AI-901 Certification Exam Guide + Practice Questions Updated 2026

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Comprehensive AI-901 certification exam guide covering exam overview, skills measured, preparation tips, and practice questions with detailed explanations.

AI-901 Exam Guide

This AI-901 exam focuses on practical knowledge and exam application scenarios related to the subject area. It evaluates your ability to understand core concepts, apply best practices, and make informed decisions in realistic situations rather than relying solely on memorization.

This page provides a structured exam guide, including exam focus areas, skills measured, preparation recommendations, and practice questions with explanations to support effective learning.

 

Exam Overview

The AI-901 exam typically emphasizes how concepts are used in professional environments, testing both theoretical understanding and practical problem-solving skills.

 

Skills Measured

  • Understanding of core concepts and terminology
  • Ability to apply knowledge to practical scenarios
  • Analysis and evaluation of solution options
  • Identification of best practices and common use cases

 

Preparation Tips

Successful candidates combine conceptual understanding with hands-on practice. Reviewing measured skills and working through scenario-based questions is strongly recommended.

 

Practice Questions for AI-901 Exam

The following practice questions are designed to reinforce key AI-901 exam concepts and reflect common scenario-based decision points tested in the certification.

Question#1

You need to build an AI solution that generates marketing email drafts based on a short description of a product and its target audience.
Which AI workload should you use?

A. generative AI
B. computer vision
C. text classification
D. speech recognition

Explanation:
Generating marketing email drafts from a short product description and target audience is a content generation task. This is a generative AI workload because the system creates new text based on the user’s prompt.
B. computer vision is for interpreting images or video.
C. text classification categorizes existing text, but does not draft new marketing emails.
D. speech recognition converts spoken audio into text.
Therefore, the correct answer is A. generative AI.

Question#2

HOTSPOT
Select the answer that correctly completes the sentence.


A. 

Explanation:
The completed sentence is:
An AI workload that produces new content based on user input is an example of generative AI.
Generative AI is used to create new content, such as text, images, code, audio, or other outputs , from user prompts or instructions.
The other options are incorrect:
content understanding extracts or interprets information from existing content.
information extraction identifies and extracts structured data from content.
text analysis analyzes existing text for entities, sentiment, key phrases, language, or summaries.

Question#3

HOTSPOT
Select the answer that correctly completes the sentence.


A. 

Question#4

HOTSPOT
Select the answer that correctly completes the sentence.


A. 

Explanation:
The Microsoft responsible AI principle of transparency requires that AI systems be explainable to users.
Transparency means users should understand when they are interacting with AI, what the system can and cannot do, and how outputs or predictions are generated at an appropriate level.
The other options map to different responsible AI principles: protect sensitive user data = Privacy and security reduce bias in decisions = Fairness require human oversight = Accountability

Question#5

You have a multimodal model deployed in Microsoft Foundry
You need to configure the model to analyze an image and provide both a written summary and an audio summary of the image.
What is the minimum number of user prompts that should be sent to the model?

A. 1
B. 2
C. 3
D. A

Explanation:
A multimodal model can receive a single user prompt that includes the image plus instructions. The prompt can ask for both outputs in one request, for example: “Analyze this image and provide a written summary and an audio summary.” Therefore, the minimum number of user prompts is 1.

Disclaimer

This page is for educational and exam preparation reference only. It is not affiliated with Microsoft, Microsoft Certified: Azure AI Fundamentals, or the official exam provider. Candidates should refer to official documentation and training for authoritative information.

Exam Code: AI-901Q & A:  130  Q&As Updated:  2026-11-09

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