AI-103 Practice Questions
Developing AI Apps and Agents on Azure
Last Update 3 days ago
Total Questions : 96
Dive into our fully updated and stable AI-103 practice test platform, featuring all the latest Azure AI Engineer Associate exam questions added this week. Our preparation tool is more than just a Microsoft study aid; it's a strategic advantage.
Our free Azure AI Engineer Associate practice questions crafted to reflect the domains and difficulty of the actual exam. The detailed rationales explain the 'why' behind each answer, reinforcing key concepts about AI-103. Use this test to pinpoint which areas you need to focus your study on.
You have a Microsoft Foundry project that contains an agent named PaymentAgent.
PaymentAgent includes a function tool that issues customer refunds by using an external API.
You are creating a workflow in YAML.
You need to ensure that the workflow pauses for human approval and continues with the refund step only after approval is granted.
How should you complete the workflow definition? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
You have an Azure subscription that contains a Microsoft Foundry resource. You need to build an app that will suggest product names from a given product description. Which Foundry model should you use?
You have a Microsoft Foundry project that contains an agent. The agent uses Azure AI Search for Retrieval Augmented Generation (RAG). You plan to ingest and index PDF product manuals. You need to build a solution that supports semantic similarity matching. The solution must ensure that the agent retrieves relevant data when user questions use different wording than the product manuals.
You are building a web app named App1 that generates responses by using a model deployed to a Microsoft Foundry project named Project1.
Before sending the prompts to the model, App1 must retrieve documents by using Azure AI Search.
You need to integrate Project1 and App1. The solution must meet the following requirements:
• Multiple client applications must use the same search configuration.
• A security policy must prevent key-based authentication.
• Administrative effort must be minimized.
What should you do?
You are creating an agent workflow in a Microsoft Foundry project to support natural voice interactions.
The agent must receive continuous audio input, convert the input into text for reasoning, and then return spoken responses to a
user. The workflow must meet the following requirements:
. Support turn-taking dynamics, where the agent begins to generate the speech output before the user finishes speaking.
. Operate with low latency to maintain a conversational experience.
You need to enable both speech to text and text to speech in a real-time agent interaction.
What should you do?
