Microsoft AI-901 Dumps (V8.02) 2026 – Replacing the AI-900 Exam for the Microsoft Azure AI Fundamentals (beta) Exam Preparation

The AI-900 exam is retiring on June 30, 2026, and is being replaced by the AI-901 exam. The updated version of the AI-901 exam is available in beta, testing your ability to show the conceptual knowledge and practical understanding needed to work with AI solutions on Azure. To help you prepare for the AI-901 exam efficiently, DumpsBase has completed the AI-901 dumps (V8.02), letting you read through the exam topics, review practice content, and feel a strong sense of progress. The AI-901 dumps (V8.02) contain 50 practice questions and answers, which are highly organized. These Q&As give your preparation a purposeful direction. Instead of trying to guess what might appear, you study with DumpsBase AI-901 dumps (V8.02) already aligned with current Microsoft Azure AI Fundamentals exam trends.

Reading AI-901 free dumps below to verify the questions first:

1. DRAG DROP

You have a Microsoft Foundry project named project1 that contains an Azure OpenAI resource named Resource1.

To Resource1, you deploy a gpt-4.1-mini model by using a model deployment named my-mini-gpt.

You need to connect to my-mini-gpt from an application.

How should you complete the Python code? To answer, drag the appropriate values to the correct targets. Each value may be used once, more than once, or not at all. NOTE: Each correct selection is worth one point.

2. 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?

document analyzer

video analyzer

audio analyzer

image analyzer

3. 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?

tokens per minute (TPM)

system instructions

temperature

max completion tokens

4. HOTSPOT

You are developing a voice application that listens for spoken commands and converts them into text by using Azure Speech in Foundry Tools.

How should you complete the Python code? To answer, select the appropriate option in the answer area. NOTE: Each correct selection is worth one point.

5. HOTSPOT

For each of the following statements, select Yes if the statement is true. Otherwise, select No. NOTE: Each correct selection is worth one point.

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

You are developing an application that sends images to the model.

You need to ensure that the model can analyze the images.

In which two formats can you provide the images? Each correct answer presents part of the solution. NOTE: Each correct selection is worth one point.

a JSON document that describes the image content

a UTF-8 encoded text description of the image

a publicly accessible URL of the image

a base64 encoded image data string

7. 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?

auto

none

required

8. DRAG DROP

You are developing an application that extracts structured information from different types of content by using Azure Content Understanding in Foundry Tools.

You need to extract scanned invoices in the PDF format and voicemail recordings in the WAV format.

Which type of analyzer should you use for each content type? To answer, drag the appropriate analyzer types to the correct content types. Each analyzer type may be used once, more than once, or not at all. You may need to drag the split bar between panes or scroll to view content. NOTE: Each correct selection is worth one point.

9. 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?

The model training dataset

The Foundry project display name

The exported playground session history

The model endpoint and authentication credentials

10. 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.

defines constraints on the model's responses

defines the agent's role and behavior

defines the Azure region where inference occurs

selects which model to use

defines the tokens per minute (TPM) allocation for the model

11. You are developing an application that extracts fields from PDFs by using Azure Content Understanding in Foundry Tools.

You need to use the Python SDK to submit a PDF for analysis and retrieve the extraction results.

What should you do?

Call begin_analyze(), and then call poller.result() to retrieve the results.

Submit the PDF to an analyzer and read the results from the request headers.

Use optical character recognition (OCR) to extract text from the PDF and map the fields in the code.

Call analyze() to return the extracted fields synchronously in the same request.

12. DRAG DROP

You have a Microsoft Foundry project that contains a model deployment.

You are developing an application that sends an image and a user question to the model.

You need to send both text and image content in the same request so the model can return an answer.

How should you complete the Python code? To answer, drag the appropriate values to the correct targets. Each value may be used once, more than once, or not at all. You may need to drag the split bar between panes or scroll to view content. NOTE: Each correct selection is worth one point.

13. 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?

a transcription workflow in Azure Speech in Foundry Tools

an optical character recognition (OCR)-only document processing pipeline

an analyzer in Azure Content Understanding in Foundry Tools

an Azure AI Search service

14. You have an Azure subscription.

You need to use Azure Content Understanding in Foundry Tools to extract structured data from invoices.

What should you provision?

an Azure OpenAI resource

a Microsoft Foundry resource

A Microsoft Foundry project

an Azure AI Search service

15. HOTSPOT

Select the answer that correctly completes the sentence.

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