Microsoft AI-901 exam dumps - Microsoft Azure AI Fundamentals

  • Exam Code: AI-901
  • Exam Name: Microsoft Azure AI Fundamentals
  • Updated: Oct 16, 2026     Q & A: 132 Questions and Answers

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Microsoft AI-901 Exam Syllabus Topics:

TopicDetails
Topic 1
  • Identify AI concepts and capabilities: This domain covers the foundational knowledge of AI from ethical principles and responsible design to understanding how AI models work and what kinds of tasks they can perform. It also explores the full range of AI workloads including generative AI, computer vision, speech, and information extraction.
Topic 2
  • Implement AI solutions by using Microsoft Foundry: This domain is hands-on and focuses on building and deploying AI solutions using the Microsoft Foundry platform and its associated tools. It spans generative AI apps, text and speech processing, computer vision, and document intelligence all implemented through the Foundry portal and SDK.

Reference: https://learn.microsoft.com/en-us/credentials/certifications/resources/study-guides/ai-901

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Microsoft Azure AI Fundamentals Sample Questions:

Question #1

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. a JSON document that describes the image content
  • B. a base64 encoded image data string
  • C. a UTF-8 encoded text description of the image
  • D. a publicly accessible URL of the image
Reveal Solution  Discussion  0

Correct Answer: B,D  🗳️

Explanation: Only visible for FreeDumps members. You can sign-up / login (it's free).

Question #2

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

Reveal Solution  Discussion  0

Correct Answer:


Explanation:

Statement 1: An AI generative model is retrained before performing each user request. = No A generative AI model is not retrained for every user request. During normal use, the model performs inference: it receives input, processes the prompt, and generates a response based on the deployed model.
Statement 2: An AI agent responds by copying and pasting answers stored in a database. = No An AI agent does not simply copy and paste stored answers. Agents use generative AI models, instructions, context, and optionally tools or connected data sources to reason over user input and produce responses or actions.
Statement 3: An AI agent uses a generative AI model to establish actions based on user input. = Yes This is correct. An AI agent uses a generative AI model together with instructions and available tools to interpret user input, determine the next action, and generate a response.

Question #3

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

Reveal Solution  Discussion  0

Correct Answer:


Explanation:

Statement 1: Using Azure Speech in Foundry Tools for batch transcription requires live audio input from a microphone. = No Batch transcription is used to process stored audio files, not live microphone input. Live microphone input is used for real-time speech recognition scenarios.
Statement 2: Azure Speech in Foundry Tools can analyze video frames to detect and label objects while transcribing audio. = No Azure Speech is for speech capabilities such as speech recognition, speech synthesis, and speech translation.
Detecting and labeling objects in video frames is a computer vision/video analysis capability, not an Azure Speech capability.
Statement 3: Speech translation in Azure Speech in Foundry Tools can translate spoken audio into text in another language. = Yes Speech translation converts spoken input in one language into translated text in another language.

Question #4

In the Microsoft Foundry portal, you create an agent named Agent1, and then deploy the agent.
You open the Foundry playground to test Agent1.
What does the playground use to ensure that the tests reflect production behavior?

  • A. the last saved configuration draft that was NOT deployed
  • B. the configuration of Agent1
  • C. the model ' s base behavior without any agent instructions or tools
  • D. a default configuration generated by the playground
Reveal Solution  Discussion  0

Correct Answer: B  🗳️

Question #5

You are deploying a generative Al model to a Microsoft Foundry project. You assign a higher tokens per minute (TPM) allocation to the model. What is the result of this change?

  • A. The Azure region availability of the model changes.
  • B. The model generates longer responses.
  • C. The speed and scale at which the model deployment can process inputs changes
  • D. The model generates shorter responses and additional source citations.
Reveal Solution  Discussion  0

Correct Answer: C  🗳️

Explanation: Only visible for FreeDumps members. You can sign-up / login (it's free).

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