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AI-901 Microsoft Azure AI Fundamentals (Updated Version)

  • Microsoft
  • 125 practice questions
  • Updated Sep 2026
  • 5 free sample questions

About this exam

AI-901 is the Microsoft exam Microsoft Azure AI Fundamentals (Updated Version). Practice material is available as a PDF, an interactive practice test or a bundle of both.

Exam code
AI-901
Vendor
Microsoft
Practice questions
125
Questions with an explanation
65 of 125
Free sample questions
5
Question bank last updated
5 Sep 2026

Try 2 sample questions

Taken from the free sample set for AI-901.

Question 1

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?

  1. Option A:
    document analyzer
  2. Option B:
    video analyzer
  3. Option C:
    audio analyzer
  4. Option D:
    image analyzer 
Show answer and explanation

Correct answer: C

Voicemail recordings are audio content. Azure Content Understanding analyzers define what type of content to process, including documents, images, audio, or video, and what elements to extract, including transcripts and structured fields. Microsoft’s custom analyzer documentation also shows an audio example based on prebuilt-audio for processing customer support call recordings, which is the same content type as voicemail recordings. Therefore, to extract a transcript and structured information from voicemail recordings, you should use an audio analyzer. 

Question 2 (choose 2)

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.

  1. Option A:
    defines constraints on the model's responses
  2. Option B:
    defines the agent's role and behavior
  3. Option C:
    defines the Azure region where inference occurs
  4. Option D:
    selects which model to use
  5. Option E:
    defines the tokens per minute (TPM) allocation for the model 
Show answer and explanation

Correct answer: A, B

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. 
See all 5 free sample questions