vision to analyze in-store camera feeds. They recently added a new product line and updated the object detection model. However, the model fails to detect the new products. What should the company do first?

Question 2mediummultiple choice
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A company is developing an agent that uses Azure AI Vision to analyze images uploaded by users. The agent must identify objects and read text in images. The team uses the Azure AI Vision API. During testing, the agent fails to read text from images with low contrast. What should the team do to improve optical character recognition (OCR) accuracy for such images?

Question 3mediummultiple choice
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You are building an agent for a legal firm that uses Azure OpenAI to analyze contracts. The agent must extract key clauses, identify risks, and summarize the contract. The agent uses a RAG pattern with Azure Cognitive Search as the vector database. After deployment, the agent sometimes returns irrelevant information or fails to find relevant clauses. You suspect the issue is with the chunking strategy. The contracts are large, typically 50-100 pages. Currently, you are chunking by page (each page is one chunk). You want to improve retrieval accuracy. Which action should you take?

Question 4mediummultiple choice
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A company is developing an agent that uses Azure AI Language to extract entities and intents from user queries. The agent receives a query: 'Book a flight to Paris on Friday.' The agent should extract the intent as 'BookFlight' and entities as 'Paris' (destination) and 'Friday' (date). The team uses a custom entity extraction model. After testing, the model extracts 'Paris' as location but fails to extract 'Friday' as date. What should the team do to fix this?

Question 5mediummultiple choice
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A company is building a chatbot using Azure Bot Service and Language Understanding (LUIS). The chatbot needs to handle user intents for booking flights and checking flight status. After testing, the chatbot frequently fails to distinguish between the two intents when users mention flight numbers. Which action should the engineer take to improve intent recognition?

Question 6mediummultiple choice
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Refer to the exhibit. You are configuring an agent in Azure AI Foundry. The agent fails to start because the specified model is not available in the current Azure OpenAI resource. What should you do to resolve the issue?

Exhibit

{
  "configurations": {
    "default": [
      {
        "model": {
          "provider": "AzureOpenAI",
          "name": "gpt-4",
          "version": "0613"
        },
        "connection_type": "Strong",
        "system_prompt": "You are an AI assistant..."
      }
    ]
  }
}
Question 7hardmultiple choice
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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?

Question 8hardmultiple choice
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You are troubleshooting a Copilot Studio agent that uses a Power Automate flow to look up customer information from a CRM system. The flow runs successfully when tested manually, but when the agent triggers it, the flow fails with an authentication error. What is the most likely cause?

Question 9hardmultiple 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 10hardmultiple choice
Full question →

Refer to the exhibit. You deploy this ARM template to create an agent. The agent uses a user-assigned managed identity to call an external weather API. The deployment succeeds but the agent fails to authenticate to the weather API. What is the most likely reason?

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": "AzureAI",
          "name": "gpt-4o"
        },
        "actions": [
          {
            "type": "openApi",
            "id": "weatherApi",
            "authentication": {
              "type": "ManagedIdentity",
              "resourceId": "[resourceId('Microsoft.ManagedIdentity/userAssignedIdentities', 'agent-identity')]"
            },
            "parameters": {
              "url": "https://api.weather.example.com/current"
            }
          }
        ]
      }
    }
  ]
}
Question 11mediummultiple choice
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You are troubleshooting an agentic solution where the agent is not returning responses within acceptable time limits. You suspect the agent is making too many sequential calls to external tools. Which strategy should you recommend to reduce latency?

Question 12mediummultiple choice
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You are troubleshooting an Azure AI Vision application that calls the Analyze Image API. The application suddenly returns HTTP 403 errors. The API key and endpoint have not changed. What is the most likely cause?

Question 13hardmultiple choice
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You are developing a chatbot for a retail company using Azure AI Language's custom question answering. The chatbot must provide answers from a knowledge base of 500 FAQ documents. Users often ask the same question in different wording, and the chatbot fails to return an answer for paraphrased queries. What is the most effective solution?

Question 14hardmultiple choice
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A company uses Azure AI Language Service with Custom Entity Recognition to extract invoice fields. The model correctly extracts invoice numbers but fails to extract dates in the format 'dd/mm/yyyy'. The training data includes dates in 'mm/dd/yyyy' format. What is the most likely issue?

Question 15hardmultiple choice
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A company uses Azure AI Language's conversational language understanding (CLU) to build a customer support bot. They want to integrate the bot with Microsoft Teams and need to ensure that user authentication is handled by Microsoft Entra ID. However, users report that the bot sometimes fails to respond when they are not signed into Microsoft Entra ID. What is the most likely cause?

These AI-102 practice questions are part of Courseiva's free Microsoft certification practice question bank. Courseiva provides original exam-style AI-102 questions with detailed explanations, topic-based practice, mock exams, readiness tracking, and study analytics.