20+ practice questions focused on Implement an agentic solution — one of the most tested topics on the Microsoft Azure AI Engineer Associate AI-102 exam. Each question includes a detailed explanation so you learn why the right answer is correct.
Start Implement an agentic solution PracticeYou 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?
Explanation: Options C and D are correct. C: Variables are used in Copilot Studio to store user-provided information like order numbers and reasons during the conversation. D: Custom entities allow the agent to extract specific data from user input, such as order numbers and return reasons. Option A is incorrect because Power Automate flows are for automation after data capture, not for initial input parsing. Option B is incorrect because trigger phrases define when a topic is activated, not capture data. Option E is incorrect because topics manage conversation flows, not data storage.
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?
Explanation: When an Azure Function uses function-level authorization, each function requires its own specific key. The `listKeys` function returns the host key by default, which does not grant access to a specific function, resulting in a 401 Unauthorized error. Options A and B are incorrect because the authentication type (ApiKey vs. ManagedIdentity) and the model provider (AzureOpenAI vs. AzureAI) do not cause a 401 when calling a function. Option C is incorrect because the URL parameter is not missing the function name; the agent's endpoint is correctly constructed.
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?
Explanation: (code_interpreter) is correct because it provides a sandboxed Python environment that allows installing packages and executing code securely. Option A (function) is incorrect because it is used for calling custom functions or APIs, not for running arbitrary code in a sandbox. Option C (openApi) is incorrect because it is for defining OpenAPI specifications for API endpoints, not for code execution. Option D (httpRequest) is incorrect because it is for making HTTP requests to external services, not for sandboxed code execution.
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?
Explanation: A system prompt is missing. In the Chat Completions API, a system message sets the behavior and context for the assistant. Without it, the agent may not understand when to call the 'get_weather' function. The system prompt should instruct the assistant to use the function when appropriate.
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?
Explanation: The function definition lacks a 'description' property. In the Assistants API, the 'description' field is critical for the model to understand when and why to invoke a function. Without it, the model may not recognize that the function is relevant to the user's query about weather, causing it to respond directly instead of calling the function.
+15 more Implement an agentic solution questions available
Practice all Implement an agentic solution questions1. Baseline your knowledge
Start with 10 questions to gauge your current understanding of Implement an agentic solution. This tells you whether you need a concept refresher or just practice.
2. Review every explanation
For each question — right or wrong — read the full explanation. Understanding why an answer is correct is more valuable than knowing the answer itself.
3. Focus on exam traps
Implement an agentic solution questions on the AI-102 frequently use trap wording. Look for subtle differences in answers that test your precision, not just general knowledge.
4. Reach 80% consistently
Do repeated sessions until you score 80%+ three times in a row. Then move to mixed-mode practice to test cross-topic recall under realistic conditions.
The exact number varies per candidate. Implement an agentic solution is tested as part of the Microsoft Azure AI Engineer Associate AI-102 blueprint. Practicing with targeted Implement an agentic solution questions ensures you can handle any format or difficulty that appears.
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