Free Microsoft AI-901 Practice Questions & Answers 2026 Part1 | Microsoft Azure AI Fundamentals

You have a Microsoft Foundry project that contains a generative AI model deployment.You test the model by using the Foundry playground.You need to develop an application that sends requests to the deployed model.Which information must the application include to call the model?

You are developing an application that analyzes voicemail recordings by using Azure Content Understanding in Foundry Tools. You need to extract a transcript and structured information from the recordings. Which type of analyzer should you use?

What are two purposes of instructions when prompting a generative AI model? Each correct answer presents part of the solution.Note: Each correct selection is worth one point.

You have a Microsoft Foundry project that contains an agent named Agent1. You need to ensure that Agent1 always calls an Azure function when the agent responds to user input. To what should you set tool_choice for Agent1?

You need to convert written customer notifications into natural-sounding spoken audio that can be played over a phone system. Which Azure Speech in Foundry Tools capability should you use?

You are building a Conversational Language Understanding model for an e-commerce business.You need to ensure that the model detects when utterances are outside the intended scope of the model.What should you do?

You need to convert written customer notifications into natural-sounding spoken audio that can be played over a phone system. Which Azure Speech in Foundry Tools capability should you use?

What are two purposes of instructions when prompting a generative AI model? Each correct answer presents part of the solution. NOTE Each correct selection is worth one point.

You are developing an application that processes voicemail recordings by using Azure Content Understanding in Foundry Tools. Which feature does Azure Content Understanding use to convert audio to text? Azure Content Understanding uses transcription to convert audio content, such as voicemail recordings, into text. Microsoft's Azure Content Understanding audio documentation states that transcription converts conversational audio into searchable and analyzable text-based transcripts. Option A. Voice Live is not the feature used by Content Understanding to convert voicemail recordings into text. Option B. key phrase extraction identifies important phrases after text is available; it is not the audio-to-text conversion step. Option D. optical character recognition (OCR) is for extracting text from images or documents, not audio. Therefore, the correct answer is C. transcription.

You are developing a web app that processes invoices to calculate expenses. You need to extract structured fields, including nested values, from the invoices by using a defined schema. What should you use?

What are two purposes of instructions when prompting a generative AI model? Each correct answer presents part of the solution. NOTE: Each correct selection is worth one point. Microsoft Foundry Agent Service documentation states that instructions define goals, constraints, and behavior for an agent. Therefore, instructions are used to guide how the generative AI model or agent should respond and behave. Option A is correct because instructions can define constraints the model must follow. Option B is correct because instructions can define the agent's role and behavior. Options C, D, and E are incorrect because Azure region, model selection, and TPM allocation are configuration or deployment/resource settings, not purposes of prompt instructions.

You have an Azure Machine Learning model that generates a large quantity of false negatives.You need to reduce the number of false negatives without re-training the model.What should you do?

Based on the image provided, here is the transcribed text: You need to build an AI solution that produces new product images based on written descriptions provided by users. Which AI workload should you use?

You have a dataset that contains experimental data for fuel samples.You need to predict the amount of energy in kilojoules that can be obtained from a sample based on its measured density.Which type of AI workload should you use?

You have a Microsoft Foundry project that contains a vision-enabled model deployment. You need to develop an application that sends a message containing text and an image URL. The solution must ensure the quickest response time. Which message structure should you include in the request?

You are using the Azure Speech SDK to develop a Python application that supports real-time spoken conversations.Which Azure Speech class should you use to configure the connection to the Azure Speech service?

What are two purposes of instructions when prompting a generative AI model? Each correct answer presents part of the solution.

You are sending an image to a vision-enabled model from an application.

You have a Microsoft Foundry project that contains an agent named Agent1.You need to ensure that Agent1 always calls an Azure function when the agent responds to user input.To what should you set tool_choice for Agent1?

You are using the Azure Speech SDK to develop a Python application that supports real-time spoken conversations.Which Azure Speech class should you use to configure the connection to the Azure Speech service?

What are two purposes of instructions when prompting a generative AI model? Each correct answer presents part of the solution.NOTE: Each correct selection is worth one point.

You need to convert written customer notifications into natural-sounding spoken audio that can be played over a phone system.Which Azure Speech in Foundry Tools capability should you use?

You need to create an AI agent in Microsoft Foundry that follows a specific role and behavior when responding to users.What should you configure?

You have a Microsoft Foundry project that contains an agent named Agent1.You need to ensure that Agent1 always calls an Azure function when the agent responds to user input.To what should you set tool_choice for Agent1?

You are developing a web app that processes invoices to calculate expenses.You need to extract structured fields, including nested values, from the invoices by using a defined schema.What should you use?

You have a Microsoft Foundry project that contains a vision-enabled model deployment.

You need to compare the costs of large language models (LLMs) for a generative AI solution.